74 results about "Mobile ad hoc network" patented technology

The invention discloses a high-dynamic mobile ad hoc network dynamic time slot allocation method and device, equipment and a storage medium, and belongs to the technical field of wireless communication and networks. The device is deployed between an upper-layer application module and a bottom-layer communication module of a communication node, and comprises a topology sensing module, a time frame construction module, an idle time slot distribution module, a GNSS module and an information interaction module. According to the method, neighbor nodes are determined among nodes through interaction information, and node topology change indexes and link states are calculated; the coordination node performs idle time slot allocation according to a request sent by the node in the control time slot, and dynamically adjusts a sensing period according to the current network topology change; and the node sends data in the information time slot according to the time slot allocation table, and carries out information interaction and topology perception according to the perception period. According to the method, the packet loss rate in the link unstable environment is effectively reduced, the data transmission reliability is higher, the method can adapt to link and topology dynamic changes, and the network throughput and the resource utilization rate are improved.

The invention discloses a high-dynamic mobile ad hoc network communication and sensing integrated routing method, device and equipment and a storage medium, an OFDM (Orthogonal Frequency Division Multiplexing) sensing system is adopted to actively acquire feature information of neighbor nodes, and meanwhile, neighbor features passively acquired based on communication feedback are matched and fused, so that the sensing precision and efficiency in an ad hoc network are remarkably improved. In order to reduce noise interference of a wireless communication environment and realize prediction of a future state of a network, a Kalman filter is adopted to carry out dynamic filtering and state estimation on neighbor feature information. And on the basis of the processed sensing data, the node further calculates stability and effectiveness indexes of the link, inputs the stability and effectiveness indexes into a link quality comprehensive evaluation model constructed by fuzzy logic, and finally generates predictive link quality parameters to provide priori knowledge for following routing selection. And the routing efficiency and the resource utilization are optimized through an on-demand routing normal form and a multipath routing mechanism. And meanwhile, through a node early warning mechanism and a fault pre-detection mechanism, the control overhead is remarkably reduced, and the network stability is improved.

The invention discloses a node trajectory prediction method and device for an air-sky-sea-diving unmanned cluster, and belongs to the technical field of mobile ad hoc networks, and the method comprises the steps: collecting data in real time, and carrying out the preprocessing of the data; constructing an unmanned node trajectory prediction model based on a gating circulation unit, a Transform and a width learning system, and inputting data into a gating circulation unit and Transform parallel cascade module; performing weighted fusion on module output results, and dynamically adjusting the weight by using a back propagation algorithm; and finally, the weighted fusion result and the dynamic environment index are input into a width learning system, the output of the width learning system outputs a final unmanned node trajectory prediction result through a full connection layer, and the width learning system can dynamically adjust the network width according to the data change. Based on the method provided by the invention, the gating circulation unit and the Transform are cascaded in parallel, the combination of real-time response and long-term prediction is realized, a wide learning system is introduced to quickly adapt to data distribution change through incremental expansion, and the environmental adaptability of a prediction model is improved.

The invention discloses a high-dynamic mobile ad hoc network adaptive MAC protocol switching method and device, equipment and a storage medium, and belongs to the technical field of wireless communication and networks. The device mainly comprises a topology sensing module, a pre-selection module and a consensus decision module. According to the method, nodes of a network periodically sense network topology and a network state, pre-selection is executed, and whether a current protocol is suitable for a network environment or not is judged; if a certain node is judged to be not suitable any more, the MAC protocol is selected again, after a switching timer expires, MAC protocol switching voting is requested, and other nodes in the network conduct main node selection and consensus decision making; and if voting is passed, all the nodes synchronously start to adopt a new MAC protocol. According to the method, the complexity and overhead of MAC protocol switching are effectively reduced, the method is particularly suitable for a large-scale high-dynamic mobile ad hoc network, network instability caused by frequent switching is effectively avoided, and meanwhile, the consistency and reliability of the whole network during MAC protocol switching are ensured.

