Review on Offloading of Vehicle Edge Computing

Authors

  • Mingwei Wang Chongqing Business Vocational College, China
  • Hualing Yi Chongqing University, China
  • Feng Jiang Chongqing Business Vocational College, China
  • Ling Lin Chongqing Chang'an Automobile Co., Ltd, China
  • Min Gao Chongqing University, China https://orcid.org/0000-0003-0127-7477

DOI:

https://doi.org/10.37965/jait.2022.0120

Keywords:

computing offloading, internet of vehicle, vehicle edge computing

Abstract

Vehicle Edge Computing (VEC) is a new technology that can extend computing and storage functions to the edge of the Internet of Things systems. For limited computing power and delay-sensitive mobile applications on the Internet of Vehicles (IoV), it is important to offload computing tasks to the end of the VEC network. Still, high mobility data security and privacy resource management and the randomness of IoV brought about new problems to the offloading of VEC. To this end, this study focuses on the offloading of computing tasks in VEC. We survey principal offloading schemes and methods in the VEC field and classify the current offloading of computing tasks into different categories. We also discuss the prospect of VEC. This survey could give a reference for researchers to find and understand the essential characteristics of VEC, which helps choose the optimal solutions for the offloading of computing tasks in VEC.

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Published

2022-08-22

How to Cite

Wang, M., Yi, H., Jiang, F., Lin, L. ., & Gao, M. (2022). Review on Offloading of Vehicle Edge Computing. Journal of Artificial Intelligence and Technology, 2(4), 132–143. https://doi.org/10.37965/jait.2022.0120

Issue

Section

Review