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International Journal of Wireless and Microwave Technologies(IJWMT)

ISSN: 2076-1449 (Print), ISSN: 2076-9539 (Online)

Published By: MECS Press

IJWMT Vol.8, No.2, Mar. 2018

A novel Energy Efficient Cluster Head Selection Method for Wireless Sensor Networks

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Author(s)

Jasvir Kaur, Sukhchandan Randhawa, Sushma Jain

Index Terms

Wireless Sensor Networks;LEACH;k-Means algorithm;Flower Pollination Algorithm;Energy-efficiency;Cluster Head

Abstract

Wireless Sensor Networks are becoming a worldwide sensational topic with recent advances in wireless communications and digital electronics. It serves as the backbone for controlling real-life applications. It consists of group of sensor nodes that sense the information from an event area and passes it to the base station which reacts according to the environment. There are number of cluster based routing protocols, in which a region is divided into number of clusters and within each cluster, a cluster head is elected based on some parameter. So, a novel selection method for the cluster head having efficiency in energy is based on Flower Pollination Algorithm (FPA) is proposed in this paper. The performance of our proposed scheme is being analyzed and is compared with the already existing protocols like LEACH, C-LEACH and K-Means in terms of energy efficiency, number of alive nodes, packet drop ratio and energy dissipation etc

Cite This Paper

Jasvir Kaur, Sukhchandan Randhawa, Sushma Jain," A novel Energy Efficient Cluster Head Selection Method for Wireless Sensor Networks", International Journal of Wireless and Microwave Technologies(IJWMT), Vol.8, No.2, pp. 37-51, 2018.DOI: 10.5815/ijwmt.2018.02.04

Reference

[1]Akyilidiz I.F., Su W., Sankarasubramaniam Y. and Cayirci E. Wireless sensor networks: A survey. Computer Networks 2002; volume 38, no. 4, pp. 393-422, March 2002. 

[2]Xiaofeng M., Min Y., Dilin M. Application overview of wireless sensor networks. Computer application and software 2008; 25(3):179-181.

[3]Zytoune Q., Aroussi M. El., Rziza M., Aboutajdine D. Stochastic Low Energy Adaptive Clustering Hierarchy. Computer Networks and Internet Research Journal 2008, 8(1): 47-51. 

[4]Younis O. and Fahamy S. Distributed clustering in ad-hoc sensor networks: A hybrid, energy-efficient approach.  in Proc. IEEE INFOCOM 2004, 1: 629-640. 

[5]Akkaya K., Younis M. A survey on routing protocols for wireless sensor networks,” Ad Hoc Networks 2005, 3(3):325-349.

[6]Heinzelman W.B., Chandrakasan A.P. and Balakrishnan H. Energy-Efficient Communication Protocol for Wireless Microsensor Networks. Proceedings of the Hawaii International Conference on System Sciences, January 2000, 8(8): 8-20.

[7]Guo L.Q., Xie Y., Yang C.H and Jing Z.W. Improvement on LEACH by combining Adaptive Cluster Head Election and Two-hop transmission. Ninth International Conference on Machine Learning and Cybernetics, Qingdao, July 2010; 1678-1683.

[8]Xiangning F., Yulin S. Improvement on LEACH Protocol of Wireless Sensor Network. International Conference on Sensor Technologies and Applications 2007;  260-264.

[9]Park G. Y., Kim H., Jeong H. W. and Youn H. Y. A Novel Cluster Head Selection Method based on K-Means Algorithm for Energy Efficient Wireless Sensor Network. 27th International Conference Adv. Inf. Network Application Work 2013; 910–915.

[10]Singh M. P., Kaur K.. A Study and Analysis of Congestion Control Wireless Sensor Networks. I.J. Wireless and Microwave Technologies 2016, 6(6):14-23.

[11]Kumar V., Singh P., Kumar A., Tyagi N. Performance Analysis of Energy Aware Backbone based Approaches for Data Dissemination in Wireless Sensor Network. I.J. Wireless and Microwave Technologies, 2016; 6(5):72-82.

[12]Hajraoui A., Chakkor S., Baghouri M., Essaâdi A., Bourzek A. The Scalability and Stability Analysis of KLEACH Routing Protocol in Wireless Sensor Networks. I. J. Computer Network and Information Security, 2016; 8(4): 22-29.

[13]Rana S., Bahar A. N., Islam N., Islam J. Fuzzy Based Energy Efficient Multiple Cluster Head Selection Routing Protocol for Wireless Sensor Networks. I. J. Computer Network and Information Security 2015; 7(4):54-61.

[14]Banerjee R. Cluster Based Routing Algorithm with Evenly Load Distribution for Large Scale Networks. in International Conference on Computer Communication and Informatics (ICCCI) 2014;  pp. 1–6.

[15]Thein M. C. M. and Thein T. An energy efficient cluster-head selection for wireless sensor networks. in 1st International Conference on Intelligent Systems, Modelling and Simulation 2010; pp. 287–291.