The invention discloses a digital twin network resource optimization method based on a multi-target genetic algorithm, which adopts a fast genetic algorithm to solve a multi-target problem so as to cope with the fast changing resource allocation requirement of a mobile ad hoc network, adopts a matrix coding mode and uses the two-dimensional data structure. According to the method, modeling is carried out on frequency domain, space domain and energy domain problems, time domain information is taken into consideration, the conflict problem of nodes of the whole network is converted into a problem model with a subnet as a unit, the decision space of an algorithm is greatly reduced, and the single operation time of iteration is shortened. The power control and frequency point allocation problem is modeled as a network transmission capacity maximization problem, so that power optimization allocation and frequency point interference minimization are unified into a multi-objective optimization problem with relevance, and the probability of power consumption and frequency point conflict can be minimized while maximization of system communication performance and frequency point utilization efficiency can be realized.

The invention relates to the technical field of mobile ad hoc network communication in satellite-ground fusion, in particular to a mobile ad hoc network clustering networking strategy based on GWO in a satellite-ground fusion scene, and the networking strategy comprises an information collection stage, an information transmission stage, a cluster establishment stage and a cluster maintenance stage. A dual-mode communication node transmits network information to a command center through a low-orbit satellite, and performs clustering by executing a wild wolf optimization algorithm with an optimized fitness function from a global perspective; according to the method, the problems of low convergence speed and large resource consumption caused by distributed calculation in a traditional mobile ad hoc network clustering algorithm are solved, adaptive optimization is performed on the fitness function of the grey wolf optimization algorithm, the algorithm is prevented from falling into local optimum, and the efficiency and rationality of the algorithm are improved. The energy consumption of the whole network can be reduced, so that the service life of the whole network is prolonged.

The invention discloses a Doppler frequency shift-based high-precision time synchronization method, which comprises the following steps that: a common node sends a time synchronization request message to a time reference node, and when the time reference node receives the time synchronization request message, the time reference node records the time when the time synchronization request message reaches an air interface and estimates the Doppler frequency shift of the time synchronization request message; the time reference node replies a time synchronization response message, and when the common node receives the time synchronization response message replied by the time reference node, the time when the time synchronization response message reaches an air interface is recorded, and meanwhile, the Doppler frequency shift of the time synchronization response message is estimated; and the common node solves the time synchronization error between the common node and the time reference node by using the Doppler frequency shift of the time synchronization request message and the time synchronization response message and the transmission delay of the time synchronization request message and the time synchronization response message, thereby realizing time synchronization. The problem of asymmetry of message propagation paths is solved, and the time synchronization precision of the mobile ad hoc network is improved.

The embodiment of the invention discloses a humanoid robot cluster real-time control system and method based on a mobile ad hoc network. The system comprises an equipment layer which comprises an operation system and equipment of the humanoid robot; the device comprises an ad hoc network module. The edge layer comprises a server and a humanoid robot; and the platform layer is used for controlling and managing the humanoid robot in real time. The method has the advantages that under the environment that a traditional wireless cellular network cannot be accessed, data sharing of all humanoid robots in the network can be achieved, and therefore tasks of different robots are arranged according to an intelligent scheduling algorithm in combination with the current states, environment information and the like of the robots; based on an efficient communication protocol, robot states and surrounding environment factors can be quickly obtained, after tasks of the robots are arranged, different task instructions are respectively issued to different robots in the network, and the robots at different nodes in the network can respond to the instructions in real time, so that real-time control of the system is realized.

The invention discloses a data transmission method based on neighbor domain broadcast. The method comprises the following steps: acquiring network topology structure information and routing table information; acquiring source node information, to-be-sent data and destination node information; performing neighborhood analysis processing on the source node information and the network topology structure information to obtain a source node neighborhood node set; and according to the network topology structure information, the routing table information and the source node neighborhood node set, performing neighborhood broadcast transmission processing on the source node information, the to-be-sent data and the destination node information to complete the data transmission process of the to-be-sent data. According to the method, neighbor domain broadcast and unicast are combined, transmission of network data is completed, the adaptability of the mobile ad hoc network to node movement is improved, and the method can be used for solving the problem of supporting node mobility by centerless wireless networks such as a wireless mobile ad hoc network and a sensor network.

