A Study of Energy Efficient Clustering Protocols for Wireless Sensor Networks

Authors

  • kaur H M.tech research scholar, Dept of ECE, ACET Amritsa
  • singh T Prof and H.O.D, Dept of ECE, ACET Amritsar

Keywords:

Wsn, Clustering, Fuzzy Logic, Energy Consumption

Abstract

WSN is usually motivated from the armed operation's gives improved outcome to in comparison with conventional wired network. In WSN nodes may be deployed in unmanned region. There are also a lot of fields of WSN application like farming, home study, location monitoring, structural health monitoring, heavy manufacturing monitoring, and security monitoring. In this paper, a survey on various clustering protocols has been done. From the survey, it has been concluded that none of the technique performs effectively in all fields. Although fuzzy based clustering has shown better results over the others but it has not yet improved for 3D wireless environment. Therefore the paper ends with the future scope to overcome these issues.

References

Xin, Guan, Wang YongXin, and Liu Fang. "An energy-efficient clustering technique for wireless sensor networks." In Networking, Architecture, and Storage, 2008. NAS'08. International Conference on, pp. 248-252. IEEE, 2008.

Yuan, Jinhui, and Hong Chen. "The optimized clustering technique based on spatial-correlation in wireless sensor networks." In Information, Computing and Telecommunication, 2009. YCICT'09. IEEE Youth Conference on, pp. 411-414. IEEE, 2009.

Goli, Sepideh Afkhami, Hamed Yousefi, and Ali Movaghar. "An efficient distributed cluster-head election technique for load balancing in wireless sensor networks." In Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2010 Sixth International Conference on, pp. 227-232. IEEE, 2010.

Veena, K. N., and BP Vijaya Kumar. "Dynamic clustering for Wireless Sensor Networks: a neurofuzzy technique approach." In Computational Intelligence and Computing Research (ICCIC), 2010 IEEE International Conference on, pp. 1-6. IEEE, 2010.

Bhattacharjee, S., and Subhansu Bandyapadhyay. "A dynamic energy efficient multi hop routing technique using energy aware clustering in wireless sensor network." In Electronics Computer Technology (ICECT), 2011 3rd International Conference on, vol. 5, pp. 199-202. IEEE, 2011.

Suroso, Dwi Joko, P. Cherntanomwong, Pitikhate Sooraksa, and J-I. Takada. "Fingerprint-based technique for indoor localization in wireless sensor networks using Fuzzy C-Means clustering algorithm." In Intelligent Signal Processing and Communications Systems (ISPACS), 2011 International Symposium on, pp. 1-5. IEEE, 2011

Zytoune, Ouadoudi, Youssef Fakhri, and Driss Aboutajdine. "Time based clustering technique for routing in wireless sensor networks." In Multimedia Computing and Systems (ICMCS), 2011 International Conference on, pp. 1-4. IEEE, 2011.

Thomas, Aby K., and R. Devanathan. "Energy efficient dynamic multi-level hierarchical clustering technique for network discovery in wireless sensor networks." In Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2011 3rd International Congress on, pp. 1-5. IEEE, 2011.

Wang, Sheng-Shih, Hung-Chang Chen, and Ze-Ping Chen. "An Energy and Link Efficient Clustering Technique for Reliable Routing in Wireless Sensor Networks." In Wireless Communications, Networking and Mobile Computing (WiCOM), 2012 8th International Conference on, pp. 1-4. IEEE, 2012.

Dutta, A. Raju, B. Sajal Saha, and C. A. K. Mukhopadhyay. "Efficient clustering techniques to optimize the system lifetime in Wireless Sensor Network." InAdvances in Engineering, Science and Management (ICAESM), 2012 International Conference on, pp. 679-683. IEEE, 2012.

Bhowmik, Shimul, Amartya Sen, and Sanghita Bhattacharjee. "Balanced neighborhood aware clustering technique in Wireless Sensor Networks." InPower, Control and Embedded Systems (ICPCES), 2012 2nd International Conference on, pp. 1-5. IEEE, 2012.

Varalakshmi, P., K. Murugan, and B. S. Bavadhariny. "An efficient fuzzy clustering technique in Wireless Sensor Networks." In Advanced Computing (ICoAC), 2013 Fifth International Conference on, pp. 212-216. IEEE, 2013.

Adulyasas, Attapol, Zhili Sun, and Ning Wang. "An event-driven clustering-based technique for data monitoring in wireless sensor networks." In Consumer Communications and Networking Conference (CCNC), 2013 IEEE, pp. 653-656. IEEE, 2013.

Gupta, Itika, and A. K. Daniel. "An Energy-Efficient Position Based Clustering Protocol for Wireless Sensor Network Using Round Robin Scheduling Technique." In Advanced Computing and Communication Technologies (ACCT), 2013 Third International Conference on, pp. 231-235. IEEE, 2013.

Kannadhasan, S., G. KarthiKeyan, and V. Sethupathi. "A graph theory based energy efficient clustering techniques in wireless sensor networks." InInformation & Communication Technologies (ICT), 2013 IEEE Conference on, pp. 151-155. IEEE, 2013.

Barakkath Nisha, U., N. Uma Maheswari, R. Venkatesh, and R. Yasir Abdullah. "Robust estimation of incorrect data using relative correlation clustering technique in wireless sensor networks." In Communication and Network Technologies (ICCNT), 2014 International Conference on, pp. 314-318. IEEE, 2014.

Tripathy, Asis Kumar, and Suchismita Chinara. "Authenticated data transmission technique for clustered wireless sensor network." In Industrial and Information Systems (ICIIS), 2014 9th International Conference on, pp. 1-6. IEEE, 2014.

Sert, Seyyit Alper, Hakan Bagci, and Adnan Yazici. "MOFCA: Multi-objective fuzzy clustering algorithm for wireless sensor networks." Applied Soft Computing 30 (2015): 151-165.

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Published

2024-02-26

How to Cite

kaur, H., & singh, T. (2024). A Study of Energy Efficient Clustering Protocols for Wireless Sensor Networks. COMPUSOFT: An International Journal of Advanced Computer Technology, 4(05), 1799–1806. Retrieved from https://ijact.in/index.php/j/article/view/315

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Section

Review Article

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