Journal
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
Volume 15, Issue 3, Pages -Publisher
SAGE PUBLICATIONS INC
DOI: 10.1177/1550147719837859
Keywords
Mobile edge computing; vehicular ad hoc network; computation offloading; resource allocation; bat algorithm
Funding
- Fundamental Research Funds for the Central Universities [2017YJS031]
- Beijing Municipal Natural Science Foundation of China [4182048]
- National Natural Science Foundation of China [61872029]
- National Basic Research Program of China (973 Program) [2013CB329101]
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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.
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