The application discloses a modulation and coding adaptive selection method for a mobile ad hoc network based on separation of a control plane and a data plane. In the mobile ad hoc network based on separation of the control plane and the data plane, a carrier sense multiple access (CSMA) mechanism is adopted in a control time slot to compete for sending fused situation information of itself, so as to complete survey and perception of neighbor nodes. The situation information includes link transmission quality and node queue length. In the data plane, the CSMA mechanism is also adopted, but the situation information of the control plane needs to be utilized to form certain 'network order', so as to reduce the decline of throughput caused by error packets and collision. On the basis of a traditional rate adaptive algorithm based on a signal-to-noise ratio (SNR), the algorithm is improved and applied to a mobile ad hoc network device based on separation of the control plane and the data plane.

The invention discloses a streaming media sending and repairing method, device and equipment of a mobile ad hoc network and a storage medium, relates to the technical field of streaming media transmission, and discloses the streaming media sending and repairing method of the mobile ad hoc network, which comprises the following steps: sensing network situation information according to node information, and constructing a node routing table according to the network situation information; determining an intermediate node hop by hop according to the request node information, the destination node information and a node routing table, and establishing a link according to the destination node and the intermediate node to obtain an initial service routing link; according to the request node information, the streaming media service data and the initial service routing link, streaming media service hop-by-hop forwarding is carried out; and when it is detected that the service routing link is disconnected, establishing a repair link according to the maintenance initiation node information, the maintenance destination node information, the initial service routing link and the node routing table. The stable transmission of the streaming media service and the rapid repair of the link in the mobile ad hoc network are realized.

The invention discloses a mobile ad hoc network route planning method and device based on LSTM node trajectory prediction, and the method comprises the steps: S1, adding mobile data containing the speed and position of a node into a Hello message, and periodically broadcasting the Hello message by each node in a mobile ad hoc network; s2, obtaining discrete mobile data of each node in the mobile ad hoc network through a Hello message, preprocessing the discrete mobile data, predicting the position of each node after a certain time period by using a trained LSTM model, and further obtaining position area data of a hop neighbor node of a local node within a certain time period; s3, based on the position prediction data of each node, a local node performs multi-point relay MPR selection in a one-hop neighbor node set by adopting a greedy algorithm; according to the method, while the balanced routing overhead is ensured, the data packet delivery rate is effectively improved, the average end-to-end delay is reduced, and the reliability requirement of the ad hoc network in the dynamic environment is met.

The application relates to a kind of approximate MDS construction method based on local information in mobile ad hoc network, the whole network node domination set is cut, algorithm is carried out in multiple rounds, each round is divided into four stages: neighbor information perception stage, tentative cutting stage, domination stage and dominated stage;Each node has a serial number to indicate its own ID, and maintains a local variable s to indicate the current state of node;Approximate MDS is constructed using the method disclosed in the application, and MCDS is constructed on this basis, so that the nodes in MCDS act as a virtual backbone network, which can provide routing for nodes when a segment of link in the shortest path fails or a node cannot calculate the shortest path due to network topology not converging.In actual application scenarios, the algorithm disclosed in the application can reduce the occurrence of un-dominated nodes and improve fault tolerance.

Procedures, methods, architectures, apparatuses, systems, devices, and computer program products user equipment (UE)-to-UE relay discovery in a mobile ad hoc network (MANET) are described. One method may include a WTRU-to WTRU relay joining a mobile ad hoc network based on a configured relay service code (RSC), receiving a first relay solicitation message from a first WTRU to discover a second WTRU, sending a second relay solicitation message to one or more WTRUs in proximity of the WTRU-to-WTRU relay, sending, to other WTRU-to-WTRU relays that are within one hop of the WTRU-to-WTRU relay, information associated with the first relay solicitation message, receiving a first relay response message from the second WTRU, and sending a second relay response message to the first WTRU.

A node of a network communicating via mobile ad hoc network (MANET) waveforms and incorporating internet protocol (IP) security (IPSec) measures includes a plaintext (PT) user system or host, ciphertext (CT) communications module including a radio system for transmission and reception via MANET waveforms, IPSec cryptographic units, and PT and CT convergence modules. IPSec units provide encryption and decryption of data traffic as well as cross-layer exchange between PT and CT convergence modules. PT convergence modules map output traffic and decrypted input traffic to CT capabilities and exchange reachability information (e.g., addresses of reachable nodes or systems) with counterpart PT convergence modules of peer nodes of the MANET. CT convergence modules converge encrypted input and output traffic based on CT capabilities.

