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Scheduling optimization for UAV communication coverage using virtual force-based PSO model

Digital Communications and Networks 2024年第4期10卷 1103-1112页

作者： Jianguo Sun Wenshan Wang Sizhao Li Qingan Da Lei Chen College of Computer Science and Technology Harbin Engineering UniversityHarbinHeilongjiang150001China College of Engineering and Computing Georgia Southern UniversityStatesboroGA30458USA

When the ground communication base stations in the target area are severely destroyed,the deployment of Unmanned Aerial Vehicle(UAV)ad hoc networks can provide people with temporary communication ***,it is necessary to design a multi-UAVs cooperative control strategy to achieve better communication coverage and lower energy *** this paper,we propose a multi-UAVs coverage model based on Adaptive Virtual Force-directed Particle Swarm Optimization(AVF-PSO)*** particular,we first introduce the gravity model into the traditional Particle Swarm Optimization(PSO)algorithm so as to increase the probability of full ***,the energy consumption is included in the calculation of the fitness function so that maximum coverage and energy consumption can be ***,in order to reduce the communication interference between UAVs,we design an adaptive lift control strategy based on the repulsion model to reduce the repeated coverage of *** results show that the proposed coverage strategy based on gravity model outperforms the existing state-of-the-art *** example,in the target area of any size,the coverage rate and the repeated coverage rate of the proposed multi-UAVs scheduling are improved by 6.9–29.1%,and 2.0–56.1%,***,the proposed scheduling algorithm is high adaptable to diverse execution environments.©2022 Published by Elsevier Ltd.

关键词： Multi-UAVs Ad hoc network area collaborative coverage Gravity model Swarm optimization algorithm Random topology

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