Research on Vehicle Networking Clustering Routing Algorithm Based on Subtractive Clustering

Li Zhe Yu; Tiao Juan Ren; Zhang Quan Wang; Ban Teng Liu

doi:10.4028/www.scientific.net/AMM.644-650.2366

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 644-650Research on Vehicle Networking Clustering Routing...

Research on Vehicle Networking Clustering Routing Algorithm Based on Subtractive Clustering

Abstract:

Vehicle networking is an important part of intelligent traffic system. It combines wireless sensor network and mobile autonomous network, which is better for drivers to obtain road condition information to ensure driving safety. This paper focuses on the analysis of subtractive clustering and proposed clustering routing algorithm based on subtractive clustering in order to reduce communication of wireless sensor network and redundant flooding and routing expanse. In the algorithm, cluster head selection adopts subtractive clustering to produce cluster node in node intensive place. Cluster forms by adopting current non cluster head node mechanism which reduced energy consumption. Then the maintenance method of cluster is proposed. At last, it introduces routing protocol of cluster which is easier for clustering structure to manage and synchronize network.

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Periodical:

Applied Mechanics and Materials (Volumes 644-650)

Pages:

2366-2369

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.644-650.2366

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Online since:

September 2014

Authors:

Li Zhe Yu*, Tiao Juan Ren, Zhang Quan Wang, Ban Teng Liu

Keywords:

Cluster, Clustering Touting, Subtractive Clustering, Vehicle Networking, Wireless Sensor Network (WSN)

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References

[1] K. K. Xu, W. W. Xia, Y. Wu, et al. Vehicle network applied in desert scene and its clustering routing algorithm. Communication Journal, vol. 33(10), pp.168-172, (2012).

Google Scholar

[2] Z. D. Xie. Research and realization of clustering routing in wireless sensor network. Computer Application Technology of Hunan University, (2009).

Google Scholar

[3] Z. F. Wang, Q. Pan, L. Lang. Dynamic track clustering algorithm based on substractive clustering. Journal of System Stimulation, vol. 21(16), pp.5240-5243, (2009).

Google Scholar

[4] J. H. Pei, J. L. Fan, W. X. Xie. Initialization method of clustering center. Journal of Electronics, vol. 21(3), pp.320-325, (1999).

Google Scholar

[5] Van Zandt JR. Boost phase tracking with an unscented filter [A]. Proceedings of the SPIE (vol. 4728). Bellingham, WA, USA: SPIE, p.4728: 263-274, (2002).

Google Scholar

[6] S. C. Zhang, G. D. Hu, S. H. Liu. New exploration of UKF method and its application in target tracking. Control Theory and Application, vol. 23(4), pp.569-574, (2006).

Google Scholar

[7] B. Chen, K. Jamieson, H. Balakrishnan, et al. SPAN: An energy-efficient coordination algorithm for topology maintenance in ad hoc wireless networks. Wireless Networks, vol. 8(5), pp.481-494, (2002).

DOI: 10.1145/381677.381686

Google Scholar

[8] J. J. Chen, X. P. Fan. Yang X, et al. Clustering routing algorithm of wireless sensor network based on subtractive clustering. Information Control, vol. 37(4), pp.436-437, (2008).

Google Scholar