A node of a network communicating via mobile ad hoc network (MANET) waveforms and incorporating internet protocol (IP) security (IPSec) measures includes a plaintext (PT) user system or host, ciphertext (CT) communications module including a radio system for transmission and reception via MANET waveforms, IPSec cryptographic units, and PT and CT convergence modules. IPSec units provide encryption and decryption of data traffic as well as cross-layer exchange between PT and CT convergence modules. PT convergence modules map output traffic and decrypted input traffic to CT capabilities and exchange reachability information (e.g., addresses of reachable nodes or systems) with counterpart PT convergence modules of peer nodes of the MANET. CT convergence modules converge encrypted input and output traffic based on CT capabilities.

The embodiment of the invention discloses a communication method between upper computers of a mobile ad hoc network. The method comprises the following steps: respectively creating a node routing table for each node in the mobile ad hoc network; respectively creating an upper computer routing table for each node through an ARP (Address Resolution Protocol) process; and when the nodes in the mobile ad hoc network receive the service data of the source upper computer, determining a communication route according to the locally created node routing table and the upper computer routing table, and transmitting the service data to the target upper computer according to the determined communication route. A node routing table and an upper computer routing table are created for each node in advance, the node obtains a destination node according to the upper computer routing table after receiving upper-layer service data and queries one-hop routing information of the destination node according to the node routing table so as to perform service communication between upper computers, an ARP packet does not need to be sent frequently when routing changes, and the service communication efficiency is improved. The network throughput can be improved by updating the routing information in the node routing table in time, and occupation of more air interface resources caused by increase of the number of upper computers is avoided.

The invention relates to a tunnel unmanned aerial vehicle cluster mobile ad hoc network and navigation method and system in a closed space. Determining the number of unmanned aerial vehicles most suitable for covering the current ground user group and the target position of each unmanned aerial vehicle by adopting a clustering algorithm based on error sum of squares and contour coefficient value optimization so as to realize an unmanned aerial vehicle cluster mobile ad hoc network; and a dynamic adaptive potential field algorithm based on multi-agent reinforcement learning is adopted to plan an air route for each unmanned aerial vehicle to arrive at the corresponding target position. According to the method, the coverage range and the service quality of the unmanned aerial vehicle system are effectively improved, and efficient path planning is realized in a dynamic and complex environment.

A communications node of a mobile ad hoc network (MANET) or like multi-node network may receive a preamble and / or header portion associated with a resource allocation message (e.g., as opposed to the full message) transmitted by another network node in motion relative to the receiving node. The receiving node determines a receiver-side Doppler nulling direction (e.g., for offsetting Doppler shift associated with the motion of the transmitting node relative to the receiving node) by adjusting a receiving frequency of the preamble and / or header portion through one or more nulling frequencies, each nulling frequency associated with a nulling direction for offsetting Doppler shift due to relative motion in that direction. Based on the determination of a receiver-side Doppler nulling frequency, the receiving node can determine a velocity and direction of the relative motion between the receiving and transmitting nodes.

The invention discloses a tunnel emergency rescue structure detection method based on an unmanned aerial vehicle group. The method comprises the following steps that a detection unmanned aerial vehicle is controlled to enter a dangerous case tunnel and fly along a planned path; controlling the communication unmanned aerial vehicles to enter the dangerous case tunnel, and dynamically adjusting the position of each communication unmanned aerial vehicle to construct and maintain a dynamic mobile ad hoc network communication link; processing the acquired data through a micro data processor carried by the detection unmanned aerial vehicle to identify and mark abnormal area data as effective data; the detection unmanned aerial vehicle transmits effective data to a ground control station in real time through a mobile ad hoc network communication link; the ground control station analyzes the received data, constructs a tunnel structure model, evaluates a dangerous case and generates an emergency scheme; and recovering the unmanned aerial vehicle group, and synchronizing the total original data stored in the local detection unmanned aerial vehicle to a ground control station. The method has the advantages that the communication reliability and adaptability are improved; the detection precision and efficiency are improved; and the decision response speed is improved.

