%0 Journal Article
%A HE Zhao-shui
%A WU Zhen-quan
%A YE Dong-dong
%A YU Rong
%A ZHOU Wen-hui
%T Edge Computing Offloading with Parked Vehicular Collaboration in Internet of Vehicles
%D 2019
%R 10.13190/j.jbupt.2018-132
%J Journal of Beijing University of Posts and Telecommunications
%P 108-113
%V 42
%N 2
%X 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.
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2018-132