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Fuzzy Logic-based Routing Algorithm for Lifetime Enhancement in Heterogeneous Wireless Sensor Networks

Al-Kiyumi, Raja, Foh, Chuan Heng, Vural, Serdar, Chatzimisios, Periklis and Tafazolli, Rahim (2018) Fuzzy Logic-based Routing Algorithm for Lifetime Enhancement in Heterogeneous Wireless Sensor Networks IEEE Transactions on Green Communications and Networking, 2 (2). pp. 517-532.

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Abstract

Energy consumption of sensor nodes is a key factor affecting the lifetime of wireless sensor networks (WSNs). Prolonging network lifetime not only requires energy efficient operation, but also even dissipation of energy among sensor nodes. On the other hand, spatial and temporal variations in sensor activities create energy imbalance across the network. Therefore, routing algorithms should make an appropriate trade-off between energy efficiency and energy consumption balancing to extend the network lifetime. In this paper, we propose a Distributed Energy-aware Fuzzy Logic based routing algorithm (DEFL) that simultaneously addresses energy efficiency and energy balancing. Our design captures network status through appropriate energy metrics and maps them into corresponding cost values for the shortest path calculation. We seek fuzzy logic approach for the mapping to incorporate human logic. We compare the network lifetime performance of DEFL with other popular solutions including MTE, MDR and FA. Simulation results demonstrate that the network lifetime achieved by DEFL exceeds the best of all tested solutions under various traffic load conditions. We further numerically compute the upper bound performance and show that DEFL performs near the upper bound.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
NameEmailORCID
Al-Kiyumi, Rajar.alkiyumi@surrey.ac.uk
Foh, Chuan Hengc.foh@surrey.ac.uk
Vural, SerdarS.Vural@surrey.ac.uk
Chatzimisios, Periklis
Tafazolli, RahimR.Tafazolli@surrey.ac.uk
Date : 30 January 2018
Identification Number : 10.1109/TGCN.2018.2799868
Copyright Disclaimer : © 2018 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information.
Uncontrolled Keywords : Minimum-cost routing; Lifetime maximization; Fuzzy logic; Energy consumption balancing; Distributed shortest path routing; Wireless sensor networks
Depositing User : Clive Harris
Date Deposited : 14 Mar 2018 16:17
Last Modified : 22 May 2018 08:42
URI: http://epubs.surrey.ac.uk/id/eprint/846028

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