Genetic Algorithm Based QoS Perception Routing Protocol for VANETs

被引：21
|
作者：
Zhang, Guoan [1 ]
Wu, Min [1 ]
Duan, Wei [1 ]
Huang, Xinming [1 ,2 ]
机构：
[1] Nantong Univ, Sch Elect & Informat, Nantong 226019, Peoples R China
[2] Worcester Polytech Inst, Dept Elect & Comp Engn, Worcester, MA 01609 USA
来源：
WIRELESS COMMUNICATIONS & MOBILE COMPUTING | 2018年
基金：
中国国家自然科学基金; 美国国家科学基金会;
关键词：
INDEX MODULATION; NETWORKS;
D O I：
10.1155/2018/3897857
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A genetic algorithm (GA) based QoS perception routing protocol (GABR) is proposed to guarantee the quality of service (QoS) influenced by broken links between vehicles and the failure of packets transmission in a vehicular ad hoc network (VANET). With the observation that all improvable paths are probed by the intersection based routing protocol, the geneticGAis utilized to optimize the global available paths which satisfies the QoS requirement. Moreover, by means of the numerical results, it is shown that the proposed scheme is significantly improved compared with protocols of the intersection based routing (IBR) and connectivity aware routing (CAR) in terms of transmission delay and packet loss rate.
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收藏
页数：10
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