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.
引用
收藏
相关论文
共 50 条
  • [1] Mobile edge computing task distribution and offloading algorithm based on deep reinforcement learning in internet of vehicles
    Wang, Jianxi
    Wang, Liutao
    JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, 2021,
  • [2] Edge Computing Task Offloading of Internet of Vehicles Based on Improved MADDPG Algorithm
    Jin, Ziyang
    Wang, Yijun
    Lv, Jingying
    KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2024, 18 (02): : 327 - 347
  • [3] Computing offloading optimization scheme based on immune algorithm in edge computing scenes of internet of vehicles
    Zhu S.-F.
    Cai J.-H.
    Chai Z.-Y.
    Sun E.-L.
    Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 2024, 54 (01): : 221 - 231
  • [4] Improved NSGA-II algorithm-based task offloading decision in the internet of vehicles edge computing scenario
    Zhu, Sifeng
    Duan, Haowei
    Yao, Yaxing
    Chen, Hao
    Zhu, Hai
    MULTIMEDIA SYSTEMS, 2025, 31 (01)
  • [5] An Adaptive Computing Offloading and Resource Allocation Strategy for Internet of Vehicles Based on Cloud-Edge Collaboration
    Shu, Wanneng
    Yu, Haoxin
    Zhai, Cao
    Feng, Xuanxuan
    IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2024,
  • [6] Research on an Intelligent Computing Offloading Model for the Internet of Vehicles Based on Blockchain
    Qi, Jin
    Liu, Yali
    Ling, Yaochen
    Xu, Bin
    Dong, Zhenjiang
    Sun, Yanfei
    IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2022, 19 (04): : 3908 - 3918
  • [7] A Self-adaptive Feedback Handoff Algorithm Based Decision Tree for Internet of Vehicles
    Cui, Wenqing
    Xia, Weiwei
    Lan, Zhuorui
    Qian, Chao
    Yan, Feng
    Shen, Lianfeng
    AD HOC NETWORKS, ADHOCNETS 2018, 2019, 258 : 177 - 190
  • [8] Development of Analytical Offloading for Innovative Internet of Vehicles Based on Mobile Edge Computing
    Ming Zhang
    Journal of Grid Computing, 2024, 22
  • [9] Task Offloading Strategy Based on Reinforcement Learning Computing in Edge Computing Architecture of Internet of Vehicles
    Wang, Kun
    Wang, Xiaofeng
    Liu, Xuan
    Jolfaei, Alireza
    IEEE ACCESS, 2020, 8 : 173779 - 173789
  • [10] Development of Analytical Offloading for Innovative Internet of Vehicles Based on Mobile Edge Computing
    Zhang, Ming
    JOURNAL OF GRID COMPUTING, 2024, 22 (01)
12345