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Query based Dynamic Clustering in Wireless Sensor Networks

by T. Sujithra, R. Venkatesan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 139 - Number 5
Year of Publication: 2016
Authors: T. Sujithra, R. Venkatesan

T. Sujithra, R. Venkatesan . Query based Dynamic Clustering in Wireless Sensor Networks. International Journal of Computer Applications. 139, 5 ( April 2016), 21-26. DOI=10.5120/ijca2016909161

@article{ 10.5120/ijca2016909161,
author = { T. Sujithra, R. Venkatesan },
title = { Query based Dynamic Clustering in Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { April 2016 },
volume = { 139 },
number = { 5 },
month = { April },
year = { 2016 },
issn = { 0975-8887 },
pages = { 21-26 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2016909161 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-06T23:40:09.138424+05:30
%A T. Sujithra
%A R. Venkatesan
%T Query based Dynamic Clustering in Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 139
%N 5
%P 21-26
%D 2016
%I Foundation of Computer Science (FCS), NY, USA

Cluster based data gathering is one of the approaches to reduce the energy consumption in wireless sensor networks. In this dissertation, we propose query based dynamic clustering algorithm to improve the lifetime of the sensor network. The main idea of this paper, is to increase the network lifetime by clustering the nodes in dynamic basis. The nodes who satisfy the query sent by the base station that are only allowed to remain in the transmit mode and to participate in the clustering process. Remaining nodes go to the sleep mode immediately. Thus transceiver scheduling increases the network lifetime. In which relay nodes are used as routing element, it collects the aggregated information from the cluster head and transmit to the base station via other relay node in a multi-hop fashion. It balances the load of the network. It also reduces the packet loss because of data traffic. From the simulation results, we show that the proposed approach outperforms the existing protocol in terms of increased lifetime and decreased energy consumption.

  1. Jennifer Yick, Biswanath Mukherjee and Dipak Ghosal, “Wireless Sensor Network Survey”, In. Computer Networks , Elsevier, Vol.52, 2008, p.2292-2330.
  2. Kewei Sha and Weisong Shi, ”Modeling the Lifetime of Wireless Sensor Networks“, In. Sensor Letters, American Scientific Publishers, Vol.3, 2005, p. 1-10.
  3. Beenu Baby and Joe Mathew Jacob, “A Survey on Sleep Schedule in Wireless Sensor Networks”, In. International Journal of Engineering Research and Technology, Vol. 2, Issue 3, March 2013.
  4. W.R. Heinzelman, A.P. Chandrakasan and H. Balakrishnan, “Energy Efficient Communication Protocol for Wireless Microsensor Networks”, In. Proceeding of the 33rd Hawaii International Conference on System Sciences, Vol. 8, 2000, p.8020-8030.
  5. X. Liu, J. Cao, S. Lai, C. Yang, H. Wu, and Y. Xu, “Energy Efficient Clustering for Wireless Sensor Networks based Structural Health Monitoring,” In. Proceeding of IEEE INFOCOM, pp. 2768–2776, 2011.
  6. Z. Zhang, M. Ma, and Y. Yang, “Energy Efficient Multi-hop Polling in Clusters of Two Layered Heterogeneous Sensor Networks,” In. IEEE Transactions on Computer, pp. 231–245, 2008.
  7. T. A. A. Alsbou, M. Hammoudeh, Z. Bandar, and A. Nisbet, “An Overview and Classification of Approaches to Information Extraction in Wireless Sensor Networks,” In. Proceedings of the 5th International Conference on Sensor Technologies and Applications (SENSORCOMM ’11), pp. 255, 2011.
  8. Sangho Yi, Junyoung Heo, Yookun Cho and Jiman Hong, ”PEACH: Power Efficient and Adaptive Clustering Hierarchy Protocol for Wireless Sensor Networks, In. IEEE Parallel and Distributed Processing Symposium (IPDPS), Florida, USA, 2007.
  9. Wendi B. Heinzelman, Anantha P. Chandrakasan and Hari BalaKrishnan, “An Application Specific Protocol Architecture for Wireless Microsensor Networks”. In. IEEE Transactions on Wireless Communications, Vol. 1, No. 4, October 2002.
  10. Jau Yang Chang and Pei Hao Ju,” An Efficient Cluster based Power Saving Scheme for Wireless Sensor Networks”, In. Springer Transaction on Wireless Communications and Networking, 2012.
  11. G. Smaragdakis, Ibrahim Matta and Azer Bestavros, “SEP: A Stable Election Protocol for Clustered Heterogeneous Wireless Sensor Networks”, In. International Conference on Sensor and Actor Network Protocols and Applications SANPA, Boston, USA, 2004.
  12. M. Ye, C. Li, G. Chen, J. Wu, “EECS: An Energy Efficient Clustering Scheme in Wireless Sensor Networks”, In. IEEE Conference on Performance Computing and Communications (IPCCC), Phoenix, Arizona, USA, 2005, p.535–40.
  13. Parul Bakaraniya and Sheetal Mehta, ”K-LEACH: An Improved LEACH Protocol for Lifetime Improvement in WSN”, In. International Journal of Engineering Trends and Technology, Vol.4, May 2013, p.1521-1526.
  14. P. Sasikumar and Sibaram Khara, ”K-Means Clustering in Wireless Sensor Networks”, In. IEEE Computer Society: Fourth International Conference on Computational Intelligence and Communication Networks, 2012.
Index Terms

Computer Science
Information Sciences


Multi-hop communication cluster centroid network lifetime cluster head relay node.