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Collaborative Computing: Networking, Applications and Worksharing. 18th EAI International Conference, CollaborateCom 2022, Hangzhou, China, October 15-16, 2022, Proceedings, Part I

Research Article

An Energy-Saving Strategy for 5G Base Stations in Vehicular Edge Computing

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-24383-7_17,
        author={Fei Zhao and Lei Shi and Yi Shi and Shuangliang Zhao and Zengwei Lv},
        title={An Energy-Saving Strategy for 5G Base Stations in Vehicular Edge Computing},
        proceedings={Collaborative Computing: Networking, Applications and Worksharing. 18th EAI International Conference, CollaborateCom 2022, Hangzhou, China, October 15-16, 2022, Proceedings, Part I},
        proceedings_a={COLLABORATECOM},
        year={2023},
        month={1},
        keywords={5G Energy saving Vehicular edge computing Task offloading Internet of vehicles},
        doi={10.1007/978-3-031-24383-7_17}
    }
    
  • Fei Zhao
    Lei Shi
    Yi Shi
    Shuangliang Zhao
    Zengwei Lv
    Year: 2023
    An Energy-Saving Strategy for 5G Base Stations in Vehicular Edge Computing
    COLLABORATECOM
    Springer
    DOI: 10.1007/978-3-031-24383-7_17
Fei Zhao1, Lei Shi1,*, Yi Shi2, Shuangliang Zhao1, Zengwei Lv1
  • 1: The School of Computer Science and Information Engineering, Hefei University of Technology
  • 2: Department of ECE, The Virginia Tech, Blacksburg
*Contact email: shilei@hfut.edu.cn

Abstract

With the rapid development of the Internet of Vehicles (IoV), various types of compute-intensive vehicle applications are emerging and present significant challenges to resource-constrained vehicles. Emerging vehicular edge computing (VEC) can alleviate this situation by offloading computational tasks from vehicles to base stations (BSs) with edge servers at the roadside. And the excellent transmission performance of 5G provides more reliable support for VEC. However, due to the drawbacks of small coverage area and high energy cost of 5G BSs, long-term usage will result in huge costly resource investment. In this paper, we design a new 4G–5G hybrid task offloading framework for the VEC scenario. We consider switching some of the 5G BSs to sleep state during low traffic and low data consumption conditions, while letting the 4G BS process the tasks generated in these areas. We first build the mathematical model and find that it cannot be solved directly. Then we design the algorithm for the offline case and the online case, respectively. Simulation results show that our scheme significantly reduces the energy cost while ensuring high task success rate.

Keywords
5G Energy saving Vehicular edge computing Task offloading Internet of vehicles
Published
2023-01-25
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-24383-7_17
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