Elongation of WSN lifetime using a centralised clustering technique

Authors:
Nora A. Ali;Hany M. ElSayed;Magdy El-Soudani;Hassanein H. Amer;Ramèz M. Daoud
Affiliations:
Electronics and Communications Engineering Department, Faculty of Engineering, Cairo University, Giza 12613, Egypt.;Electronics and Communications Engineering Department, Faculty of Engineering, Cairo University, Giza 12613, Egypt.;Electronics and Communications Engineering Department, Faculty of Engineering, Cairo University, Giza 12613, Egypt.;Electronics Engineering Department, American University in Cairo, AUC Avenue, P.O. Box 74, New Cairo 11835, Egypt.;Electronics Engineering Department, American University in Cairo, AUC Avenue, P.O. Box 74, New Cairo 11835, Egypt
Venue:
International Journal of Systems, Control and Communications
Year:
2012

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Abstract

Wireless sensor networks (WSN) is one of the most important fields of research in recent years due to its wide range of applications. Lifetime elongation is the main concern in WSN. This paper focuses on improving the lifetime by using the clustering technique with a centralised algorithm. The optimum number of clusters that maximises the lifetime is obtained and the relation between clusters is investigated. The results prove that the independency of cluster head selection decisions improves the lifetime. Clustering is applied to networks covering large areas and the clustering efficiency is verified. Also, using clustering in applications that do not need data aggregation, is investigated.