Unmanned aerial vehicle cluster directional access protocol optimization method and system, and medium

Abstract

The invention provides an unmanned aerial vehicle cluster directional access protocol optimization method and system and a medium. The method comprises the following steps: acquiring application scene information and task demand information of a preset unmanned aerial vehicle cluster, determining a protocol selection standard, acquiring an adaptive directional access protocol through a preset performance parameter database according to the protocol selection standard, acquiring communication performance feature data of the adaptive directional access protocol, processing to obtain a protocol communication steady-state index, and sending the protocol communication steady-state index to the unmanned aerial vehicle cluster. The method comprises the following steps: acquiring network performance characteristic data of an adaptive directional access protocol, processing to obtain a protocol network efficiency index, acquiring energy consumption performance characteristic data of the adaptive directional access protocol, processing to obtain a protocol energy consumption state index, and performing performance evaluation according to a protocol communication steady-state index and the protocol network efficiency index in combination with the protocol energy consumption state index. And obtaining a protocol performance evaluation index, and performing corresponding optimization on the adaptive directional access protocol according to the protocol performance evaluation index, thereby realizing a technology for optimizing the directional access protocol of the unmanned aerial vehicle cluster.

Description

Technical Field

[0001] The present application relates to the technical field of directional access protocols, and more specifically, to a method, system and medium for optimizing directional access protocols for drone clusters. Background Art

[0002] With the rapid development of drone technology, drone swarms have been widely used in military, civilian and other fields. However, in large-scale drone swarms, traditional access protocols often have problems such as low communication efficiency and unstable access, which seriously affect the collaborative operation capabilities of drone swarms.

[0003] Due to the dynamics and complexity of drone clusters, traditional access protocols often cannot meet the needs of different mission scenarios and network environments. Therefore, an access protocol optimization method that can be adaptively adjusted is needed to improve the communication performance and mission execution efficiency of drone clusters.

[0004] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention

[0005] The purpose of the present application is to provide a method, system and medium for optimizing a directional access protocol for a drone cluster, which can obtain an adapted directional access protocol according to the application scenario information and task requirement information of the drone cluster, and then process the communication performance characteristic data, network performance characteristic data and energy consumption performance characteristic data of the adapted directional access protocol respectively, to obtain the corresponding protocol communication steady-state index, protocol network efficiency index and protocol energy consumption state index, further process to obtain the protocol performance evaluation index, and optimize the adapted directional access protocol accordingly, so as to realize the technology of optimizing the directional access protocol for a drone cluster.

[0006] The present application also provides a method for optimizing a drone cluster directional access protocol, comprising the following steps: Obtain application scenario information and task requirement information of a preset drone cluster, determine a protocol selection criterion, and obtain an adapted directional access protocol through a preset performance parameter database according to the protocol selection criterion; Acquire the communication performance characteristic data of the adapted directional access protocol, and process to obtain the protocol communication steady-state index; Acquire network performance characteristic data of the adapted directional access protocol, and process to obtain a protocol network efficiency index; Acquire the energy consumption performance characteristic data of the adapted directional access protocol, and process to obtain the protocol energy consumption state index; According to the protocol communication steady-state index and the protocol network efficiency index, performance evaluation is performed in combination with the protocol energy consumption state index to obtain a protocol performance evaluation index, and the adapted directional access protocol is optimized accordingly according to the protocol performance evaluation index.

[0007] Optionally, in the method for optimizing the directional access protocol of the drone cluster described in the present application, the step of obtaining application scenario information and task requirement information of the preset drone cluster and determining a protocol selection criterion, and obtaining an adapted directional access protocol through a preset performance parameter database according to the protocol selection criterion includes: Obtain application scenario information and mission requirement information of the preset drone cluster; The mission requirement information includes performance requirement information, mission-specific requirement information, and reliability and safety requirement information; Determine the protocol selection criteria based on the application scenario information, performance requirement information, task-specific requirement information, and reliability and safety requirement information; According to the protocol selection criteria, an adapted directional access protocol is obtained through a preset performance parameter database.

[0008] Optionally, in the method for optimizing the directional access protocol of the drone cluster described in the present application, the step of obtaining the communication performance characteristic data of the adapted directional access protocol and processing to obtain the protocol communication steady-state index includes: Acquiring communication performance characteristic data of the adapted directional access protocol, including throughput data, delay data, bit error rate data, packet loss rate data, electromagnetic interference intensity data, transmission power data, and operating frequency band data; Obtain reliability data according to the bit error rate data, packet loss rate data and electromagnetic interference intensity data; Obtaining anti-interference capability data according to the electromagnetic interference intensity data, the transmission power data and the working frequency band data; The throughput data, delay data and reliability data are processed in combination with the anti-interference capability data to obtain a protocol communication steady-state index.

