Communications and Networking. 12th International Conference, ChinaCom 2017, Xi’an, China, October 10-12, 2017, Proceedings, Part II

Research Article

Navigation Route Based Stable Clustering for Vehicular Ad Hoc Networks

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  • @INPROCEEDINGS{10.1007/978-3-319-78139-6_54,
        author={Zhiwei Yang and Weigang Wu and Yishun Chen and Xiaola Lin and Xiang Chen},
        title={Navigation Route Based Stable Clustering for Vehicular Ad Hoc Networks},
        proceedings={Communications and Networking. 12th International Conference, ChinaCom 2017, Xi’an, China, October 10-12, 2017, Proceedings, Part II},
        proceedings_a={CHINACOM},
        year={2018},
        month={4},
        keywords={VANET Clustering Mobile computing Information dissemination Ad hoc networks},
        doi={10.1007/978-3-319-78139-6_54}
    }
    
  • Zhiwei Yang
    Weigang Wu
    Yishun Chen
    Xiaola Lin
    Xiang Chen
    Year: 2018
    Navigation Route Based Stable Clustering for Vehicular Ad Hoc Networks
    CHINACOM
    Springer
    DOI: 10.1007/978-3-319-78139-6_54
Zhiwei Yang1,*, Weigang Wu1,*, Yishun Chen1,*, Xiaola Lin1,*, Xiang Chen1,*
  • 1: Sun Yat-sen University
*Contact email: yangzhw@mail.sysu.edu.cn, wuweig@mail.sysu.edu.cn, chenysh35@mail.sysu.edu.cn, linxl@mail.sysu.edu.cn, chenxiang@mail.sysu.edu.cn

Abstract

Due to high mobility of vehicles, stability has been always one of the major concerns of vehicle clustering algorithms. In this paper, we propose a novel clustering algorithm based on the information of route planned by vehicular navigation systems. Including route information into cluster mechanism is not trivial due to two issues: (i) stability is a property of time rather than position, (ii) route diversity may cause high re-clustering overhead at road intersections. To address the first issue, we propose a function to quantitatively calculate the overlapping time among vehicles based on route information, with which a novel clusterhead selection metric is designed. To address the second issue, we design a mechanism of future-clusterhead, which can help avoid message exchanges at intersections. The simulation results show that, compared with similar works, our algorithm can cluster vehicles with higher stability and at the same time lower communication cost.