TY - GEN
T1 - An energy-efficient edge offloading scheme for UAV-assisted internet of things
AU - Dai, Minghui
AU - Su, Zhou
AU - Li, Jiliang
AU - Zhou, Jian
N1 - Publisher Copyright:
©2020 IEEE
PY - 2020/11
Y1 - 2020/11
N2 - —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.
AB - —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.
KW - Bargaining game
KW - Computing offloading
KW - Internet of things (IoT)
KW - Unmanned aerial vehicles (UAVs)
UR - https://www.scopus.com/pages/publications/85102001666
U2 - 10.1109/ICDCS47774.2020.00167
DO - 10.1109/ICDCS47774.2020.00167
M3 - 会议稿件
AN - SCOPUS:85102001666
T3 - Proceedings - International Conference on Distributed Computing Systems
SP - 1293
EP - 1297
BT - Proceedings - 2020 IEEE 40th International Conference on Distributed Computing Systems, ICDCS 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 40th IEEE International Conference on Distributed Computing Systems, ICDCS 2020
Y2 - 29 November 2020 through 1 December 2020
ER -