[0009] Optionally, in the method for optimizing the directional access protocol for a drone cluster described in the present application, the step of obtaining network performance characteristic data adapted to the directional access protocol and processing to obtain a protocol network efficiency index includes: Acquiring network performance characteristic data of the adapted directional access protocol, including network scale data, communication load data, function expansion data, node distribution data, connection dynamics data, routing efficiency data, and resource management efficiency data; Obtain scalability data according to the network scale data, communication load data and function expansion data; Obtaining network topology adaptability data based on the network scale data, node distribution data, and connection dynamics data; The protocol network efficiency index is obtained according to the routing efficiency data, resource management efficiency data and scalability data in combination with the network topology adaptability data.

[0010] Optionally, in the method for optimizing the directional access protocol of the drone cluster described in the present application, the step of obtaining the energy consumption performance characteristic data of the adapted directional access protocol and processing to obtain the protocol energy consumption state index includes: Obtaining energy consumption performance characteristic data of the adapted directional access protocol, including communication energy consumption data, computing energy consumption data, and single UAV energy consumption extreme difference data; The communication energy consumption data, the calculation energy consumption data and the extreme difference data of energy consumption of a single UAV are processed to obtain a protocol energy consumption status index.

[0011] Optionally, in the drone cluster directional access protocol optimization method described in the present application, the performance evaluation is performed according to the protocol communication steady-state index and the protocol network efficiency index, combined with the protocol energy consumption state index, to obtain a protocol performance evaluation index, and the adaptation directional access protocol is optimized accordingly according to the protocol performance evaluation index, including: According to the protocol communication steady-state index and the protocol network efficiency index, combined with the protocol energy consumption state index, a performance evaluation is performed to obtain a protocol performance evaluation index; Comparing the protocol performance evaluation index with a preset protocol performance evaluation threshold to obtain a comparison result; The operation effect of the adapted directional access protocol is judged according to the comparison result, and corresponding optimization is performed.

[0012] In a second aspect, the present application provides a drone cluster directional access protocol optimization system, the system comprising: a memory and a processor, the memory comprising a program of a drone cluster directional access protocol optimization method, and the program of the drone cluster directional access protocol optimization method is executed by the processor to implement the following steps: Obtain application scenario information and task requirement information of a preset drone cluster, determine a protocol selection criterion, and obtain an adapted directional access protocol through a preset performance parameter database according to the protocol selection criterion; Acquire the communication performance characteristic data of the adapted directional access protocol, and process to obtain the protocol communication steady-state index; Acquire network performance characteristic data of the adapted directional access protocol, and process to obtain a protocol network efficiency index; Acquire the energy consumption performance characteristic data of the adapted directional access protocol, and process to obtain the protocol energy consumption state index; According to the protocol communication steady-state index and the protocol network efficiency index, performance evaluation is performed in combination with the protocol energy consumption state index to obtain a protocol performance evaluation index, and the adapted directional access protocol is optimized accordingly according to the protocol performance evaluation index.

[0013] Optionally, in the drone cluster directional access protocol optimization system described in the present application, it is characterized in that the application scenario information and task requirement information of the preset drone cluster are obtained, and the protocol selection criteria are determined, and the adapted directional access protocol is obtained through a preset performance parameter database according to the protocol selection criteria, including: Obtain application scenario information and mission requirement information of the preset drone cluster; The mission requirement information includes performance requirement information, mission-specific requirement information, and reliability and safety requirement information; Determine the protocol selection criteria based on the application scenario information, performance requirement information, task-specific requirement information, and reliability and safety requirement information; According to the protocol selection criteria, an adapted directional access protocol is obtained through a preset performance parameter database.

[0014] Optionally, in the drone cluster directional access protocol optimization system described in the present application, the acquiring of the communication performance characteristic data of the adapted directional access protocol and the processing to obtain the protocol communication steady-state index include: Acquiring communication performance characteristic data of the adapted directional access protocol, including throughput data, delay data, bit error rate data, packet loss rate data, electromagnetic interference intensity data, transmission power data, and operating frequency band data; Obtain reliability data according to the bit error rate data, packet loss rate data and electromagnetic interference intensity data; Obtaining anti-interference capability data according to the electromagnetic interference intensity data, the transmission power data and the working frequency band data; The throughput data, delay data and reliability data are processed in combination with the anti-interference capability data to obtain a protocol communication steady-state index.

[0015] In the third aspect, the present application also provides a computer-readable storage medium, which stores a drone cluster directional access protocol optimization method program. When the drone cluster directional access protocol optimization method program is executed by a processor, the steps of the drone cluster directional access protocol optimization method as described in any one of the above items are implemented.

[0016] As can be seen from the above, the method, system and medium for optimizing the directional access protocol of the drone cluster disclosed in the present invention obtain the application scenario information and task requirement information of the preset drone cluster, and determine the protocol selection criteria, and obtain the adaptation directional access protocol through the preset performance parameter database according to the protocol selection criteria, obtain the communication performance characteristic data of the adaptation directional access protocol, process to obtain the protocol communication steady-state index, obtain the network performance characteristic data of the adaptation directional access protocol, process to obtain the protocol network efficiency index, obtain the energy consumption performance characteristic data of the adaptation directional access protocol, process to obtain the protocol energy consumption state index, perform performance evaluation according to the protocol communication steady-state index and the protocol network efficiency index, combined with the protocol energy consumption state index, obtain the protocol performance evaluation index, and optimize the adaptation directional access protocol according to the protocol performance evaluation index, and make corresponding adjustments, thereby realizing the technology of optimizing the directional access protocol of the drone cluster.

