Grid-Based Cluster Head Selection Algorithm in Wireless Sensor Networks

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Although low-energy adaptive clustering hierarchy (LEACH) protocol adopts distributed clustering algorithm and randomized rotation of Cluster Heads (CHs) mechanism to reduce energy consumption, election of CHs without residual energy and position information of each nodes brings about irregular distribution of CH, low network coverage and short lifecycle. In order to avoid these shortcomings, a Grid-based Cluster Head Selection (GCHS) is proposed. Referring to sensing distance, network is divided into several grids equivalent to independent clusters which can meet network coverage and connectivity. Furthermore, CH is selected ground on residual energy level of each node. Simulation taking full advantage of concept mentioned above manifests that it achieves a significant improvement in network coverage and lifecycle.

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1497-1501

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September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] D. Culler, D. Estrin, and M. Srivastava, Overview of Sensor Networks, IEEE Computer, vol. 37, no. 8, Aug. 2004, pp.41-49.

DOI: 10.1109/mc.2004.93

Google Scholar

[2] J.M. Kahn, R.H. Katz, K.S. Pister, Next century chanllenges: mobile networking for smart dust, ACM MobiCom, 1999, pp.271-278.

DOI: 10.1145/313451.313558

Google Scholar

[3] L. Subramanian, R.H. Katz, An architecture for building self configurable systems, Proceedings of IEEE/ACM Workshop on Mobile Ad Hoc Networking and Computing, Boston, MA, August (2000).

DOI: 10.1109/mobhoc.2000.869214

Google Scholar

[4] V. Mhatre, C. Rosenberg, Homogeneous vs heterogeneous clustered sensor networks: a comparative study, IEEE International Conference on, 6, (2004).

DOI: 10.1109/icc.2004.1313223

Google Scholar

[5] S. Lindsey, C. S. Raghavendra and K. Sivalingam, Data Gathering in Sensor Networks using the Energy*Delay Metric, in the Proceedings of the IPDPS Workshop on Issues in Wireless Networks and Mobile Computing, April (2001).

DOI: 10.1109/ipdps.2001.925196

Google Scholar

[6] W.R. Heinzelman, A. Chandrakasan, and H. Balakrishnan, Energy-efficient communic ation protocol for wireless microsensor networks, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, vol. 8, 2000, pp.3005-3014.

DOI: 10.1109/hicss.2000.926982

Google Scholar

[7] W.R. Heinzelman, A. Chandrakasan, H. Balakrishnan. An application-specific protocol architecture for wireless sensor network, IEEE Transactions on Wireless Communications, 2002, 1(4), pp.660-670.

DOI: 10.1109/twc.2002.804190

Google Scholar

[8] Voigt T, Ritter H, Alonso J. Solar-aware Clustering in Wireless Sensor Networks. Proceedings of the 9th IEEE Symposium on Computers and Communications (ISCC'04)[C]. 2004: 238-243.

DOI: 10.1109/iscc.2004.1358411

Google Scholar

[9] Jia Yunjie, Liu Ming, Zhu Song, Dong Pengtao, A clustering routing algorithm based on energy and distance in WSN, in Conf. Rec. 2012 Int. Conf. on Computer Distributed Control and Intelligent Environmental Monitoring, Hunan, 2012, pp.9-12.

DOI: 10.1109/cdciem.2012.10

Google Scholar

[10] Heinzelman W R, Chandrakasan A, Balakrishnan H. Energy-efficient communication protocol for wireless microsensor networks. Proceedings of the 33rd Annual Hawaii International Conference on System Sciences[C]. IEEE Computer Society, 2000: 3005-3014.

DOI: 10.1109/hicss.2000.926982

Google Scholar

[11] V. Mhatre and C. Rosenberg, Design Guidelines for Wireless Sensor Networks Communication: Clustering and Aggregation, Ad-hoc Networks Journal, vol. 2, 2004, pp: 45-63.

DOI: 10.1016/s1570-8705(03)00047-7

Google Scholar