吉林大学学报(工学版)2024,Vol.54Issue(1) :221-231.DOI:10.13229/j.cnki.jdxbgxb.20220193

车联网边缘场景下基于免疫算法的计算卸载优化

Computing offloading optimization scheme based on immune algorithm in edge computing scenes of internet of vehicles

朱思峰 蔡江昊 柴争义 孙恩林
吉林大学学报(工学版)2024,Vol.54Issue(1) :221-231.DOI:10.13229/j.cnki.jdxbgxb.20220193

车联网边缘场景下基于免疫算法的计算卸载优化

Computing offloading optimization scheme based on immune algorithm in edge computing scenes of internet of vehicles

朱思峰 1蔡江昊 1柴争义 2孙恩林1
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作者信息

  • 1. 天津城建大学计算机与信息工程学院,天津 300384
  • 2. 天津工业大学计算机科学与技术学院,天津 300387
  • 折叠

摘要

为了解决如何在降低车载终端计算时延的同时保证服务器的低能耗和负载均衡问题,本文首先构建了基于车对车通信的系统模型、时延模型、负载均衡模型、能耗模型和目标优化模型;然后提出了一种基于多目标免疫优化算法的计算卸载方案;最后将本文方案与多种卸载方案进行了对比实验.实验结果表明,本文方案能够有效降低用户的平均卸载时延,优化服务器之间的工作负载并有效降低能耗,且性能较各卸载方案有所提升.

Abstract

In order to solve the problem of ensuring low energy consumption and load balancing of servers while reducing the computation latency of vehicle terminals,the system model,delay model,load model,energy consumption model and objective optimization model based on vehicle-to-vehicle communication were constructed in this paper.Then,a computational offloading scheme based on multi-objective immune optimization algorithm was proposed.Finally,this scheme was compared with several offloading scheme.Simulation experiments show that the proposed scheme can effectively reduce the average offloading delay of users,optimize the workload between servers,and reduce energy consumption.The performance of the proposed scheme has been improved compared to other schemes.

关键词

车联网/边缘计算/计算卸载/车对车通信/免疫算法

Key words

internet of vehicles/edge computing/computing offloading/vehicle-to-vehicle communication/immune algorithm

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基金项目

国家自然科学基金(61972456)

天津市自然科学基金重点项目(22JCZDJC00600)

天津市研究生科研创新服务产业专项(2022SKYZ393)

出版年

2024
吉林大学学报(工学版)
吉林大学

吉林大学学报(工学版)

CSTPCD北大核心
影响因子:0.792
ISSN:1671-5497
参考文献量22
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