Abstract
Due to the mobility of the vehicle, the communication link between the vehicle and the edge server changes dynamically in the vehicle edge computing, leading to the increase of task completion time, transmission energy consumption, and execution cost. In order to solve the problem, this paper studies the computational handover strategy in the vehicle edge computing environment. Considering the three indicators of completion time, transmission energy consumption, and execution cost, two handover strategies based on greedy weighted of simple additivity (SAW) algorithm and greedy expectation–maximization (EM) algorithm are proposed. The experimental results show that the two handoff strategies proposed in this paper can shorten the task completion time, reduce the energy consumption of vehicle transmission, and reduce the task execution cost.
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Acknowledgements
This paper is funded by the National Natural Science Foundation of China (61803113), the Natural Science Foundation of China (61572146, U1501252), the Guangxi Natural Science Foundation (2018GXNSFAA138036), the Guangxi Natural Science Foundation (2016GXNSFAA380056), the Cooperative Education Program of Ministry of Education (201702117006), the Guangxi Key Laboratory of Trusted Software (kx201713), the Guangxi Science and Technology Base and Talent Special Project (GuikeAD18281015), the China Postdoctoral Science Foundation (2019M653313), and the scientific research fund project of Guilin University of Electronic Technology (UF17005Y).
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Zhao, H., Zheng, L., Li, W., Zhou, D., Li, W. (2021). Research on Handover Strategy Based on Greedy Algorithm in Vehicle Edge Computing. In: Kountchev, R., Mahanti, A., Chong, S., Patnaik, S., Favorskaya, M. (eds) Advances in Wireless Communications and Applications. Smart Innovation, Systems and Technologies, vol 190. Springer, Singapore. https://doi.org/10.1007/978-981-15-5697-5_7
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DOI: https://doi.org/10.1007/978-981-15-5697-5_7
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