论文类型：
期刊论文
第一作者：
Gao, Zhenguo
通讯作者：
Gao, ZG; Chen, DJ (reprint author), Huaqiao Univ, Coll Comp Sci, Xiamen, Peoples R China.
合写作者：
Chen, Danjie,Yao, Nianmin,Lu, Zhimao,Chen, Bingcai
发表时间：
2018-01-01
发表刊物：
WIRELESS PERSONAL COMMUNICATIONS
收录刊物：
SCIE、EI、Scopus
文献类型：
J
卷号：
98
期号：
1
页面范围：
651-663
ISSN号：
0929-6212
关键字：
RSU deployment problem; Optimal profit; Genetic algorithm; VANETs
摘要：
Being the building block of network infrastructure for Vehicular Ad-hoc Networks (VANETs), Roadside Units (RSUs) can facilitate vehicle-to-vehicle communications and bridge communications between vehicles and the Internet. However, RSUs are expensive and will be in serious shortage state for a relative long time when deploying VANETs gradually. Hence, maximizing expected deployment profit with limited number of RSUs in road network systems is of great importance. In this paper, we create a novel powerful RSU Deployment Problem Model (RDPM) consisting of a road-network model and a profit model. The road-network model in RDPM supports complicated road shapes meanwhile taking into consideration of key influential factors such as lane number, popularity. Since that the optimal RSU deployment solution of a RDPM problem is hard to obtain, we proposed a genetic algorithm based method to solve it heuristically. Simulation results confirm that our proposed method outperforms the exiting typical BEH method.
是否译文：
否
