Optimal Task Assignment With Delay Constraint for Parked Vehicle Assisted Edge Computing: A Stackelberg Game Approach

被引：35
|
作者：
Zhang, Junxing [1 ,2 ]
Huang, Xumin [1 ,2 ]
Yu, Rong [1 ,3 ]
机构：
[1] Guangdong Univ Technol, Sch Automat, Guangzhou 510006, Peoples R China
[2] Guangdong Univ Technol, Guangdong Key Lab IoT Informat Technol, Guangzhou 510006, Peoples R China
[3] Guangdong HongKong Macao Joint Lab Smart Discrete, Guangzhou 510006, Peoples R China
来源：
IEEE COMMUNICATIONS LETTERS | 2020年 / 24卷 / 03期
关键词：
Vehicular edge computing; game theory; privacy protection;
D O I：
10.1109/LCOMM.2019.2961663
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
Parked vehicle assisted edge computing is a paradigm to employ parked vehicles for processing workloads in vehicular networks. They collaborate with edge servers for joint task execution within task deadline and parking durations. We study task assignment problem with Stackelberg game, where the overall cost of a task publisher in terms of monetary cost and subjective dissatisfaction caused by un-offloaded workloads is minimized. To reach Stackelberg equilibrium, a dedicated algorithm is performed among players in a distributed manner for privacy preservation. Numerical results indicate that the cost is decreased about 25% in our scheme compared to that in existing work.
引用
收藏
页码：598 / 602
页数：5
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