A Stable Clustering Algorithm based on Affinity Propagation for VANETs

被引：0

作者：

Shahwani, Hamayoun ^{[1
]}

Toan Duc Bui ^{[1
]}

Jeong, Jaehoon ^{[2
]}

Shin, Jitae ^{[1
]}

机构：

[1] Sungkyunkwan Univ, Sch Elect & Elect Engn, Suwon, South Korea

[2] Sungkyunkwan Univ, Dept Interact Sci, Suwon, South Korea

来源：

2017 19TH INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATIONS TECHNOLOGY (ICACT) - OPENING NEW ERA OF SMART SOCIETY | 2017年

关键词：

Vehicular ad hoc network (VANET); Affinity Propagation (AP); clustering; trajectory; stability; ARCHITECTURE;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

This paper proposes a stable clustering algorithm based on Affinity Propagation (AP) for Vehicular Ad Hoc Networks (VANETs). In VANETs, vehicles share information for the safe and efficient driving by Dedicated Short Range Communications (DSRC). We present a trajectory-based clustering algorithm for VANETs using AP clustering technique. Our proposed algorithm considers vehicle trajectories to form more stable clusters. Simulation results show the better presentation of our algorithm. The performance of proposed algorithm is measured via cluster life time by choosing appropriate cluster head.

引用

页码：501 / 504

页数：4

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