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CIAC: Cluster Head Induced Affinity based Clustering for Prolonging the Lifetime of Wireless Sensor Network

by Sudakshina Dasgupta, Paramartha Dutta
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 75 - Number 10
Year of Publication: 2013
Authors: Sudakshina Dasgupta, Paramartha Dutta
10.5120/13147-0565

Sudakshina Dasgupta, Paramartha Dutta . CIAC: Cluster Head Induced Affinity based Clustering for Prolonging the Lifetime of Wireless Sensor Network. International Journal of Computer Applications. 75, 10 ( August 2013), 18-23. DOI=10.5120/13147-0565

@article{ 10.5120/13147-0565,
author = { Sudakshina Dasgupta, Paramartha Dutta },
title = { CIAC: Cluster Head Induced Affinity based Clustering for Prolonging the Lifetime of Wireless Sensor Network },
journal = { International Journal of Computer Applications },
issue_date = { August 2013 },
volume = { 75 },
number = { 10 },
month = { August },
year = { 2013 },
issn = { 0975-8887 },
pages = { 18-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume75/number10/13147-0565/ },
doi = { 10.5120/13147-0565 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:43:55.348089+05:30
%A Sudakshina Dasgupta
%A Paramartha Dutta
%T CIAC: Cluster Head Induced Affinity based Clustering for Prolonging the Lifetime of Wireless Sensor Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 75
%N 10
%P 18-23
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A WSN is composed of a few hundreds to thousands of spatially distributed autonomous sensor nodes. This large-scale deployment of wireless sensor networks (WSNs) and the need for data aggregation necessitate efficient organization of the network topology for the purpose of balancing the load and prolonging the network lifetime. One of the prior issues in WSNs is how to save the energy consumption for prolonging the network lifetime. Clustering has proven to be an effective approach for organizing the network into a connected hierarchy. The communication or message passing process must be designed to conserve the limited energy resources of the sensors. Sensors are clustered into groups, so that sensors from a cluster communicate information only to cluster heads and then the cluster heads communicate the aggregated information to the processing centre which may save energy. For this purpose, many intelligent innovative techniques are required to improve the energy efficiency and lifetime of the network. In this paper, a new Cluster head Induced Affinity based Clustering (CIAC) algorithm has been proposed that can organize the sensors in a wireless sensor network into clusters through randomized selection of cluster heads and based on the affinity factor of each sensor node induced by the selected cluster head different clusters are formed. The performance of the proposed system is evaluated in terms of energy efficiency and reliability.

