《信息与电子工程前沿（英文）》
>> 2020年
第21卷
第12期
doi:
10.1631/FITEE.2000315
Energy-efficient trajectory planning for a multi-UAV-assisted mobile edge computing system
Affiliation(s): School of Automation, Central South University, Changsha 410083, China; Department of Computer and Information Sciences, Northumbria University, Newcastle NE1 8ST, UK; less
收稿日期：
2020-07-02
录用日期：
2020-12-10
发布日期：
2020-12-10
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摘要
We study a system assisted by (UAVs), where the UAVs act as edge servers to provide computing services for Internet of Things devices. Our goal is to minimize the energy consumption of this system by planning the trajectories of UAVs. This problem is difficult to address because when planning the trajectories, we need to consider not only the order of stop points (SPs), but also their deployment (including the number and locations) and the association between UAVs and SPs. To tackle this problem, we present an energy-efficient algorithm (TPA) which comprises three phases. In the first phase, a algorithm with a variable population size is adopted to update the number and locations of SPs at the same time. In the second phase, the
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