[0017] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or understood by practicing the embodiments of the present application. The purpose and other advantages of the present application can be realized and obtained by the structures specifically pointed out in the written description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments of the present application will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0019] Figure 1 A flowchart of a method for optimizing a drone cluster directional access protocol provided in an embodiment of the present application; Figure 2 A flowchart of obtaining a protocol communication steady-state index for a method for optimizing a drone cluster directional access protocol provided in an embodiment of the present application; Figure 3 A flowchart of obtaining a protocol network efficiency index for a method for optimizing a drone cluster directional access protocol provided in an embodiment of the present application; Figure 4 A flowchart of obtaining the protocol energy consumption state index of the drone cluster directional access protocol optimization method provided in an embodiment of the present application. DETAILED DESCRIPTION

[0020] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the drawings is not intended to limit the scope of the application claimed for protection, but merely represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without making creative work belong to the scope of protection of the present application.

[0021] It should be noted that similar reference numerals and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of this application, the terms "first", "second", etc. are only used to distinguish the description and cannot be understood as indicating or implying relative importance.

[0022] Please refer to Figure 1 , Figure 1 The following is a flow chart of a method for optimizing a directional access protocol for a drone cluster in some embodiments of the present application. The method for optimizing a directional access protocol for a drone cluster is used in a terminal device, such as a computer, a mobile phone terminal, etc. The method for optimizing a directional access protocol for a drone cluster includes the following steps: S11, obtaining application scenario information and task requirement information of a preset drone cluster, and determining a protocol selection criterion, and obtaining an adapted directional access protocol through a preset performance parameter database according to the protocol selection criterion; S12, acquiring communication performance characteristic data of the adapted directional access protocol, and processing to obtain a protocol communication steady-state index; S13, obtaining the network performance characteristic data of the adapted directional access protocol, and processing to obtain the protocol network efficiency index; S14, obtaining energy consumption performance characteristic data of the adapted directional access protocol, and processing to obtain a protocol energy consumption state index; S15. Perform performance evaluation based on the protocol communication steady-state index and the protocol network efficiency index in combination with the protocol energy consumption state index to obtain a protocol performance evaluation index, and optimize the adapted directional access protocol accordingly based on the protocol performance evaluation index.

[0023] It should be noted that with the rapid development of drone technology, drone clusters have been widely used in military and civilian fields. However, in large-scale drone clusters, traditional access protocols often have problems such as low communication efficiency and unstable access, which seriously affect the collaborative operation capability of drone clusters. In order to solve the above problems, the present application technology provides a method for optimizing drone cluster directional access protocols. In this embodiment, firstly, by obtaining the application scenario information and task requirement information of the preset drone cluster, and determining the protocol selection criteria, according to the protocol selection criteria, the adaptive directional access protocol is obtained through the preset performance parameter database, the communication performance characteristic data of the adaptive directional access protocol is obtained, the protocol communication steady-state index is obtained, the network performance characteristic data of the adaptive directional access protocol is obtained, the protocol network efficiency index is obtained, the energy consumption performance characteristic data of the adaptive directional access protocol is obtained, the protocol energy consumption state index is obtained, and the performance evaluation is performed according to the protocol communication steady-state index and the protocol network efficiency index, combined with the protocol energy consumption state index, to obtain the protocol performance evaluation index, and the adaptive directional access protocol is optimized accordingly according to the protocol performance evaluation index, thereby realizing the technology of optimizing drone cluster directional access protocol.

[0024] According to an embodiment of the present invention, the method of obtaining application scenario information and task requirement information of a preset drone cluster and determining a protocol selection criterion, and obtaining an adapted directional access protocol through a preset performance parameter database according to the protocol selection criterion includes: Obtain application scenario information and mission requirement information of the preset drone cluster; The mission requirement information includes performance requirement information, mission-specific requirement information, and reliability and safety requirement information; Determine the protocol selection criteria based on the application scenario information, performance requirement information, task-specific requirement information, and reliability and safety requirement information; According to the protocol selection criteria, an adapted directional access protocol is obtained through a preset performance parameter database.

[0025] It should be noted that the application scenario information and mission requirement information of the preset UAV cluster are obtained, among which the mission requirement information includes performance requirement information, mission-specific requirement information and reliability and safety requirement information. The performance requirements include flight performance, payload capacity and communication capabilities, etc. The mission-specific requirements include reconnaissance and surveillance missions, target strike missions, logistics distribution missions and environmental monitoring missions, etc., and then the selection criteria of the directional access protocol are determined based on the above information. For example, if the task has high real-time requirements, delay can be used as the primary criterion, and the protocol with lower delay in the database is given priority. Then, according to the protocol selection criteria, the adapted directional access protocol is obtained through the preset performance parameter database.

