Particle swarm algorithm-based heterogeneous unmanned aerial vehicle three-dimensional space deployment method and device

A particle swarm algorithm, three-dimensional space technology, applied in wireless communication, radio transmission system, electrical components and other directions, can solve the problem of not being able to judge whether there is a network link in the drone

Active Publication Date: 2021-09-14
ZHENGZHOU UNIV
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AI Technical Summary

Problems solved by technology

However, it is impossible to obtain the deployment scheme of the least number of UAVs in a group of heterogeneous UAVs only by u

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  • Particle swarm algorithm-based heterogeneous unmanned aerial vehicle three-dimensional space deployment method and device
  • Particle swarm algorithm-based heterogeneous unmanned aerial vehicle three-dimensional space deployment method and device
  • Particle swarm algorithm-based heterogeneous unmanned aerial vehicle three-dimensional space deployment method and device

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Embodiment Construction

[0020] The technical solutions of the present invention will be described in further detail below through specific implementation methods.

[0021] like figure 1 As shown, a three-dimensional space deployment method for heterogeneous UAVs based on particle swarm optimization algorithm, including the following steps:

[0022] Step 1, input the three-dimensional range of the target area, the number M of users to be served, and the two-dimensional plane position of the users to be served (x j ,y j ), j∈[1,M], the parameters of the heterogeneous UAV group and the parameters required by the network service, the parameters of the heterogeneous UAV group include the total number of UAVs N and the maximum number of simultaneous services of UAV i C i , service power Network Connectivity Power The parameters of the network service include the threshold τ of the number of users of the network service, the signal-to-noise ratio threshold SNR required by the network service g and t...

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Abstract

The invention provides a particle swarm algorithm-based heterogeneous unmanned aerial vehicle three-dimensional space deployment method and device, and the method comprises the steps: randomly initializing particles in a target region through a multi-target particle swarm algorithm, and enabling each particle to have four-dimensional parameters, including the three-dimensional space position of each unmanned aerial vehicle in a heterogeneous unmanned aerial vehicle group and the use condition of the unmanned aerial vehicle; calculating the change speed of the three-dimensional position of the unmanned aerial vehicle by using a multi-target particle swarm algorithm and updating the three-dimensional position of the unmanned aerial vehicle; based on the combination of discrete binary particle swarm optimization, calculating the variable quantity of the use condition of each unmanned aerial vehicle of each particle, and updating the use condition of each unmanned aerial vehicle; and on the basis, adding price difference and mutation operation in a genetic algorithm to prevent particle swarm optimization from falling into a local optimal solution too early. Through the combination of the multi-target particle swarm algorithm, the discrete binary particle swarm algorithm and the genetic algorithm, the problem that the deployment of the heterogeneous unmanned aerial vehicle needs to meet the network service is solved.

Description

technical field [0001] The invention relates to a space deployment method for unmanned aerial vehicles, in particular, to a three-dimensional space deployment method and equipment for heterogeneous unmanned aerial vehicles based on particle swarm algorithm. Background technique [0002] When there is no ground fixed infrastructure (base station) or the ground base station is damaged and cannot work normally, such as floods, earthquakes, wars, etc., the unmanned aerial vehicle is equipped with a small base station as an air communication platform (air base station) to quickly go to the predetermined area Provide on-demand, economical, and reliable wireless communications. In the existing deployment schemes, the problem is often transformed into a planar disk coverage problem, such as k-mean deployment, spiral deployment, core deployment, etc. These solutions often do not consider adjusting the height during deployment, and can only be used in specific scenarios and cannot be...

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Application Information

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IPC IPC(8): H04W16/18H04B7/185
CPCH04W16/18H04B7/18504
Inventor 张博宋金朋武琦赵巍赵旭辉杨锟浩
Owner ZHENGZHOU UNIV
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