Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 30184
Effect of Clustering on Energy Efficiency and Network Lifetime in Wireless Sensor Networks

Authors: Prakash G L, Chaitra K Meti, Poojitha K, Divya R.K.

Abstract:

Wireless Sensor Network is Multi hop Self-configuring Wireless Network consisting of sensor nodes. The deployment of wireless sensor networks in many application areas, e.g., aggregation services, requires self-organization of the network nodes into clusters. Efficient way to enhance the lifetime of the system is to partition the network into distinct clusters with a high energy node as cluster head. The different methods of node clustering techniques have appeared in the literature, and roughly fall into two families; those based on the construction of a dominating set and those which are based solely on energy considerations. Energy optimized cluster formation for a set of randomly scattered wireless sensors is presented. Sensors within a cluster are expected to be communicating with cluster head only. The energy constraint and limited computing resources of the sensor nodes present the major challenges in gathering the data. In this paper we propose a framework to study how partially correlated data affect the performance of clustering algorithms. The total energy consumption and network lifetime can be analyzed by combining random geometry techniques and rate distortion theory. We also present the relation between compression distortion and data correlation.

Keywords: Clusters, multi hop, random geometry, rate distortion.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1083567

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1313

References:


[1] D. Baker and A. Ephremides, "The architectural organization of a mobile radio network via a distributed algorithm," Transactions on communications, vol. 29, pp. 1694-1701, Nov 1981.
[2] A. D. Amis, R. Prakash, T. H. P. Vuong, and D. T. Huynh, "Max-min dcluster formation in wireless ad hoc networks," INFOCOM, pp. 32-41, March 2000.
[3] W. B. Heinzelman, A. P. Chandrakasan, and H. Balakrishnan, "An application-specific protocol architecture for wireless microsensor network," IEEE Trans. on Wireless Communications, vol. 1, pp. 660-670, Oct 2002.
[4] S. Bandyopadhyay and E. J. Coyle, "An energy efficient hierarchical clustering algorithm for wireless sensor networks," INFOCOM, vol. 3, pp. 1713-1723, April 2003.
[5] Z. J. Haas and B. Liang, "Ad hoc mobility management with uniform quorum systems," IEEE/ACM Transactions on Networking, vol. 7, pp. 228-240, April 1999.
[6] A. Boulis, S. Ganeriwal, and M. B. Srivastava, "Aggregation in sensor networks: An energy acuracy trade-off," Proceedings of the First IEEE. 2003 IEEE International Workshop, pp. 128-138, May 2003.
[7] J. Chou, D. Petrovic, and K. Ramachandran, "A distributed and adaptive signal processing approach to reducing energy consumption in sensor networks," INFOCOM, vol. 2, pp. 1054-1062, April 2003.
[8] D. Petrovic, R. C. Shah, K. Ramchandran, and J. Rabaey, "Data funneling: routing with aggregation and compression for wireless sensor networks," IEEE International Workshop on Sensor Network Protocols and Applications, pp. 156-162, May 2003.
[9] E. Duarte-Melo and M. Liu, "Analysis of energy consumption and lifetime of heterogeneous wireless sensor networks," GLOBECOM -02, vol. 1, pp. 21-25, 2002.
[10] I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, "A survey on sensor networks," IEEE communications magazine, vol. 40, pp. 102- 114, Aug 2002.