[0026] Please refer to Figure 2 , Figure 2 The flowchart of obtaining the protocol communication steady-state index of the method for optimizing the directional access protocol of the drone cluster in some embodiments of the present application. According to the embodiment of the present invention, the communication performance characteristic data of the adapted directional access protocol is obtained, and the protocol communication steady-state index is obtained by processing, including: S21, obtaining communication performance characteristic data of the adapted directional access protocol, including throughput data, delay data, bit error rate data, packet loss rate data, electromagnetic interference intensity data, transmission power data, and operating frequency band data; S22, obtaining reliability data according to the bit error rate data, packet loss rate data and electromagnetic interference intensity data; S23, obtaining anti-interference capability data according to the electromagnetic interference intensity data, the transmission power data and the working frequency band data; S24. Processing the throughput data, delay data, and reliability data in combination with the anti-interference capability data to obtain a protocol communication steady-state index.

[0027] It should be noted that the obtained adapted directional access protocol is monitored, and communication performance characteristic data, including throughput, delay, bit error rate, packet loss rate, electromagnetic interference intensity, transmission power and working frequency band data, are obtained. The reliability data is obtained by processing the bit error rate data, packet loss rate data and electromagnetic interference intensity data through a preset directional access protocol data processing model. The anti-interference capability data is obtained by processing the electromagnetic interference intensity data, transmission power data and working frequency band data through a preset directional access protocol data processing model. Then, the throughput data, delay data and reliability data are processed in combination with the anti-interference capability data to obtain the protocol communication steady-state index. Wherein, the calculation formula of the protocol communication steady-state index is: ; in, is the protocol communication steady-state index, , , , They are throughput data, delay data, reliability data, and anti-interference capability data. , , , It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset directional access protocol database).

[0028] Please refer to Figure 3 , Figure 3The flowchart of the method for optimizing the directional access protocol of the drone cluster in some embodiments of the present application is to obtain the protocol network efficiency index. According to the embodiment of the present invention, the network performance characteristic data of the adapted directional access protocol is obtained, and the protocol network efficiency index is obtained by processing, including: S31, obtaining network performance characteristic data of the adaptation directional access protocol, including network scale data, communication load data, function expansion data, node distribution data, connection dynamics data, routing efficiency data and resource management efficiency data; S32, obtaining scalability data according to the network scale data, communication load data and function expansion data; S33, obtaining network topology adaptability data according to the network scale data, node distribution data and connection dynamics data; S34. Obtain a protocol network efficiency index according to the routing efficiency data, resource management efficiency data and scalability data in combination with the network topology adaptability data.

[0029] It should be noted that the network performance characteristic data adapted to the directional access protocol are obtained, including network scale data, communication load data, function expansion data, node distribution data, connection dynamics data, routing efficiency data and resource management efficiency data, wherein the network scale data refers to the upper limit of the number of drones supported by the protocol, the communication load data refers to the amount of data transmission between drones, the function expansion data refers to the scalability of the protocol, and the connection dynamics data refers to the average moving speed of the nodes in the drone cluster. The scalability data is obtained by processing the network scale data, communication load data and function expansion data through a preset directional access protocol data processing model. The network topology adaptability data is obtained by processing the network scale data, node distribution data and connection dynamics data through a preset directional access protocol data processing model. Then, the routing efficiency data, resource management efficiency data and scalability data are combined with the network topology adaptability data to obtain the protocol network efficiency index. The calculation formula of the protocol network efficiency index is: ; in, is the protocol network efficiency index, , , , They are routing efficiency data, resource management efficiency data, scalability data, and network topology adaptability data. , , , It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset directional access protocol database).

[0030] Please refer to Figure 4 , Figure 4 The flowchart of obtaining the energy consumption state index of the protocol of the drone cluster directional access protocol optimization method in some embodiments of the present application. According to the embodiment of the present invention, the energy consumption performance characteristic data of the adapted directional access protocol is obtained, and the energy consumption state index of the protocol is obtained by processing, including: S41, obtaining energy consumption performance characteristic data of the adapted directional access protocol, including communication energy consumption data, computing energy consumption data, and energy consumption extreme difference data of a single UAV; S42, processing is performed according to the communication energy consumption data, the calculation energy consumption data and the energy consumption extreme difference data of the single UAV to obtain the protocol energy consumption state index.

[0031] It should be noted that the energy consumption performance characteristic data of the adapted directional access protocol is obtained, including communication energy consumption data, computing energy consumption data and single UAV energy consumption extreme difference data, among which the communication energy consumption data refers to the energy consumed by the UAV cluster during the communication process, the computing energy consumption data refers to the energy consumption of hardware devices such as the UAV processor during the protocol execution process, and the single UAV energy consumption extreme difference data refers to the difference between the maximum energy consumption and the minimum energy consumption of a single UAV in the UAV cluster. The above data is processed to obtain the protocol energy consumption state index; The calculation formula of the protocol energy consumption state index is: ; in, is the protocol energy consumption state index, , , They are communication energy consumption data, computing energy consumption data, and single UAV energy consumption extreme difference data. , , It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset directional access protocol database).

