Fuzzy logic optimized wireless sensor network routing protocol

Authors:
Davood Izadi;Jemal Abawajy;Sara Ghanavati
Affiliations:
Parallel and Distributed Computing Lab, School of Information Technology, Deakin University, Geelong, VIC, Australia;Parallel and Distributed Computing Lab, School of Information Technology, Deakin University, Geelong, VIC, Australia;Parallel and Distributed Computing Lab, School of Information Technology, Deakin University, Geelong, VIC, Australia
Venue:
Journal of High Speed Networks
Year:
2013

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Abstract

Wireless sensor networks WSNs are used in health monitoring, tracking and security applications. Such networks transfer data from specific areas to a nominated destination. In the network, each sensor node acts as a routing element for other sensor nodes during the transmission of data. This can increase energy consumption of the sensor node. In this paper, we propose a routing protocol for improving network lifetime and performance. The proposed protocol uses type-2 fuzzy logic to minimize the effects of uncertainty produced by the environmental noise. Simulation results show that the proposed protocol performs better than a recently developed routing protocol in terms of extending network lifetime and saving energy and also reducing data packet lost.