An efficient cluster head selection strategy for provisioning fairness in wireless sensor networks

To select fair and balanced cluster head for cross layer protocol in wireless sensor network, a novel scheme is proposed in this paper. Because LEACH-C and its most of the variants select cluster head by considering energy and distance as a crucial parameter, it can reduce energy consumption of nodes but fail to create balanced cluster. According to the requirement of fair CH selection, we consider residual energy, number of neighbor nodes and one hop neighbor information. The proposed algorithm not only save significant amount of energy but also cover every region of the sensing area in a balanced manner. We evaluate our proposed protocol with two recent clustering approach, one is distributed and another is centralized approach. Matlab simulation result shows that the significant performance improvement over the related schemes achieved by proposed protocol in terms of First Node Death (FND), Last Node Death (LND) and energy consumption.

[1]  Mwika Stephanie Mbiya,et al.  An Efficient Routing Algorithm for Wireless Sensor Networks based on Centrality Measures , 2017 .

[2]  Krishna Kant,et al.  LEACH-MAC: a new cluster head selection algorithm for Wireless Sensor Networks , 2015, Wireless Networks.

[3]  Wu Jie,et al.  EECS:an energy-efficient clustering scheme in wireless sensor networks , 2007 .

[4]  Ahmad Patooghy,et al.  I-LEACH: An efficient routing algorithm to improve performance & to reduce energy consumption in Wireless Sensor Networks , 2013, The 5th Conference on Information and Knowledge Technology.

[5]  Anantha P. Chandrakasan,et al.  An application-specific protocol architecture for wireless microsensor networks , 2002, IEEE Trans. Wirel. Commun..

[6]  Mohammad S. Obaidat,et al.  A cluster-head selection algorithm for Wireless Sensor Networks , 2010, 2010 17th IEEE International Conference on Electronics, Circuits and Systems.

[7]  Mahdi Fazeli,et al.  Distance-Based Segmentation: An Energy-Efficient Clustering Hierarchy for Wireless Microsensor Networks , 2007, Fifth Annual Conference on Communication Networks and Services Research (CNSR '07).

[8]  Ian F. Akyildiz,et al.  Sensor Networks , 2002, Encyclopedia of GIS.

[9]  Chakchai So-In,et al.  Two energy-efficient cluster head selection techniques based on distance for wireless sensor networks , 2014, 2014 International Computer Science and Engineering Conference (ICSEC).

[10]  Wendi Heinzelman,et al.  Energy-efficient communication protocol for wireless microsensor networks , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[11]  Hadi Larijani,et al.  ANCH: A New Clustering Algorithm for Wireless Sensor Networks , 2013, 2013 27th International Conference on Advanced Information Networking and Applications Workshops.

[12]  Hadi Larijani,et al.  A Survey on Centralised and Distributed Clustering Routing Algorithms for WSNs , 2015, 2015 IEEE 81st Vehicular Technology Conference (VTC Spring).

[13]  Sonali Chouhan,et al.  Energy Efficient Hybrid multihop clustering algorithm in wireless sensor networks , 2013, 2013 IEEE International Conference on Communication, Networks and Satellite (COMNETSAT).

[14]  Juan Feng,et al.  Efficient cluster head selection for target tracking in wireless sensor network , 2015, 2015 IEEE Asia Pacific Conference on Wireless and Mobile (APWiMob).

[15]  Sanjay Kumar Jena,et al.  Cluster Based Multipath Routing Protocol for Wireless Sensor Networks , 2015, CCRV.