[0032] According to an embodiment of the present invention, the performance evaluation is performed according to the protocol communication steady-state index and the protocol network efficiency index in combination with the protocol energy consumption state index to obtain a protocol performance evaluation index, and the adaptation directional access protocol is optimized accordingly according to the protocol performance evaluation index, including: According to the protocol communication steady-state index and the protocol network efficiency index, combined with the protocol energy consumption state index, a performance evaluation is performed to obtain a protocol performance evaluation index; Comparing the protocol performance evaluation index with a preset protocol performance evaluation threshold to obtain a comparison result; The operation effect of the adapted directional access protocol is judged according to the comparison result, and corresponding optimization is performed.

[0033] It should be noted that in order to conduct a more comprehensive and accurate evaluation of the operation effect and performance of the adaptive directional access protocol, the performance evaluation is performed according to the obtained protocol communication steady-state index and protocol network efficiency index, combined with the protocol energy consumption state index, to obtain the protocol performance evaluation index, and then compared with the preset protocol performance evaluation threshold to obtain the comparison result, and the operation effect of the adaptive directional access protocol is judged according to the comparison result. If the effect does not meet expectations, corresponding optimization is performed; The calculation formula of the protocol performance evaluation index is: ; in, is the protocol performance evaluation index, , , They are protocol communication steady-state index, protocol network efficiency index, and protocol energy consumption state index. , It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset directional access protocol database).

[0034] In a second aspect, the present invention further discloses a drone cluster directional access protocol optimization system, including a memory and a processor, wherein the memory includes a drone cluster directional access protocol optimization method program, and when the drone cluster directional access protocol optimization method program is executed by the processor, the following steps are implemented: Obtain application scenario information and task requirement information of a preset drone cluster, determine a protocol selection criterion, and obtain an adapted directional access protocol through a preset performance parameter database according to the protocol selection criterion; Acquire the communication performance characteristic data of the adapted directional access protocol, and process to obtain the protocol communication steady-state index; Acquire network performance characteristic data of the adapted directional access protocol, and process to obtain a protocol network efficiency index; Acquire the energy consumption performance characteristic data of the adapted directional access protocol, and process to obtain the protocol energy consumption state index; According to the protocol communication steady-state index and the protocol network efficiency index, performance evaluation is performed in combination with the protocol energy consumption state index to obtain a protocol performance evaluation index, and the adapted directional access protocol is optimized accordingly according to the protocol performance evaluation index.

[0035] It should be noted that with the rapid development of drone technology, drone clusters have been widely used in military and civilian fields. However, in large-scale drone clusters, traditional access protocols often have problems such as low communication efficiency and unstable access, which seriously affect the collaborative operation capability of drone clusters. In order to solve the above problems, the present application technology provides a method for optimizing drone cluster directional access protocols. In this embodiment, firstly, by obtaining the application scenario information and task requirement information of the preset drone cluster, and determining the protocol selection criteria, according to the protocol selection criteria, the adaptive directional access protocol is obtained through the preset performance parameter database, the communication performance characteristic data of the adaptive directional access protocol is obtained, the protocol communication steady-state index is obtained, the network performance characteristic data of the adaptive directional access protocol is obtained, the protocol network efficiency index is obtained, the energy consumption performance characteristic data of the adaptive directional access protocol is obtained, the protocol energy consumption state index is obtained, and the performance evaluation is performed according to the protocol communication steady-state index and the protocol network efficiency index, combined with the protocol energy consumption state index, to obtain the protocol performance evaluation index, and the adaptive directional access protocol is optimized accordingly according to the protocol performance evaluation index, thereby realizing the technology of optimizing drone cluster directional access protocol.

[0036] According to an embodiment of the present invention, the method of obtaining application scenario information and task requirement information of a preset drone cluster and determining a protocol selection criterion, and obtaining an adapted directional access protocol through a preset performance parameter database according to the protocol selection criterion includes: Obtain application scenario information and mission requirement information of the preset drone cluster; The mission requirement information includes performance requirement information, mission-specific requirement information, and reliability and safety requirement information; Determine the protocol selection criteria based on the application scenario information, performance requirement information, task-specific requirement information, and reliability and safety requirement information; According to the protocol selection criteria, an adapted directional access protocol is obtained through a preset performance parameter database.

[0037] It should be noted that the application scenario information and mission requirement information of the preset UAV cluster are obtained, among which the mission requirement information includes performance requirement information, mission-specific requirement information and reliability and safety requirement information. The performance requirements include flight performance, payload capacity and communication capabilities, etc. The mission-specific requirements include reconnaissance and surveillance missions, target strike missions, logistics distribution missions and environmental monitoring missions, etc., and then the selection criteria of the directional access protocol are determined based on the above information. For example, if the task has high real-time requirements, delay can be used as the primary criterion, and the protocol with lower delay in the database is given priority. Then, according to the protocol selection criteria, the adapted directional access protocol is obtained through the preset performance parameter database.

