Computing Offloading Decision Based on Adaptive Estimation of Distribution Algorithm in Internet of Vehicles

被引：0
|
作者：
Yu F. [1 ]
Chen M. [1 ]
Yu B. [2 ]
机构：
[1] Shanwei Polytechnic, China
[2] Shenzhen Institute of Information Technology, China
来源：
International Journal of Cognitive Informatics and Natural Intelligence | 2022年 / 16卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Adaptive Estimation of Distribution Algorithm; Computing Offloading; Internet of Vehicle;
D O I：
10.4018/IJCINI.312250
中图分类号：
学科分类号：
摘要：
Aimed to improve the efficiency of computing offloading in internet of vehicles (IoV), a collaborative multi-task computing offloading decision mechanism with adaptive estimation of distribution algorithm for MEC-IoV was proposed in this paper. The algorithm considered the energy and time consumption as well as priority among different tasks. It presented a local search strategy and an adaptive learning rate according to the characteristics of the problem to improve the estimation of distribution algorithm. Experimental results show that compared with other offloading strategies, the proposed offloading strategy has obvious effects on the total cost optimization; the solutions quality of AEDA is 86.6% of PSO and 67.3% of GA. © 2022 IGI Global. All rights reserved.
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