北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2019, Vol. 42 ›› Issue (2): 108-113.doi: 10.13190/j.jbupt.2018-132

• 研究报告 • 上一篇    下一篇

车联网中基于停车协同的边缘计算卸载方法

吴振铨1, 叶东东1, 余荣1, 周文辉2, 何昭水1   

  1. 1. 广东工业大学 自动化学院, 广州 510006;
    2. 电子科技大学 中山学院, 广东 中山 528402
  • 收稿日期:2018-06-26 出版日期:2019-04-28 发布日期:2019-04-09
  • 通讯作者: 周文辉(1972-),男,教授,E-mail:zwhmailbox@tom.com. E-mail:zwhmailbox@tom.com
  • 作者简介:吴振铨(1985-),男,博士生.
  • 基金资助:
    国家自然科学基金项目(61422201,61370159,61503083,61203117);广东省科技计划项目(2015B010129001);广东省教育厅本科高等教育教学改革项目(粤教高函[2016]236号)

Edge Computing Offloading with Parked Vehicular Collaboration in Internet of Vehicles

WU Zhen-quan1, YE Dong-dong1, YU Rong1, ZHOU Wen-hui2, HE Zhao-shui1   

  1. 1. Faculty of Automation, Guangdong University of Technology, Guangzhou 510006, China;
    2. Zhongshan Institute, University of Electronic Science and Technology of China, Guangdong Zhongshan 528402, China
  • Received:2018-06-26 Online:2019-04-28 Published:2019-04-09

摘要: 为解决网络边缘服务器超负荷的问题,提出一个基于停车协同的边缘计算任务卸载框架.在该框架下,服务提供商利用停车场中停靠车辆的空闲计算资源扩展网络边缘服务器的计算能力,停靠车辆协同执行服务提供商卸载的计算任务,从而减少超负荷.为激励停靠车辆执行卸载的计算任务,设计一个基于契约论的激励方案,不仅能够使服务提供商的效益最大化,同时能够满足停靠车辆的效益.基于真实数据集的实验仿真结果证明所提的激励方案有效.

关键词: 车联网, 边缘计算, 停车协同, 计算卸载, 契约论

Abstract: To improve the performance of edge computing (EC) servers, an edge computing offloading framework of parked vehicular collaboration was proposed. Under this framework, the service provider uses the idle computing resources of the parked vehicles in the parking lot to expand the computing capacity of the edge server of the network, and the parked vehicles cooperate to perform the computing tasks unloaded by the service provider, thus reducing the overload. To stimulate parked vehicles to participate in computation offloading, an incentive scheme based on contract theory is designed, which can not only maximize the benefits of EC service providers, but also enhance the utilities of the parked vehicles. Experimental simulation results based on a real dataset demonstrate the effectiveness of the proposed incentive scheme.

Key words: internet of vehicles, edge computing, parked vehicular collaboration, computation offloading, contract theory

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