The invention discloses a method and system for establishing and maintaining a backbone subnet in a mobile ad hoc network, and the method comprises the steps: dividing nodes in a network into different node types according to a current state, and enabling the node types to comprise an assigned node, an isolated node, a common node and a backbone node; the backbone node periodically broadcasts the beacon, and the surrounding nodes of the backbone node perform node conversion according to the received backbone node beacon; if the isolated node receives the beacon of the backbone node, the isolated node becomes a common node; if the backbone node beacon is not received within the preset time, the isolated node is changed into a backbone node after timeout; if the common nodes receive the backbone node beacons, the common nodes become backbone nodes based on self-election according to the backbone node beacons; and the backbone node judges whether redundancy exists or not according to the received beacons of other backbone nodes, and if yes, the backbone node is changed into a common node based on self-cutting. According to the invention, the network overhead is reduced, and efficient networking and transmission are realized.

The present invention discloses a fire scene auxiliary decision support system based on a mobile ad hoc network, specifically relating to the technical field of fire decision-making. It includes constructing a mobile ad hoc network based on the fire according to the fire occurrence area, determining fixed nodes, mobile nodes and alternative nodes, determining the danger and influence of alternative nodes through graph analysis, performing uncertainty entropy value analysis on fire information data, collecting node importance data of alternative nodes, determining the delay time of fire spread through autocorrelation analysis of the temperature and time at the lost node, comparing it with the time from the alternative node to the lost node, collecting node timeliness data of alternative nodes, comprehensively evaluating the node importance data and node timeliness data, and quantifying the priority of each alternative node. The present invention helps to quickly select the most suitable node for intervention and monitoring and can adapt to fire scenes of different scales and complexities.

The present invention relates to a complex scene target autonomous search method based on a mother-and-child drone, comprising: after the mother drone receives the search task, it determines whether it can complete the search alone, if not, it analyzes the number of child drones required for the target search and specifies the child drone separation rule; after the selected child drone receives the corresponding search task, it separates from the mother drone, and the child drone performs the target search alone or in collaboration with the mother drone; during the target search process, the child drone maintains communication with the mother drone through a formulated multi-machine mobile ad hoc network mechanism; when the child drone performs the target search alone or in collaboration with the mother drone, a Voronoi diagram is used to divide the search area into areas consistent with the number of drones, and then a particle swarm algorithm is used to update the movement speed and position of each drone. Compared with the prior art, the present invention realizes the target search of the mother-and-child drone in complex scenes, and can also be used for tasks such as multi-target tracking to improve the search efficiency.

The invention provides a distributed TDMA (Time Division Multiple Access) time slot allocation method based on multi-agent reinforcement learning, which mainly solves the problem of poor performance of a mobile ad hoc network caused by no time slot allocation of nodes under a high-load condition in the prior art, and the scheme comprises the following steps: 1) constructing a mobile ad hoc network scene; 2) determining a frame structure of the TDMA according to a network scene; 3) establishing a mobile ad hoc network simulation platform by using the network scene and the frame structure, and obtaining a performance index; 4) enabling each node to correspond to one agent, and constructing a reinforcement learning module; 5) training the MADDPG model by using a simulation platform and a reinforcement learning module to obtain a parameter file; and 6) loading the trained parameters, and realizing time slot prediction by using the model. According to the method, multi-agent reinforcement learning is introduced, and a priority experience playback and exploration mechanism is combined, so that the time slot allocation efficiency is effectively improved, the throughput of the system is improved, and the overall performance of the mobile ad hoc network is enhanced.

This application discloses a high-precision time synchronization method based on Doppler frequency shift, comprising: a regular node sending a time synchronization request message to a time reference node; upon receiving the time synchronization request message, the time reference node recording the arrival time of the time synchronization request message at the air interface and estimating the Doppler frequency shift of the time synchronization request message; the time reference node replying with a time synchronization response message; upon receiving the time synchronization response message from the time reference node, the regular node recording the arrival time of the time synchronization response message at the air interface and estimating the Doppler frequency shift of the time synchronization response message; the regular node using the Doppler frequency shifts of the time synchronization request message and the time synchronization response message, as well as the transmission delays of the time synchronization request message and the time synchronization response message, to calculate the time synchronization error between the regular node and the time reference node, thereby achieving time synchronization. This solves the problem of message propagation path asymmetry and improves the time synchronization accuracy of mobile ad hoc networks.