[0038] According to an embodiment of the present invention, the step of acquiring the communication performance characteristic data of the adapted directional access protocol and processing to obtain the protocol communication steady-state index includes: Acquiring communication performance characteristic data of the adapted directional access protocol, including throughput data, delay data, bit error rate data, packet loss rate data, electromagnetic interference intensity data, transmission power data, and operating frequency band data; Obtain reliability data according to the bit error rate data, packet loss rate data and electromagnetic interference intensity data; Obtaining anti-interference capability data according to the electromagnetic interference intensity data, the transmission power data and the working frequency band data; The throughput data, delay data and reliability data are processed in combination with the anti-interference capability data to obtain a protocol communication steady-state index.

[0039] It should be noted that the obtained adapted directional access protocol is monitored, and communication performance characteristic data, including throughput, delay, bit error rate, packet loss rate, electromagnetic interference intensity, transmission power and working frequency band data, are obtained. The reliability data is obtained by processing the bit error rate data, packet loss rate data and electromagnetic interference intensity data through a preset directional access protocol data processing model. The anti-interference capability data is obtained by processing the electromagnetic interference intensity data, transmission power data and working frequency band data through a preset directional access protocol data processing model. Then, the throughput data, delay data and reliability data are processed in combination with the anti-interference capability data to obtain the protocol communication steady-state index. Wherein, the calculation formula of the protocol communication steady-state index is: ; in, is the protocol communication steady-state index, , , , They are throughput data, delay data, reliability data, and anti-interference capability data. , , , It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset directional access protocol database).

[0040] According to an embodiment of the present invention, the acquiring of network performance characteristic data of the adapted directional access protocol and processing to obtain the protocol network efficiency index includes: Acquiring network performance characteristic data of the adapted directional access protocol, including network scale data, communication load data, function expansion data, node distribution data, connection dynamics data, routing efficiency data, and resource management efficiency data; Obtain scalability data according to the network scale data, communication load data and function expansion data; Obtaining network topology adaptability data based on the network scale data, node distribution data, and connection dynamics data; The protocol network efficiency index is obtained according to the routing efficiency data, resource management efficiency data and scalability data in combination with the network topology adaptability data.

[0041] It should be noted that the network performance characteristic data adapted to the directional access protocol are obtained, including network scale data, communication load data, function expansion data, node distribution data, connection dynamics data, routing efficiency data and resource management efficiency data, wherein the network scale data refers to the upper limit of the number of drones supported by the protocol, the communication load data refers to the amount of data transmission between drones, the function expansion data refers to the scalability of the protocol, and the connection dynamics data refers to the average moving speed of the nodes in the drone cluster. The scalability data is obtained by processing the network scale data, communication load data and function expansion data through a preset directional access protocol data processing model. The network topology adaptability data is obtained by processing the network scale data, node distribution data and connection dynamics data through a preset directional access protocol data processing model. Then, the routing efficiency data, resource management efficiency data and scalability data are combined with the network topology adaptability data to obtain the protocol network efficiency index. The calculation formula of the protocol network efficiency index is: ; in, is the protocol network efficiency index, , , , They are routing efficiency data, resource management efficiency data, scalability data, and network topology adaptability data. , , , It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset directional access protocol database).

[0042] According to an embodiment of the present invention, the step of acquiring the energy consumption performance characteristic data of the adapted directional access protocol and processing to obtain the protocol energy consumption state index includes: Obtaining energy consumption performance characteristic data of the adapted directional access protocol, including communication energy consumption data, computing energy consumption data, and single UAV energy consumption extreme difference data; The communication energy consumption data, the calculation energy consumption data and the extreme difference data of energy consumption of a single UAV are processed to obtain a protocol energy consumption status index.

[0043] It should be noted that the energy consumption performance characteristic data of the adapted directional access protocol is obtained, including communication energy consumption data, computing energy consumption data and single UAV energy consumption extreme difference data, among which the communication energy consumption data refers to the energy consumed by the UAV cluster during the communication process, the computing energy consumption data refers to the energy consumption of hardware devices such as the UAV processor during the protocol execution process, and the single UAV energy consumption extreme difference data refers to the difference between the maximum energy consumption and the minimum energy consumption of a single UAV in the UAV cluster. The above data is processed to obtain the protocol energy consumption state index; The calculation formula of the protocol energy consumption state index is: ; in, is the protocol energy consumption state index, , , They are communication energy consumption data, computing energy consumption data, and single UAV energy consumption extreme difference data. , , It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset directional access protocol database).

[0044] According to an embodiment of the present invention, the performance evaluation is performed according to the protocol communication steady-state index and the protocol network efficiency index in combination with the protocol energy consumption state index to obtain a protocol performance evaluation index, and the adaptation directional access protocol is optimized accordingly according to the protocol performance evaluation index, including: According to the protocol communication steady-state index and the protocol network efficiency index, combined with the protocol energy consumption state index, a performance evaluation is performed to obtain a protocol performance evaluation index; Comparing the protocol performance evaluation index with a preset protocol performance evaluation threshold to obtain a comparison result; The operation effect of the adapted directional access protocol is judged according to the comparison result, and corresponding optimization is performed.

