Path Planning for UAV Communication Networks: Related Technologies, Solutions, and Opportunities

Path planning has been a hot and challenging field in unmanned aerial vehicles (UAV). With the increasing demand of society and the continuous progress of technologies, UAV communication networks (UAVCN) are also flourishing. The mobility of UAV nodes allows for flexible network deployment, but some...

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Veröffentlicht in:ACM computing surveys 2023-09, Vol.55 (9), p.1-37, Article 193
Hauptverfasser: Luo, Junhai, Wang, Zhiyan, Xia, Ming, Wu, Linyong, Tian, Yuxin, Chen, Yu
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creator Luo, Junhai
Wang, Zhiyan
Xia, Ming
Wu, Linyong
Tian, Yuxin
Chen, Yu
description Path planning has been a hot and challenging field in unmanned aerial vehicles (UAV). With the increasing demand of society and the continuous progress of technologies, UAV communication networks (UAVCN) are also flourishing. The mobility of UAV nodes allows for flexible network deployment, but some challenges are brought, such as power constraints, throughput, cost, and time efficiency. Therefore, path planning is significant for UAVCN. This article presents a review of UAVCN path planning. We first introduce the network structure and performance evaluation of UAVCN. We then investigate the generic UAV path planning algorithms and the path planning algorithms in UAVCN. In this article, the advantages and disadvantages of each path planning algorithm and the functional problems. The challenges faced in path planning for UAVCN, the solutions, state-of-the-art, and representative results are also presented. In addition, we illustrate future research directions for UAVCN path planning as well, which can provide some help to researchers.
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subjects Algorithms
Communication networks
Communications networks
Computer science
Computer systems organization
Computing methodologies
Dependable and fault-tolerant systems and networks
Path planning
Performance evaluation
Unmanned aerial vehicles
title Path Planning for UAV Communication Networks: Related Technologies, Solutions, and Opportunities
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