Fuzzy Logic-Based Cluster Heads Percentage Calculation for Improving the Performance of the LEACH Protocol

Fuzzy Logic-Based Cluster Heads Percentage Calculation for Improving the Performance of the LEACH Protocol

Omar Banimelhem (Department of Network Engineering and Security, Jordan University of Science and Technology, Irbid, Jordan), Eyad Taqieddin (Department of Network Engineering and Security, Jordan University of Science and Technology, Irbid, Jordan), Moad Y. Mowafi (Jordan University of Science and Technology, Irbid, Jordan), Fahed Awad (Department of Network Engineering and Security, Jordan University of Science and Technology, Irbid, Jordan) and Feda' Al-Ma'aqbeh (Jordan University of Science and Technology, Irbid, Jordan)
Copyright: © 2015 |Pages: 19
DOI: 10.4018/IJFSA.2015100106
OnDemand PDF Download:
$30.00
List Price: $37.50

Abstract

In wireless sensor networks, cluster-based routing was proven to be the most energy-efficient strategy to deal with the scaling problem. In addition, selecting the proper number of clusters is a critical decision that can impose a significant impact on the energy consumption and the network lifetime. This paper presents FL-LEACH, a variant of the well-known LEACH clustering protocol, which attempts to relax the stringent strategy of determining the number of clusters used by LEACH via fuzzy logic decision-making scheme. This relates the number of clusters to a number of network characteristics such as the number of sensor nodes, the area of the sensing field, and the location of the base station. The performance of FL-LEACH was evaluated via simulation and was compared against LEACH using standard metrics such as network lifetime and remaining network energy. The results depicted that the proposed approach has the potential to substantially conserve the sensor node energy and extend lifetime of the network.
Article Preview

In this section, we discuss the background that contributes in understanding the rest of the paper and review the related work. We begin with an overview of fuzzy logic. Then, we discuss the main principles of clustering approaches in WSNs. The last part of this section reviews LEACH protocol and the related work that was proposed to improve its functionality.

Complete Article List

Search this Journal:
Reset
Open Access Articles: Forthcoming
Volume 6: 4 Issues (2017)
Volume 5: 4 Issues (2016)
Volume 4: 4 Issues (2015)
Volume 3: 4 Issues (2013)
Volume 2: 4 Issues (2012)
Volume 1: 4 Issues (2011)
View Complete Journal Contents Listing