Research on Region-Based Vehicular Ad Hoc Network Clustering Algorithm

DOI

10.2991/amcce-15.2015.406How to use a DOI?

Keywords

vehicular; ad hoc; clustering algorithm; zone; connectivity

Abstract

Aiming at the complicated environment of Vehicular Ad Hoc Networks(VANET),in this paper,a region-based adaptive clustering algorithm (ZACA) is proposed.Through classifying the road environment into segment and intersection, respectively calculating the connectivity according to the different road environments, and combine it with the regional location and the traditional synthesis weights of the Weighted Clustering Algorithm,the election of the cluster head under different road models and the maintenance of cluster based on the network area are realized.Simulation result shows this method can adapt to vehicular network environment effectively, and also can improve the stability of the cluster and reduce the clustering overhead.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yang Tao
AU  - Na Li
AU  - Wenxuan Zang
PY  - 2015/04
DA  - 2015/04
TI  - Research on Region-Based Vehicular Ad Hoc Network Clustering Algorithm
BT  - Proceedings of the 2015 International Conference on Automation, Mechanical Control and Computational Engineering
PB  - Atlantis Press
SP  - 1035
EP  - 1040
SN  - 1951-6851
UR  - https://doi.org/10.2991/amcce-15.2015.406
DO  - 10.2991/amcce-15.2015.406
ID  - Tao2015/04
ER  -