Effect Of Clustering On Energy Efficiency And Network Lifetime In Wireless Sensor Networks

Autor: Prakash G L, Chaitra K Meti, Poojitha K, Divya R.K.
Jazyk: angličtina
Rok vydání: 2009
Předmět:
DOI: 10.5281/zenodo.1083566
Popis: 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.
{"references":["D. Baker and A. Ephremides, \"The architectural organization of a\nmobile radio network via a distributed algorithm,\" Transactions on\ncommunications, vol. 29, pp. 1694-1701, Nov 1981.","A. D. Amis, R. Prakash, T. H. P. Vuong, and D. T. Huynh, \"Max-min dcluster\nformation in wireless ad hoc networks,\" INFOCOM, pp. 32-41,\nMarch 2000.","W. B. Heinzelman, A. P. Chandrakasan, and H. Balakrishnan, \"An\napplication-specific protocol architecture for wireless microsensor network,\"\nIEEE Trans. on Wireless Communications, vol. 1, pp. 660-670,\nOct 2002.","S. Bandyopadhyay and E. J. Coyle, \"An energy efficient hierarchical\nclustering algorithm for wireless sensor networks,\" INFOCOM, vol. 3,\npp. 1713-1723, April 2003.","Z. J. Haas and B. Liang, \"Ad hoc mobility management with uniform\nquorum systems,\" IEEE/ACM Transactions on Networking, vol. 7,\npp. 228-240, April 1999.","A. Boulis, S. Ganeriwal, and M. B. Srivastava, \"Aggregation in sensor\nnetworks: An energy acuracy trade-off,\" Proceedings of the First IEEE.\n2003 IEEE International Workshop, pp. 128-138, May 2003.","J. Chou, D. Petrovic, and K. Ramachandran, \"A distributed and adaptive\nsignal processing approach to reducing energy consumption in sensor\nnetworks,\" INFOCOM, vol. 2, pp. 1054-1062, April 2003.","D. Petrovic, R. C. Shah, K. Ramchandran, and J. Rabaey, \"Data\nfunneling: routing with aggregation and compression for wireless sensor\nnetworks,\" IEEE International Workshop on Sensor Network Protocols\nand Applications, pp. 156-162, May 2003.","E. Duarte-Melo and M. Liu, \"Analysis of energy consumption and\nlifetime of heterogeneous wireless sensor networks,\" GLOBECOM -02,\nvol. 1, pp. 21-25, 2002.\n[10] I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, \"A survey\non sensor networks,\" IEEE communications magazine, vol. 40, pp. 102-\n114, Aug 2002."]}
Databáze: OpenAIRE
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