Clustering and Energy Efficiency in Wireless Sensor Networks: A Study
Keywords:
base station, clustering, cluster head, multi hop, nodes, sensors, single hop, WSNAbstract
A wireless sensor network comprises a number of small sensors that communicate with each other. Each sensor collects the data and communicates through the network to a single processing center that is a base station. The communication of node and process of message passing consumes energy. This energy consumption by the nodes to transmit data decreases the network lifetime significantly. Clustering is by far the best solution to save the energy consumption in the context of such network. Clustering divides the sensors into groups, so that sensors communicate information only to cluster heads and then the cluster heads communicate the aggregated information to the processing center so as to save energy. This paper studies and discusses various dimensions and approaches of some broadly discovered algorithms for clustering. It also presents a comparative study of various clustering algorithms and discussion about the potential research areas and the challenges of clustering in wireless sensor networks.
References
Saman Siavoshi, et. al, “Load-balanced Energy Efficient Clustering Protocol for Wireless Sensor Eetworks” IET Wireless Sensor Systems,Vol. 06, Issue-03, pp. 67–73, 2016.
Wendi B. Heinzelman,et. al, “An Application-Specific Protocol Architecture for Wireless Microsensor Networks”. IEEE Transactions on Wireless Communications, Vol. 01, No- 04, Oct. 2002
Lindey, S., Raghavendra, C.S., “PEGASIS: Power Efficient Gathering in Sensor Information System”, Proceedings of IEEE Aerospace Conference., Vol. 03, pp. 1125–1130, 2002
Shamneesh Sharma, Dinesh Kumar and Keshav Kishore, "Wireless Sensor Networks- A Review on Topologies and Node Architecture", International Journal of Computer Sciences and Engineering, Volume-01, Issue-02, Page No (19-25), Oct -2013
Younis, O., Fahmy, S.: “HEED: A Hybrid, Energy-Efficient, Distributed Clustering Approach for Adhoc Sensor Networks”, IEEE Transactions on Mobile Computing., 2004, Vol. 03, No-04, pp. 660–669, 2004
C. Li, M. Ye, G. Chen, and J. Wu., “An energy efficient unequal clustering mechanism for wireless sensor networks”. In Proceedings of the 2nd IEEE International Conference on Mobile Ad-Hoc and Sensor Systems Conference, 2005
R.Nathiya and S.G.Santhi, "Energy Efficient Routing with Mobile Collector in Wireless Sensor Networks (WSNs)", International Journal of Computer Sciences and Engineering, Volume-02, Issue-02, Page No (36-43), Feb -2014
Jongsik Jung et. al., “A Forwarding Scheme for Reliable and Energy-Efficient Data Delivery in Cluster-based Sensor Networks” , IEEE Communications Letters, Vol. 09, No.-02, February, 2005
Atul Rana, Manju Bala and Varsha , "Review Paper on MSEEC: Energy Efficient Clustering Protocol in HWSN", International Journal of Computer Sciences and Engineering, Volume-04, Issue-05, Page No (71-75), May -2016
Ming Yu et. al. “A Dynamic Clustering and Energy Efficient Routing Technique for Sensor Networks”, IEEE Transactions On Wireless Communications, Vol. 06, No-08, August 2007
Ablolfazl Afsharzadeh Kazerooni, Hamed Jelodar And Javad Aramideh, “Leach And Heed Clustering Algorithms In Wireless Sensor Networks: A Qualitative Study” Advances in Science and Technology Research Journal Vol. 09, No.-25, pp. 7–11, March 2015.
Tuba Firdaus et. al. “A Survey on Clustering Algorithms for Energy Efficiency in Wireless Sensor Network”
I.F. Akyildiz et al., Wireless sensor networks: a survey, Computer Networks:The International Journal of Computer and Telecommunications Networking,Vol.38, Elsevier, pp. 393-422, March, 2002
D. Culler, D. Estrin, M. Srivastava, "Overview of Sensor Networks", IEEE Computer Magazine, USA, Vol. 37, pp. 41-49, August, 2004.
S. Ghiasi, A. Srivastava, X. Yang, M. Sarrafzadeh, “Optimal energy aware clustering in sensor networks”,Sensors Magazine MDPI 1 (1),Vol. 02, Issue-07, pp. 258-269,2004.
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