WN-LEACH: A Weighted Residual Energy Based Cluster-Heads Selection Algorithm for Wireless Sensor Network

Article Preview

Abstract:

This article focused on the energy limit property of Wireless Sensor Network, and proposed a residual energy based algorithm WN-LEACH, with the classic network mode of LEACH routing algorithm. The algorithm combines the proportion of residual energy in the total energy with the cumulative number of the normal nodes supported by the cluster heads as a cluster selection reference. In order to balance the energy consumption of each cluster-head, the algorithm took both the different positions of the base station and the initial energy of the network into consideration, and weighted the two factors to balance the energy consumption between transmitting the signals and data fusion. Simulation results show that the algorithm can promote the lifetime of the uneven energy network and does not impair the effects of the LEACH algorithm.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 765-767)

Pages:

980-984

Citation:

Online since:

September 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] R.V. Kulkarni, A. Förster and G.K. Venayagamoorthy: Computational Intelligence in Wireless Sensor Networks: A Survey, Communications Surveys & Tutorials, IEEE, Vol. 13 (2011), pp.68-96.

DOI: 10.1109/surv.2011.040310.00002

Google Scholar

[2] M. Haneef, W. Zhou and Z. Deng: MG-LEACH: Multi Group Based LEACH an Energy Efficient Routing Algorithm for Wireless Sensor Network, International Advanced Communication Technology Conference (2012). pp.179-183.

Google Scholar

[3] Y. Mao, C. Li and J. Wu: EECS: An Energy Efficient Clustering Scheme in Wireless Sensor Networks, Performance, Computing, and Communications Conference (2005), pp.535-540.

DOI: 10.1109/pccc.2005.1460630

Google Scholar

[4] E. Hajian, K. Jamshidi and A. Bohlooli: Increasing WSN Lifetime by Using Learning Automata for Optimal Route Selection, Information Networking and Automation, Vol. 1 (2010), pp.215-218.

DOI: 10.1109/icina.2010.5636403

Google Scholar

[5] W.R. Heinzelman, A. Chandrakasan and H. Balakrishnan: Energy-Efficient Communication Protocol for Wireless Microsensor Networks, In the Proceedings of the 33rd Annual Hawaii International Conference on System Sciences(2000), pp.3005-3014.

DOI: 10.1109/hicss.2000.926982

Google Scholar

[6] A.A. Abbasia and M. Younisb: A Survey on Clustering Algorithms for Wireless Sensor Networks, Computer Communications, Vol. 30(2007), pp.2826-2841.

DOI: 10.1016/j.comcom.2007.05.024

Google Scholar

[7] W.R. Heinzelman, A. Chandrakasan and H. Balakrishnan: An Application-specific Protocol Architecture for Wireless Microsensor Networks, Wireless Communications, Vol. 1 (2002) pp.660-670.

DOI: 10.1109/twc.2002.804190

Google Scholar

[8] R.K. Tripathi, Y.N. Singh and N.K. Verma: N-LEACH, a Balanced Cost Cluster-Heads Selection Algorithm for Wireless Sensor Network, National Communications Conference (2012), pp.1-5.

DOI: 10.1109/ncc.2012.6176825

Google Scholar

[9] D. Kumar, T.C. Aseri and R.B. Patel: EEHC: Energy Efficient Heterogeneous Clustered Scheme for Wireless Sensor Networks, Computer Communications, Vol. 32 (2009), pp.662-667.

DOI: 10.1016/j.comcom.2008.11.025

Google Scholar