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Journal of Computer Networks and Communications
Volume 2017, Article ID 1630673, 8 pages
Research Article

Energy Efficient Secure Trust Based Clustering Algorithm for Mobile Wireless Sensor Network

Department of Computer Science and Software Engineering and Department of Electrical Engineering, International Islamic University, Islamabad, Pakistan

Correspondence should be addressed to Eid Rehman; moc.liamg@ktknamherdie

Received 22 April 2017; Accepted 12 June 2017; Published 28 August 2017

Academic Editor: Liansheng Tan

Copyright © 2017 Eid Rehman et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The main benefit of selecting a suitable node as cluster head (CH) in clustering for wireless mobile sensor networks (MWSNs) is to prolong the network lifetime. But the safe selection of CH is a challenging task by taking security into account. Mostly CH selection algorithms in MWSN do not consider security when selecting CH. We have proposed secure CH selection algorithm by calculating weight of each node to deal with secure selection using minimum energy consumption. The weight of node is a combination of different metrics including trust metric (behaviors of sensor node) which promotes a secure decision of a CH selection; in terms of this, the node will never be a malicious one. The trust metric is definitive and permits the proposed clustering algorithm to keep away from any malignant node in the area to select a CH, even if the rest of the parameters are in its favor. Other metrics of node include waiting time, connectivity degree, and distance among nodes. The selection of CHs is completed utilizing weights of member nodes. The preparatory outcomes acquired through simulation exhibit the adequacy of our proposed scheme as far as average rate of avoiding malicious node as a CH, energy efficiency, and some other performance parameters are concerned.