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Unmanned aerial vehicle alliance network unloading model and decision calculation method

A technology of alliance network and UAV, which is applied in the field of UAV alliance network offloading model and decision-making calculation, which can solve the problems of computing resources affecting computing efficiency, UAV interference, and prolonging queuing delay, so as to improve execution efficiency, The effect of shortening the convergence time and reducing the calculation delay

Active Publication Date: 2020-11-24
ARMY ENG UNIV OF PLA
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, due to limited spectrum resources and computing resources, UAVs using the same transmission channel will cause interference, and excessive user offloading will prolong the queuing delay. UAVs need to consider their own needs and real-time communication environment, and jointly optimize the unloading ratio and information transmission. channel
In addition, it is also necessary to consider how to allocate the computing resources of the UAV leader. When receiving unloaded data from multiple members, the allocation of computing resources directly affects the computing efficiency.

Method used

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  • Unmanned aerial vehicle alliance network unloading model and decision calculation method
  • Unmanned aerial vehicle alliance network unloading model and decision calculation method
  • Unmanned aerial vehicle alliance network unloading model and decision calculation method

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Embodiment 1

[0051] The first embodiment of the present invention is specifically described as follows. The system simulation uses MATLAB language, and the parameter setting does not affect generality. Suppose the task environment is a square site of 1000m×1000m, which consists of 16 task areas. There are a total of 8 UAV alliance alliances in the network, each alliance includes a leader and several UAV members, randomly distributed in a mission area, such as image 3 Shown. There are a total of 10 available channels in the network, each channel has a bandwidth of B=5MHz, and the background noise is N 0 =-100dBm, path loss factor α=5, and the neighbor's range is limited to within 3000m. The mission data length of the drone members is evenly distributed in [20 100] MB, and the computing resources required to calculate 1bit data are evenly distributed in [100 300] cycles. The transmission power of the drone members is 0.02W, the calculation frequency is 3GHz, the ratio can be set Ω={0,0.2,0....

Embodiment 2

[0054] The second specific embodiment of the present invention is described below. The system simulation uses MATLAB software, and the parameter setting does not affect generality. There are a total of 16 UAV alliances in the network, and each alliance includes 1 leader and 5 UAV members.

[0055] The existing traditional optimal response optimization algorithm, the proposed optimization algorithm and the optimal response non-optimization method (the drone members choose not to unload or all unload) methods, each algorithm is executed 100 times, and the network delay is taken And draw the convergence curve, such as Figure 5 Shown. Compared with the traditional optimal response optimization method, the optimization method of the present invention shortens the convergence time by 75% on the premise of ensuring the validity of the result. Compared with the method that does not optimize the unloading ratio, the sum of the delays of the proposed method is significantly reduced

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Abstract

The invention discloses an unmanned aerial vehicle alliance network unloading model and a decision calculation method, and belongs to the technical field of wireless communication. An unmanned aerialvehicle alliance network for executing an emergency task is established; each alliance comprises an alliance leader and a plurality of alliance members; and the unmanned aerial vehicle members collectinformation, calculate and process the data, select a data unloading proportion and an information transmission channel, send the unloading data to the unmanned aerial vehicle leader, allocate calculation resources according to a first-coming first-serving service mode when the unmanned aerial vehicle leader receives the unloading data of the plurality of members, and return a result to the alliance members. The unmanned aerial vehicle leader obtains decision information through information interaction, and selects a plurality of unmanned aerial vehicle members with non-neighbor relations toupdate the unloading strategy. The product is complete in model, clear in physical significance and reasonable and effective in design algorithm, and can be well applied to unmanned aerial vehicle network scenes.

Description

Technical field [0001] The invention belongs to the technical field of wireless communication, and specifically relates to an unmanned aerial vehicle alliance network offloading model and a decision calculation method. Background technique [0002] The UAV Alliance Network has the advantages of flexible maneuverability, autonomous intelligence, and diverse tasks, and has been widely used in disaster handling, data collection, and target detection. However, due to the limited information processing capabilities of alliance members, the completion time of the task will be severely affected when performing urgent tasks in a complex environment. At the same time, mobile edge computing, as an emerging Internet of Things technology, can effectively reduce the computing delay and energy consumption of mobile devices by offloading mobile node data to edge servers. In the UAV Alliance, leaders with high computing performance can serve as servers to provide computing services for UAV memb...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W16/22H04W24/02H04W28/06G06F30/20
CPCH04W16/22H04W24/02H04W28/06G06F30/20Y02D30/70
Inventor 陈润丰陈瑾崔丽杨旸姚凯凌
Owner ARMY ENG UNIV OF PLA
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