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

Research Article

Resource Allocation Scheme Design in Power Wireless Heterogeneous Networks Considering Load Balance

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  • @INPROCEEDINGS{10.1007/978-3-030-64002-6_8,
        author={Shuiyao Chen and Di Zhai and Wei Bai and Haochen Guan and Ping Ma and Weiping Shao},
        title={Resource Allocation Scheme Design in Power Wireless Heterogeneous Networks Considering Load Balance},
        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={Heterogeneours smart grid networks Overlapped clustering Resource allocation},
        doi={10.1007/978-3-030-64002-6_8}
    }
    
  • Shuiyao Chen
    Di Zhai
    Wei Bai
    Haochen Guan
    Ping Ma
    Weiping Shao
    Year: 2020
    Resource Allocation Scheme Design in Power Wireless Heterogeneous Networks Considering Load Balance
    MONAMI
    Springer
    DOI: 10.1007/978-3-030-64002-6_8
Shuiyao Chen1, Di Zhai, Wei Bai,*, Haochen Guan, Ping Ma, Weiping Shao1
  • 1: State Grid Zhejiang Electric Power Co.
*Contact email: baiwei@geiri.sgcc.com.cn

Abstract

Recently, in heterogeneous smart grids, mobile network traffic and various power interconnection services grow in a high way. Caching the service at the edge of smart grid network is a common optimization method to reduce the heavy network traffic. In this paper, we propose a cooperative resource allocation scheme in heterogeneous smart grid networks. Firstly, the effect of computing and channel resources on the initial latency of the electric services is studied. Secondly, the model of topology and resource distribution in the network is established, with the goal of minimizing the overall network delay. Thirdly, an algorithm combining KM matching and genetic algorithm is proposed to solve the proposed problem. Finally, the simulation results show that the proposed algorithm optimizes the average delay of the smart grid service.

Keywords
Heterogeneours smart grid networks Overlapped clustering Resource allocation
Published
2020-12-22
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-64002-6_8
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