Title: Adaptive clustering and routing using fuzzy decision model in WSN

Authors: T. Prabakaran; N.K. Karthikeyan

Addresses: Faculty of Electronics and Communication Engineering, SNS College of Technology, Tamil Nadu, India ' Department of Information Technology, Sri Krishna College of Engineering and Technology, Coimbatore, India

Abstract: In most of the clustering process, selection of reliable and efficient cluster head selection is important issue. In most of the clustering process, failure of CH occurs due to energy depletion and if the distance between sink and CH is more it ultimately leads to failure in transmission. In order to overcome this issue an adaptive clustering and routing using fuzzy decision model in WSN is proposed. In the proposed technique, first the optimal number of nodes in the cluster is found based on energy level of each node and transmission range is found. Also the size of cluster is found to determine the density of the network. Finally, selection of CH is done using the fuzzy decision model which includes the parameter such as energy level, quality of link, distance of node to sink, data rate and degree of heterogeneity. The advantage of proposed technique is that it provides network with most reliable CH for transmission of the packet.

Keywords: wireless sensor networks; WSNs; cluster heads; WSN routing; clustering; fuzzy decision models; reliability; fuzzy logic; energy level; link quality; node to sink distance, data rate; heterogeneity degree.

DOI: 10.1504/IJMNDI.2015.069222

International Journal of Mobile Network Design and Innovation, 2015 Vol.6 No.1, pp.51 - 62

Received: 23 Jun 2014
Accepted: 13 Oct 2014
Published online: 05 May 2015 *

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