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Mobile Networks and Management. 10th EAI International Conference, MONAMI 2020, Chiba, Japan, November 10–12, 2020, Proceedings

Research Article

Delay and Energy Aware Computation Task Offloading Strategy in Power Wireless Heterogeneous Networks

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  • @INPROCEEDINGS{10.1007/978-3-030-64002-6_7,
        author={Wei Bai and Yang Lu and Donglei Zhang and Jawei Li and Ping Ma and Shuiyao Chen and WeiPing Shao},
        title={Delay and Energy Aware Computation Task Offloading Strategy in Power Wireless Heterogeneous Networks},
        proceedings={Mobile Networks and Management. 10th EAI International Conference, MONAMI 2020, Chiba, Japan, November 10--12, 2020, Proceedings},
        proceedings_a={MONAMI},
        year={2020},
        month={12},
        keywords={Mobile edge computing Stackelberg game Computation offloading Multi-access network},
        doi={10.1007/978-3-030-64002-6_7}
    }
    
  • Wei Bai
    Yang Lu
    Donglei Zhang
    Jawei Li
    Ping Ma
    Shuiyao Chen
    WeiPing Shao
    Year: 2020
    Delay and Energy Aware Computation Task Offloading Strategy in Power Wireless Heterogeneous Networks
    MONAMI
    Springer
    DOI: 10.1007/978-3-030-64002-6_7
Wei Bai,*, Yang Lu, Donglei Zhang, Jawei Li, Ping Ma, Shuiyao Chen1, WeiPing Shao1
  • 1: State Grid Zhejiang Electric Power Co.
*Contact email: baiwei@geiri.sgcc.com.cn

Abstract

Mobile Edge Computing (MEC) is regarded as a promising technology that migrates cloud computing platforms with computing and storage capabilities to the edge of the wireless access network, enabling rich applications and services in close proximity to the mobile users (MUs). There are a lot of literatures that have studied computation offloading. Different from them, this paper performs a novel research on multi-level computation offloading taking account into the heterogeneity of computation tasks and computation resource backup pool, and introducing opportunistic networks in multi-access networks simultaneously. Firstly, we describe the computation offloading model. Then, we formulate the multi-level computation offloading problem as a Stackelberg game and demonstrate the existence of the game Nash equilibrium. In order to solve above problem, we design a global optimal algorithm based on game theory. Finally, the performance of the proposed algorithm is verified by comparing with other algorithms. Simulation results corroborate that the algorithm can not only decrease the energy consumption, but also is stable.

Keywords
Mobile edge computing Stackelberg game Computation offloading Multi-access network
Published
2020-12-22
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-64002-6_7
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