A Game-Theoretic Scheme for Parked Vehicle-Assisted MEC Computation Offloading

By offloading computation tasks, multi-access edge computing (MEC) supports diverse services and reduces delay and energy consumption of mobile devices (MDs). However, limited resources of edge servers may be the bottleneck for task computing in high-density scenarios. To address this challenge, by...

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Bibliographic Details
Published in:Scientific programming 2022-08, Vol.2022, p.1-14
Main Authors: Chen, Ruoyu, Fan, Yanfang, Jia, Mengxin, Yuan, Shuang
Format: Article
Language:English
Subjects:
Algorithms
Collaboration
Communication
Computation offloading
Costs
Edge computing
Efficiency
Electronic devices
Energy consumption
Game theory
Infrastructure
Mobile computing
Quality of service
Servers
Traffic congestion
Unmanned aerial vehicles
Vehicles
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Summary:By offloading computation tasks, multi-access edge computing (MEC) supports diverse services and reduces delay and energy consumption of mobile devices (MDs). However, limited resources of edge servers may be the bottleneck for task computing in high-density scenarios. To address this challenge, by leveraging the underutilized resources of parked vehicles to execute tasks, we propose a parked vehicle-assisted multi-access edge computing (PV-assisted MEC) architecture, which enables MEC servers to expand their capability flexibly. To achieve efficient offloading, we propose a PV-assisted MEC offloading scheme in a multi-MD environment. We design a game-based distributed algorithm to minimize the overhead of MDs and further reduce the burden on the MEC server. Simulation results show that compared with the common MEC system, our scheme can reduce the burden on the MEC server by 5% and the offloading overhead by 17%.
ISSN:1058-9244
1875-919X
DOI:10.1155/2022/7394689