物联网学报2024，Vol.8Issue(1)：84-97,14.DOI:10.11959/j.issn.2096-3750.2024.00382
车联网边缘计算场景下基于改进型NSGA-Ⅱ算法的边缘服务器部署决策
Edge server deployment decision based on improved NSGA-Ⅱ in the Internet of vehicles edge computing scenario
摘要
Abstract
In the context of the Internet of vehicles,the placement and deployment number of edge servers directly affect the efficiency of edge computing.Due to the high cost of deploying a large edge server on a macro base station and a base station,it can be complemented by deploying a small edge server on a micro base station,and the cost reduction needs to be optimized by optimizing the placement of large edge servers.In order to minimize the deployment cost and service de-lay of the edge server,and maximize the operator's revenue and server load balance,the edge server placement problem combined with the vehicle networking user application service was modeled as a multi-objective optimization problem and a placement scheme based on improved NSGA-Ⅱ algorithm was proposed.The experimental results show that the proposed scheme can reduce the deployment cost of edge servers by about 44%,the latency by about 14.2%,and improve the revenue of operators by 24.2%,which has good application value.关键词
车联网/边缘计算/边缘服务器部署问题/多目标优化算法/NSGA-ⅡKey words
Internet of vehicles/edge computing/edge server placement problem/multi-objective optimization algo-rithm/NSGA-Ⅱ分类
信息技术与安全科学引用本文复制引用
朱思峰,王钰,陈昊,朱海,柴争义,杨诚瑞..车联网边缘计算场景下基于改进型NSGA-Ⅱ算法的边缘服务器部署决策[J].物联网学报,2024,8(1):84-97,14.基金项目
国家自然科学基金项目(No.62172457) （No.62172457）
天津市自然科学基金重点项目(No.22JCZDJC00600) The National Natural Science Foundation of China(No.62172457),Key projects of Tianjin Natural Science Foundation(No.22JCZDJC00600) （No.22JCZDJC00600）
