Reliable Vehicle Selection Algorithm with Dynamic Mobility of Vehicle in Vehicular Cloud System

被引：0
|
作者：
Choo, Sukjin [1 ]
Jang, Insun [1 ]
Koo, Jungwoo [1 ]
Kim, Joonwoo [1 ]
Pack, Sangheon [1 ]
机构：
[1] Korea Univ, Sch Elect & Engn, Seoul, South Korea
来源：
2017 19TH ASIA-PACIFIC NETWORK OPERATIONS AND MANAGEMENT SYMPOSIUM (APNOMS 2017): MANAGING A WORLD OF THINGS | 2017年
基金：
新加坡国家研究基金会;
关键词：
Vehicular cloud (VC); vehicles selection; mixed integer nonlinear programming (MINLP);
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Vehicular cloud (VC) is an emerging technology where multiple vehicles form a cloud to share their abundant resources and carry out a heavy job in a cooperative manner. By using VC, each vehicle can perform various VC applications requiring heavy resources. In this regards, it is not a trivial issue to choose appropriate vehicles to complete the given task according to vehicular mobility and each VC service type. In this paper, we suggest a reliable vehicle selection algorithm (RVSA) to minimize the cost of completing the requested task for solving mixed integer nonlinear programming (MINLP) vehicle selection problem. Evaluation result demonstrates that RVSA can achieve to reduce significantly the task completion cost over a wide range of vehicular mobility compared with other conventional algorithms.
引用
收藏
页码：319 / 321
页数：3
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