New Method of Task Offloading in Mobile Edge Computing for Vehicles Based on Simulated Annealing Mechanism

ZHANG Degan; LI Xia; ZHANG Jie; ZHANG Ting; GONG Changle

doi:10.11999/JEIT210102

Volume 44 Issue 9

Sep. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(9): 3220-3230

ZHANG Degan, LI Xia, ZHANG Jie, ZHANG Ting, GONG Changle. New Method of Task Offloading in Mobile Edge Computing for Vehicles Based on Simulated Annealing Mechanism[J]. Journal of Electronics & Information Technology, 2022, 44(9): 3220-3230. doi: 10.11999/JEIT210102

Citation:

ZHANG Degan, LI Xia, ZHANG Jie, ZHANG Ting, GONG Changle. New Method of Task Offloading in Mobile Edge Computing for Vehicles Based on Simulated Annealing Mechanism[J]. Journal of Electronics & Information Technology, 2022, 44(9): 3220-3230. doi: 10.11999/JEIT210102

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New Method of Task Offloading in Mobile Edge Computing for Vehicles Based on Simulated Annealing Mechanism

doi: 10.11999/JEIT210102

1.
Tianjin Key Laboratory of Intelligent Computing and Novel software Technology, Tianjin University of Technology, Tianjin 300384, China
2.
School of Sports Economics and Management, Tianjin University of Sport, Tianjin 301617, China
3.
School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China

Funds: The National Natural Science Foundation of China (61571328), Tianjin Major Science and Technology Special Projects (15ZXDSGX00050, 16ZXFWGX00010), Tianjin Science and Technology Support Key Projects (17YFZCGX00360), Tianjin Natural Science Foundation (18JCZDJC96800,18JCYBJC19300), Tianjin Science and Technology Innovation and 131 Talent Team (TD13-5025, 2015-23)

Received Date: 2021-01-26
Rev Recd Date: 2022-07-18

Available Online: 2022-07-25

Publish Date: 2022-09-19

Abstract

Abstract

For Internet Of Vehicles(IOV), if all the computing tasks of vehicles are placed on the cloud platform, it can not meet the real-time requirement of information processing. Considering the mobile edge computing technology and task offloading method, the computing tasks are offloaded to the server near the edge of the device. However, in a dense environment, if all the tasks are offloaded, it would also bring large pressure to the edge server. A new method for offloading mobile edge computing tasks for vehicle users based on simulated annealing mechanism is proposed in this paper. By defining the user's task to calculate the offloading utility, comprehensively considering the time consumption and energy consumption, combining with simulated annealing, the utility of system offloading is optimized according to the current road density, and the user's offloading decision is changed. The offloading is executed locally or on the edge server, so that all users in a given environment can get high-quality service with low delay. The simulation results show that the algorithm can reduce the user task computing time and energy consumption at the same time.
- Internet Of Vehicles(IOV),
- Edge computing,
- Task offloading,
- Optimal,
- Simulated annealing mechanism

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References(27)

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