Litcius/Paper detail

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

Junhai Luo, Zhiyan Wang, Ming Xia, Linyong Wu, Yuxin Tian, Yu Chen

2022ACM Computing Surveys60 citationsDOI

Abstract

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.

Topics & Concepts

Computer scienceMotion planningSoftware deploymentPath (computing)Any-angle path planningDistributed computingField (mathematics)Network planning and designOperations researchComputer networkArtificial intelligenceRobotEngineeringSoftware engineeringPure mathematicsMathematicsUAV Applications and OptimizationAdvanced Wireless Communication TechnologiesVideo Surveillance and Tracking Methods