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Abstract
Wireless sensor network has been emerged as the one of the most promising area of research. The use is not limited to space research, transport, battle fields, surveillance, military, health but many more. The large number of deployed nodes need to be efficiently organized to fulfil the need of data aggregation , load balancing and prolonging network life time Sensor nodes are small power devices so to maintain its long life proper measure is required. Clustering serves this requirement by reducing energy consumption and increasing network scalability. In this article, we highlight the objective of clustering, discuss the different clustering approaches and its classification and finally provide a comparative study of different proposals.
Keywords: Base Station (BS), Cell Header (CH), inter-cluster communication, intra- cluster communication.##plugins.themes.academic_pro.article.details##
How to Cite
Gupta, S. K., Ranjan, A., & Sharma, G. (2015). Clustering Techniques for Wireless Sensor Networks. International Journal of Emerging Trends in Science and Technology, 2(06). Retrieved from http://igmpublication.org/ijetst.in/index.php/ijetst/article/view/765
References
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3. S. Meyer and A. Rakotonirainy, “A Survey of Research on Context-Aware Homes,†Workshop on Wearable, Invisible, Context-Aware, Ambient, Pervasive and Ubiquitous Computing, Adelaide Australia, 2003.
4. B. Warneke, M. Last, B. Liebowitz, Kristofer, and S. Pister, “Smart Dust: Communicating with a Cubic- Millimeter Computer,†Computer Magazine, vol. 34, no. 1, pp. 44–51, Jan 2001. doi:10.1109/2.895117
5. A. A. Abbasi and M. Younis. A survey on clustering algorithms for wireless sensor networks. Computer Communication, 30(14-15):2826–2841, 2007. doi:10.1016/j.comcom.2007.05.024
6. I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci. A survey on sensor networks. IEEE Communications Magazine, 2002. doi:10.1109/MCOM.2002.1024422.
7. Schiller, J. Mobile Communications, second edition ed. Addison Wesley, 2003
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9. M. Younis, K. Akkaya, A. Kunjithapatham, Optimization of task allocation in a cluster–based sensor network, in: Proceedings of the 8th IEEE Symposium on Computers and Communications (ISCC’2003), Antalya, Turkey, June 2003.
10. O. Younis, S. Fahmy, HEED: A Hybrid, Energy-Efficient, Distributed clustering approach for Ad Hoc sensor networks, IEEE Transactions on Mobile Computing 3 (4) (2004) 366–379
11. G. Gupta, M. Younis, Fault-tolerant clustering of wireless sensor networks, in: Proceedings of the IEEE Wireless Communication and Networks Conference (WCNC 2003), New Orleans, Louisiana, March 2003.
12. 40 F. Dai, J. Wu, On constructing k-connected k-dominating set in wireless networks, in: Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS’05), Denver, Colorado, April 2005.
13. F. Garcia, J. Solano, I. Stojmenovic, Connectivity based k-hop clustering in wireless networks, Telecommunication Systems 22 (1) (2003) 205–220.
14. E. IlkerOyman, CemErsoy, Multiple sink network design problem in large scale wireless sensor networks, in: Proceedings of the IEEE International Conference on Communications (ICC 2004), Paris, June 2004.
15. K. Dasgupta, M. Kukreja, K. Kalpakis, Topology-aware placement and role assignment for energy-efficient information gathering in sensor networks, in: Proceedings of 8th IEEE Symposium on Computers and Communication (ISCC’03), Kemer-Antalya, Turkey, July 2003.