A Low Energy Consumption Clustering Routing Protocol Based on K-Means

Abstract

A low energy consumption clustering algorism based on LEACH is researched. Firstly, A method for obtaining the number of clusters k is given, then using the K-Means algorism to divide all the sensor nodes in WSN to the k clusters, in the whole network life cycle the cluster will not changed, and when the energy of cluster head is lower than some threshold, it will be changed. The data transmission between cluster heads to sink node use mixed model, namely, the cluster near the sink node using the single hop and the one far from it using the multiple hops. The experiment shows our method has the longer life cycle and more received information. It is an effective clustering protocol.

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S. Zhong, G. Wang, X. Leng, X. Wang, L. Xue and Y. Gu, "A Low Energy Consumption Clustering Routing Protocol Based on K-Means," Journal of Software Engineering and Applications, Vol. 5 No. 12, 2012, pp. 1013-1015. doi: 10.4236/jsea.2012.512117.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] J. L. Zhou, Q. Y. Cao, R. C. Huang, et al., “A Genetic Algorithm Based on Extended Sequence and Topology Encoding for the Multicast Protocol in Two-tiered WSN,” Expert Systems with Applications, Vol. 37, No. 2, 2010, pp. 1684-1695. doi:10.1016/j.eswa.2009.06.043
[2] C. Y. Chong and S. P. Kumar, “Sensor Networks: Evolution, Opportunities, and Challenges,” Proceedings of the IEEE, Vol. 91, No. 8, 2003, pp. 1247-1256. doi:10.1109/JPROC.2003.814918
[3] J.-J. Chen and P. Jiang, “Algorism for Wireless Sensor Network Based on Fuzzy C-Means,” Computer Engineering, Vol. 37, No. 12, 2011, pp. 62-67. (in Chinese)
[4] O. Youni and S. Fahmy, “HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Ad Hoc Sensor Networks,” IEEE Transactions on Mobile Computing, Vol. 3, No. 4, 2004, pp. 366-379. doi:10.1109/TMC.2004.41
[5] A. Manjeshwar and D. P. Agrawal, “TEEN: A Routing Protocol for Enhanced Efficiency in Wireless Sensor Net-works,” Proceedings of 15th IEEE International Parallel and Distributed Processing Symposium, San Francisco, 23-27 April 2001, pp. 2009-2015.
[6] S. Lindsey and C. S. Raghavendra, “Pegasis: Power Efficient Gathering in Sensor Information Systems,” Proceedings of the IEEE Aerospace, Los Angeles, 2002, pp. 1125-1130.
[7] C.-F. Li, G.-H. Chen, M. Ye and J. Wu, “An Uneven Cluster-Based Routing Protocol for Wireless Networks,” Chinese Journal of Computers, Vol. 30, No. 1, 2007, pp. 27-36.
[8] Z.-Q. Pan, L.-L. Liu and D. Zhang, “An Energy Efficient Routing Protocol Based on Uneven Clustering for Wireless Sensor Networks,” Microelectronics & Computer, Vol. 29, No. 1, 2012, pp. 93-96.
[9] H.-B. Li, C.-B. Yu, J.-H. Yan and Y.-L. Li, “Clustering Strategy for Energy Balance of Wireless Sensor Networks Based on Improved Particle Swarm Optimization Clustering Algorithm,” Application Research of Computer, Vol. 28, No. 2, 2011, pp. 657-660.
[10] S. L. Chiu, “Fuzzy Model Identification Based on Cluster Estimation,” Journal of Intelligent and Fuzzy Systems, Vol. 2, No. 3, 1994, pp. 267-278.
[11] R.-C. Wang, W.-S. Juang and C.-L. Lei, ?Robust Authentication and Key Agreement Scheme Preserving the Privacy of Secret Key,” Computer Communications, Vol. 34, No. 3, 2011, pp. 274-280. doi:10.1016/j.comcom.2010.04.005

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