物联网学报2024，Vol.8Issue(4)：89-97,9.DOI:10.11959/j.issn.2096-3750.2024.00444
车计算中基于侏儒猫鼬优化算法的资源共享分配方法
Resource-sharing allocation method based on dwarf mongoose optimization algorithm in vehicle computing
摘要
Abstract
In vehicle computing,the intelligent vehicle which has strong computing capability and abundant sensing de-vices provides services for users.Many sensing devices can provide services for users without the limits of time and place.Intelligent vehicles have large amount computing and sensing resources,where computing resources are used indi-vidually by users while sensing resources can be shared by multiple users.According to the characteristics of intelligent vehicles,a new resource allocation model based on resource sharing was proposed.A resource sharing allocation method based on dwarf mongoose optimization was proposed.A repairing algorithm was proposed to transform infeasible solu-tions into feasible solutions.A new solution generation algorithm based on the random and greedy strategy was proposed to address the problem of the dwarf mongoose optimization algorithm being prone to getting stuck in local optima,to im-prove the convergence speed and obtain the optimal solution.The experimental results show that the proposed strategy performs well in different allocation environments and is adaptable.关键词
车计算/侏儒猫鼬优化算法/资源共享/资源分配Key words
vehicle computing/dwarf mongoose optimization algorithm/resource sharing/resource allocation分类
信息技术与安全科学引用本文复制引用
刘曦,刘俊,吴鸿,李伟东..车计算中基于侏儒猫鼬优化算法的资源共享分配方法[J].物联网学报,2024,8(4):89-97,9.基金项目
国家自然科学基金资助项目(No.62462056)The National Natural Science Foundation of China(No.62462056) （No.62462056）
