Intelligent UAV Charging Station Deployment and Path Planning in Smart City

Xiaoyi Zhou, Na Tian, Hongzhi Guo, Jiajia Liu

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

With the proliferation of Internet of Things (IoT) devices, computation-intensive and delay-sensitive applications are prevalent in people's daily work and life. Unmanned aerial vehicles (UAVs) can compensate for the mobility and flexibility shortcomings of traditional base stations (BSs) and remote clouds, and provide services for the above applications in the case of limited or no coverage of infrastructure. However, the limited size and load capacity of UAVs determine that they only have limited battery capacity, which makes them unable to fly for long periods of time. The availability of UAV edge services and the UAV flight safety are difficult to guarantee. Motivated by this, it is significant to discuss the problem of UAV charging station (CS) deployment and path planning in smart city. In this paper, we first study the UAV CS deployment problem, which not only finds the actual locations of the UAV CSs but also minimizes the number of CSs. Then, we model the UAV path planning problem as a traveling salesman problem to determine the shortest path, and an improved ant colony optimization (ACO) algorithm is proposed as our solution. Finally, the experimental results verify that our scheme performs well in both timeliness and availability.

源语言英语
主期刊名2023 IEEE 23rd International Conference on Communication Technology
主期刊副标题Advanced Communication and Internet of Things, ICCT 2023
出版商Institute of Electrical and Electronics Engineers Inc.
1253-1258
页数6
ISBN(电子版)9798350325959
DOI
出版状态已出版 - 2023
活动23rd IEEE International Conference on Communication Technology, ICCT 2023 - Wuxi, 中国
期限: 20 10月 202322 10月 2023

出版系列

姓名International Conference on Communication Technology Proceedings, ICCT
ISSN(印刷版)2576-7844
ISSN(电子版)2576-7828

会议

会议23rd IEEE International Conference on Communication Technology, ICCT 2023
国家/地区中国
Wuxi
时期20/10/2322/10/23

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