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Distributed UAV deployment in hostile environment: a game-theoretic approach

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journal contribution
posted on 07.12.2021, 10:18 by Chen Han, Aijun Liu, Kang An, Gan ZhengGan Zheng, Xinhai Tong
As a new type of unmanned intelligent equipment, unmanned aerial vehicles (UAVs) have attracted growing attentions in various fields, such as electronic reconnaissance in jamming environments. However, the intense confrontation and high dynamics of the hostile jamming environments require a UAV swarm to achieve flexible and autonomous deployment optimization, and enhance anti-jamming capability. In this letter, a distributed UAV swarm’s deployment approach is proposed where a congestion game is formulated to model the interaction among the UAV swarm. Particularly, each UAV independently adjusts the location, and realizes the efficient, flexible and dynamic position control, thus increasing the amount of collected data and enhancing the anti-jamming performance. Moreover, the Nash equilibrium of the formulated congestion game is analyzed, and simulation results verify the effectiveness of the proposed approach.

Funding

National Postdoctoral Program for Innovative Talents (Grant Number: BX20200101)

National Key Research and Development Program of China (Grant Number: 2018YFB1801103)

National Natural Science Foundation of China (Grant Number: 61901502, 61901516 and 62071352)

Natural Science Foundation on Frontier Leading Technology Basic Research Project of Jiangsu Province (Grant Number: BK20192002)

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

IEEE Wireless Communications Letters

Publisher

IEEE

Version

AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher statement

© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Publication date

2021-10-22

Copyright date

2021

ISSN

2162-2337

eISSN

2162-2345

Language

en

Depositor

Prof Gan Zheng. Deposit date: 6 December 2021