An Energy-Efficient Edge Offloading Scheme for UAV-Assisted Internet of Things

被引：8
作者：
Dai, Minghui [1 ]
Su, Zhou [1 ,2 ]
Li, Jiliang [2 ]
Zhou, Jian [3 ]
机构：
[1] Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai, Peoples R China
[2] Xi An Jiao Tong Univ, Sch Cyber Sci & Engn, Xian, Peoples R China
[3] China Mobile Chengdu Inst Res & Dev, Chengdu, Peoples R China
来源：
2020 IEEE 40TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS) | 2020年
关键词：
Internet of things (IoT); unmanned aerial vehicles (UAVs); computing offloading; bargaining game; POWER ALLOCATION; ASSIGNMENT;
D O I：
10.1109/ICDCS47774.2020.00167
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
As the ever-increasing capacities of Internet of things (IoT), unmanned aerial vehicle (UAV)-assisted IoT becomes a promising paradigm for improving network connectivity, extending the coverage of network and computing offloading. However, due to the limitation of battery lifetime and computing capacities of UAVs, the offloading scheme for UAVs presents a new challenge in IoT. Therefore, in this paper, an energy-efficient edge offloading scheme is proposed to improve the offloading efficiency of UAVs. Firstly, based on the data transmission delay of UAVs and computing delay of edge nodes, the matching scheme is designed to obtain the optimal matching between UAVs and edge nodes. Secondly, the energy-efficient offloading scheme for UAVs and edge nodes is modeled as a bargaining game. Then, the offloading strategy based on incentive algorithm is developed to improve the offloading efficiency. Finally, the simulation results demonstrate that the proposed offloading scheme can significantly promote the effectiveness of offloading compared with the conventional schemes.
引用
收藏
页码：1293 / 1297
页数：5
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