References
  1. I. F. Akyildiz, W. Su, Y. Sankara subramniam, and E. Cayirei, Aug. 2002. A survey on sensor networks , IEEE Commun Mag. , vol. 40, no. 8, pp. 102-114.
  2. C-Y. Chong, S. P. Kumar, 2003. Sensor Networks: evolution, opportunities and challenges , Proceeding of IEEE 2003,vol. 91(8) pp. 1247-1256.
  3. H. Wang, et al. April 2003. Target classification and localization in habitat monitoring , Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing Hong Kong china. ,Vol. 4, pp. 844-847.
  4. D. E. Goldberg, 1989. Genetic Algorithms in Search, optimization and Machine Learning, Addison Wesley, New York, .
  5. A. B. McDonald, T. Znati, 1999. A mobility based framework for adaptive clustering in wireless adhoc networks", IEEE Journal on Selected Areas in Communications 17 (8) ,pp. 1466-1487.
  6. S. Bandyopadhyay , E. Coyle, 2003. An energy efficient hierarchical clustering algorithm for wireless sensor networks, Proceedings of the 22nd Annual Joint Conference of the IEEE Computer and Communications Societies, San Francisco, California ,Vol. 3, pp. 1713-1723.
  7. W. B. Heinzelman , A. P. Chandrakasan , H. Balakrishnan, 2002. Application specific protocol architecture for wireless microsensor networks,IEEE Transactions on Wireless Networking, pp. 660-670.
  8. Li Qing, Qingxin Zhu,2006. Mingwen Wang Design of a distributed energy-efficient clustering algorithm for heterogeneous wireless sensor networks, Computer Communications, 29, pp. 2230-2237.
  9. D. Turgut, S. K. Das, R. Elmasri, and B. Turgut,. Optimizing clustering algorithm in mobile adhoc networks using genetic algorithmic approach, Proceedings of the Global Telecommunications conference (GLOBECOM), 2002, IEEE ,Vol. 1, pp. 62-66.
  10. G. Wang ,H. Dai ,L. Wu and B. Xiong,2009. The clustering algorithm of wireless sensor networks based on multihop between clusters,Computer Science and Information Engineering, vol. 3, pp. 177-181.
  11. J. D. Yu, K. T. Kim ,B. Y. Jung and H,Y. Youn,2009. An Energy Efficient Chain-Based Clustering Routing Protocol for Wireless Sensor Networks ,Advanced Information Networking and Application Workshop , pp. 383-388.
  12. Jamshid Shanbehzadeh ,Saeed Mehrjoo, Abdolhossein Sarrafzadeh ,2011. An Intelligent Energy Efficient Clustering in Wireless Sensor Networks, Proceedings of the International Multi conference of Engineers and computer Scientists , Vol 1, IMECS arch 16-18,Hong Kong
  13. M. J. Handy ,M. Haase, and D. Timmermann, September 2002. Low energy adaptive clustering hierarchy with deterministic cluster-head selection, Proceedings of the 4th International Workshop on Mobile and Wireless Communications Network ,pp. 9-11.
  14. A. John Wiley, D. Minoli and T. Znati, 2007. Wireless Sensor Networks Technology, Protocols and Applications, Inc. ,Publication .
  15. J. Yu, W. Liu, J. Song and B. Cao, 2008. EEMR: An energy-efficient multihop routing protocl for wireless sensor networks,Computer System and Applications(AICCSA), pp. 291-298.
  16. W. Heizelman, A Chandrakasan, H. Balakrishman,2000. Energy-efficient routing protocols for wireless micro sensor networks, Proc 33rd Hawaii international conferences on system sciences (HICS'00),2000,pp 223-232.
  17. Rong Ding ,Bing Yang , Jiawei Wang,September 2009. Soft Threshold based Cluster-head selection algorithm for Wireless Sensor Networks,3rd International Conference on Sensor Technologies and Applications ,pp 526-530.
  18. A. Khademzadeh and K. Khamfroush , April 2009. Lifetime Increase for Wireless Sensor Networks using Cluster-Based Routing,International Association of Computer Science and Information Technology-Spring Conference(IACSITSC),pp. 14-18.
  19. O. Younis, S. Fahmy,2004. HEED: A Hybrid, Energy-Efficient, Distributed clustering approach for Ad Hoc sensor networks,IEEE Transactions on Mobile Computing, vol. 3(4),pp. 366-379.
  20. W. W. Huang, M. Yu ,L. Q. Xiong and J. Wen ,Dec 2008. Energy-Efficient Hierarchical Routing Protocol for Wireless Sensor Networks ,Computational Intelligence and Indrustrial Application (PACIIA), vol. 1, pp. 640-644.
  21. J. M. Mandel ,1995. ,Fuzzy Logic System for Engineering: A Tutorial, Proc of the IEEE 83(3), pp. 345-377.
  22. Gupta I. , Riordan D. , and Sampalli S, May 2012. Cluster-head election using fuzzy logic for wireless sensor networks proceeding of the 3rd Annual Communication Networks and services Research Conference Halifax, pp. 255-260.
  23. J. Anno, L. Barolli, F. Xhafa and A. Durresi,2007. A Cluster-head Selection Method for Wireless Sensor Networks Based on Fuzzy logic, proceedings of IEEE Tencon-, pp. 1-4.
  24. S. Lindsey and C. S. Raghavendra, March 2002. PEGASIS: Power-efficient gathering in sensor information systems, Proceedings of the IEEE Aerospace Conference ,Vol. 3, pp. 1125-1130.
  25. Sudakshina Dasgupta, Paramartha Dutta ,2013 . A Novel Game Theoretic Approach for Cluster Head Selection in WSN ,International journal of Innovative Technology and Exploring Engineering(IJITEE), ISSN:2278-3075,Vol-2,Issue-3, pp 40-43.
  26. Sudakshina Dasgupta, Paramartha Dutta, September 2012. A Democratic Head Election Strategy for Clustering in Wireless Sensor Network . International Journal of Computer Applications (0975 -8887), Volume 54- No. 16, pp. 32-36.
  27. Sudakshina Dasgupta , Paramartha Dutta,2011. An Improved Leach approach for Head selection Strategy in a Fuzzy-C Means induced Clustering of wireless Sensor Network, IEMCON 2011 pp. 203-208.
Index Terms

Computer Science
Information Sciences

Keywords

Clustering Wireless sensor network Cluster head affinity factor.

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