The application provides a non-closed loop fast networking method for a WiFi mobile self-organizing network, which comprises the following steps: firstly, converting the Mac addresses of the APs of two nodes into Long Long type numbers and then comparing the numbers, the node with the smaller number serving as a parent node and the other node serving as a child node; then, connecting the nodes by using an ESP-Now communication protocol, and transmitting application data in a VSA data frame between the devices; before accessing the parent node, the child node disconnected from the network firstly determines whether the child node can access the parent node according to the number of existing child nodes in the VSA frame body field of the parent node; if the number of child nodes of the parent node is full, the child node needs to search other parent nodes with an unfull number of child nodes for access. The method avoids the situation that the child node repeatedly accesses a parent node with a full number of child nodes, thereby improving the networking speed. The networking strategy designed by the application can effectively avoid the appearance of a local ring network topology, avoid the phenomenon of flooding messages, the consumption of network bandwidth and the waste of unnecessary device computing resources.

The application discloses a novel time slot allocation method for block relay network, and belongs to the field of mobile ad hoc network. The application sets the reply confirmation time slot related to the data sending time slot for the reply confirmation message, and re-plans the time sequence of the whole network. In the block relay network adopting the TDMA scheme with N time slot space multiplexing, the request message and the data packet are sent from the source node, and are diffused outward hop by hop and time slot by time slot until reaching the destination node or naturally disappearing. The reply confirmation message is sent from the destination node, and is propagated to the source node hop by hop. However, since it is a reverse link, there are idle time slots in the propagation process, which is manifested as that all the nodes in the network "stop" for the transmission of effective information in some time slots. The application optimizes the transmission time sequence of the reply confirmation message, and designs a new sending time slot for the packet marked as the reply confirmation message, so that a forward path for the transmission hop by hop and time slot by time slot is simulated under the condition of not violating the basic premise of the TDMA protocol, and the utilization rate of resources is improved.

The present invention relates to the field of wireless communications technology and discloses a method, device, system, and storage medium for orchestrating a service function chain in a mobile ad hoc network. The method comprises: obtaining an orchestration request and a starting node; wherein the orchestration request includes multiple entities; inserting the starting node into the header of the orchestration request to obtain a pre-processed orchestration request; and dividing the pre-processed orchestration request into multiple node-entity anchor pairs; capturing the topological dynamics in the mobile ad hoc network based on a time-constrained recursive topology discovery protocol; constructing a mesh forest graph using the topological dynamics; and, based on the mesh forest graph, determining the optimal segment corresponding to each node-entity anchor pair with the goal of minimizing the sum of communication cost and performance cost, and connecting the optimal segments to obtain an optimal service function chain. The present invention can be used for orchestrating the functions of functionally heterogeneous mobile ad hoc nodes in environments without infrastructure (e.g., outdoor areas without base stations).

The invention discloses a mobile multi-hop ad hoc network, a networking method and a transmission method, which adopt an MAC (Media Access Control) address as a unique identifier of a node and avoid complex IP (Internet Protocol) address configuration and distribution. Secondly, the networking method provided by the invention realizes decentralization of the mobile ad hoc network, when individual nodes fail, multi-hop transmission can still be carried out, the whole network has better survivability, and the on-demand routing mode avoids extra energy consumption caused by periodic routing and is suitable for embedded equipment. Besides, a multi-path transmission mechanism is adopted in the transmission method, when a local path fails, a standby path can still be used, and the reliability of data transmission is improved.

MANET nodes have a transceiver, operative in a first plurality of frequencies, having a transmitter that selects at least one frequency for transmission and a receiver that simultaneously receives signals in a second plurality of frequencies selected from the first plurality of frequencies. A resource allocation table is generated and has time-slots and frequencies to be allocated amongst the nodes. Data is maintained in the resource allocation table that is representative of session plans, where each session plan corresponds to a message to be propagated through the MANET from a source node to a destination node. Each session plan includes time-slot and frequency allocations associated with the source node. At each time-slot, each node of one or more nodes decides which one or more messages to broadcast during the time-slot on one or more frequencies selected from the first plurality of frequencies.