[0045] It should be noted that in order to conduct a more comprehensive and accurate evaluation of the operation effect and performance of the adaptive directional access protocol, the performance evaluation is performed according to the obtained protocol communication steady-state index and protocol network efficiency index, combined with the protocol energy consumption state index, to obtain the protocol performance evaluation index, and then compared with the preset protocol performance evaluation threshold to obtain the comparison result, and the operation effect of the adaptive directional access protocol is judged according to the comparison result. If the effect does not meet expectations, corresponding optimization is performed; The calculation formula of the protocol performance evaluation index is: ; in, is the protocol performance evaluation index, , , They are the protocol communication steady-state index, the protocol network efficiency index, and the protocol energy consumption state index. , It is a preset characteristic coefficient (the characteristic coefficient is obtained by querying the preset directional access protocol database).

[0046] The third aspect of the present invention provides a readable storage medium, which stores a program for optimizing a method for optimizing a directional access protocol for a swarm of unmanned aerial vehicles. When the program for optimizing a directional access protocol for a swarm of unmanned aerial vehicles is executed by a processor, the steps of the method for optimizing a directional access protocol for a swarm of unmanned aerial vehicles as described in any one of the above items are implemented.

[0047] The method, system and medium for optimizing the directional access protocol of a drone cluster disclosed in the present invention obtain application scenario information and task requirement information of a preset drone cluster, determine the protocol selection criteria, obtain the adaptation directional access protocol through a preset performance parameter database according to the protocol selection criteria, obtain the communication performance characteristic data of the adaptation directional access protocol, process to obtain the protocol communication steady-state index, obtain the network performance characteristic data of the adaptation directional access protocol, process to obtain the protocol network efficiency index, obtain the energy consumption performance characteristic data of the adaptation directional access protocol, process to obtain the protocol energy consumption state index, perform performance evaluation according to the protocol communication steady-state index and the protocol network efficiency index in combination with the protocol energy consumption state index, obtain the protocol performance evaluation index, and optimize the adaptation directional access protocol accordingly according to the protocol performance evaluation index, thereby realizing the technology of optimizing the directional access protocol of the drone cluster.

[0048] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored or not executed. In addition, the coupling, direct coupling, or communication connection between the components shown or discussed can be through some interfaces, and the indirect coupling or communication connection of the devices or units can be electrical, mechanical or other forms.

[0049] The units described above as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units; they may be located in one place or distributed on multiple network units; some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0050] In addition, all functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may be separately used as a unit, or two or more units may be integrated into one unit; the above-mentioned integrated units may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0051] Those skilled in the art can understand that: all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, the aforementioned program can be stored in a readable storage medium, and when the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: mobile storage devices, read-only memories (ROM, Read-Only Memory), random access memories (RAM, Random Access Memory), disks or optical disks, and other media that can store program codes.

[0052] Alternatively, if the above-mentioned integrated unit of the present invention is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention can be essentially or partly reflected in the form of a software product that contributes to the prior art. The software product is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as mobile storage devices, ROM, RAM, magnetic disks or optical disks.

Claims

1. A method for optimizing a directional access protocol for a drone cluster, characterized in that: The following steps are involved: Obtain application scenario information and task requirement information of a preset drone cluster, determine a protocol selection criterion, and obtain an adapted directional access protocol through a preset performance parameter database according to the protocol selection criterion; Acquire the communication performance characteristic data of the adapted directional access protocol, and process to obtain the protocol communication steady-state index; Acquire network performance characteristic data of the adapted directional access protocol, and process to obtain a protocol network efficiency index; Acquire the energy consumption performance characteristic data of the adapted directional access protocol, and process to obtain the protocol energy consumption state index; According to the protocol communication steady-state index and the protocol network efficiency index, performance evaluation is performed in combination with the protocol energy consumption state index to obtain a protocol performance evaluation index, and the adapted directional access protocol is optimized accordingly according to the protocol performance evaluation index.

2. The method for optimizing the directional access protocol of a drone cluster according to claim 1, characterized in that: The obtaining of application scenario information and task requirement information of a preset drone cluster, and determining a protocol selection standard, and obtaining an adapted directional access protocol through a preset performance parameter database according to the protocol selection standard, includes: Obtain application scenario information and mission requirement information of the preset drone cluster; The mission requirement information includes performance requirement information, mission-specific requirement information, and reliability and safety requirement information; Determine the protocol selection criteria based on the application scenario information, performance requirement information, task-specific requirement information, and reliability and safety requirement information; According to the protocol selection criteria, an adapted directional access protocol is obtained through a preset performance parameter database.

