Joint communication and computing resource allocation in vehicular edge computing

Jianan Sun, Qing Gu, Tao Zheng, Ping Dong and Yajuan Qin

International Journal of Distributed Sensor Networks, 2019, vol. 15, issue 3, 1550147719837859

Abstract: The emergence of computation-intensive vehicle applications poses a significant challenge to the limited computation capacity of on-board equipments. Mobile edge computing has been recognized as a promising paradigm to provide high-performance vehicle services by offloading the applications to edge servers. However, it is still a challenge to efficiently utilize the available resources of vehicle nodes. In this article, we introduce mobile edge computing technology to vehicular ad hoc network to build a vehicular edge computing system, which provides a wide range of reliable services by utilizing the computing resources of vehicles on the road. Then, we study the computation offloading decision problem in this system and propose a novel multi-objective vehicular edge computing task scheduling algorithm which jointly optimizes the allocation of communication and computing resources. Extensive performance evaluation demonstrates that the proposed algorithm can effectively shorten the task execution time and has high reliability.

Keywords: Mobile edge computing; vehicular ad hoc network; computation offloading; resource allocation; bat algorithm (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:15:y:2019:i:3:p:1550147719837859

DOI: 10.1177/1550147719837859

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