3. The method for optimizing the directional access protocol of a drone cluster according to claim 2, characterized in that: The acquiring of the communication performance characteristic data of the adapted directional access protocol and processing to obtain the protocol communication steady-state index comprises: Acquiring communication performance characteristic data of the adapted directional access protocol, including throughput data, delay data, bit error rate data, packet loss rate data, electromagnetic interference intensity data, transmission power data, and operating frequency band data; Obtain reliability data according to the bit error rate data, packet loss rate data and electromagnetic interference intensity data; Obtaining anti-interference capability data according to the electromagnetic interference intensity data, the transmission power data and the working frequency band data; The throughput data, delay data and reliability data are processed in combination with the anti-interference capability data to obtain a protocol communication steady-state index.

4. The method for optimizing the directional access protocol of a drone cluster according to claim 3 is characterized in that: The acquiring of the network performance characteristic data of the adapted directional access protocol and processing to obtain the protocol network efficiency index comprises: Acquiring network performance characteristic data of the adapted directional access protocol, including network scale data, communication load data, function expansion data, node distribution data, connection dynamics data, routing efficiency data, and resource management efficiency data; Obtain scalability data according to the network scale data, communication load data and function expansion data; Obtaining network topology adaptability data based on the network scale data, node distribution data, and connection dynamics data; The protocol network efficiency index is obtained according to the routing efficiency data, resource management efficiency data and scalability data in combination with the network topology adaptability data.

5. The method for optimizing the directional access protocol of a drone cluster according to claim 4 is characterized in that: The step of acquiring the energy consumption performance characteristic data of the adapted directional access protocol and processing to obtain the protocol energy consumption state index includes: Obtaining energy consumption performance characteristic data of the adapted directional access protocol, including communication energy consumption data, computing energy consumption data, and single UAV energy consumption extreme difference data; The communication energy consumption data, the calculation energy consumption data and the extreme difference data of energy consumption of a single UAV are processed to obtain a protocol energy consumption status index.

6. The method for optimizing the directional access protocol of a drone cluster according to claim 5, characterized in that: The performing of performance evaluation according to the protocol communication steady-state index and the protocol network efficiency index in combination with the protocol energy consumption state index to obtain a protocol performance evaluation index, and optimizing the adapted directional access protocol accordingly according to the protocol performance evaluation index, includes: According to the protocol communication steady-state index and the protocol network efficiency index, combined with the protocol energy consumption state index, a performance evaluation is performed to obtain a protocol performance evaluation index; Comparing the protocol performance evaluation index with a preset protocol performance evaluation threshold to obtain a comparison result; The operation effect of the adapted directional access protocol is judged according to the comparison result, and corresponding optimization is performed.

7. A drone cluster directional access protocol optimization system, characterized in that: The system includes: a memory and a processor, wherein the memory includes a program of a method for optimizing a directional access protocol for a drone cluster, and when the program of the method for optimizing a directional access protocol for a drone cluster is executed by the processor, the following steps are implemented: Obtain application scenario information and task requirement information of a preset drone cluster, determine a protocol selection criterion, and obtain an adapted directional access protocol through a preset performance parameter database according to the protocol selection criterion; Acquire the communication performance characteristic data of the adapted directional access protocol, and process to obtain the protocol communication steady-state index; Acquire network performance characteristic data of the adapted directional access protocol, and process to obtain a protocol network efficiency index; Acquire the energy consumption performance characteristic data of the adapted directional access protocol, and process to obtain the protocol energy consumption state index; According to the protocol communication steady-state index and the protocol network efficiency index, performance evaluation is performed in combination with the protocol energy consumption state index to obtain a protocol performance evaluation index, and the adapted directional access protocol is optimized accordingly according to the protocol performance evaluation index.

8. The drone cluster directional access protocol optimization system according to claim 7 is characterized in that: The obtaining of application scenario information and task requirement information of a preset drone cluster, and determining a protocol selection standard, and obtaining an adapted directional access protocol through a preset performance parameter database according to the protocol selection standard, includes: Obtain application scenario information and mission requirement information of the preset drone cluster; The mission requirement information includes performance requirement information, mission-specific requirement information, and reliability and safety requirement information; Determine the protocol selection criteria based on the application scenario information, performance requirement information, task-specific requirement information, and reliability and safety requirement information; According to the protocol selection criteria, an adapted directional access protocol is obtained through a preset performance parameter database.

9. The UAV cluster directional access protocol optimization system according to claim 8, characterized in that: The acquiring of the communication performance characteristic data of the adapted directional access protocol and processing to obtain the protocol communication steady-state index comprises: Acquiring communication performance characteristic data of the adapted directional access protocol, including throughput data, delay data, bit error rate data, packet loss rate data, electromagnetic interference intensity data, transmission power data, and operating frequency band data; Obtain reliability data according to the bit error rate data, packet loss rate data and electromagnetic interference intensity data; Obtaining anti-interference capability data according to the electromagnetic interference intensity data, the transmission power data and the working frequency band data; The throughput data, delay data and reliability data are processed in combination with the anti-interference capability data to obtain a protocol communication steady-state index.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a drone cluster directional access protocol optimization method program. When the drone cluster directional access protocol optimization method program is executed by a processor, the steps of the drone cluster directional access protocol optimization method as described in any one of claims 1 to 6 are implemented.

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