Open AccessMW‐LEACH: Low energy adaptive clustering hierarchy approach for WSN
Author(s) -
El Khediri Salim,
Khan Rehan Ullah,
Nasri Nejah,
Kachouri Abdennaceur
Publication year - 2020
Publication title -
iet wireless sensor systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.433
H-Index - 27
ISSN - 2043-6394
DOI - 10.1049/iet-wss.2019.0195
Subject(s) - network packet , computer science , cluster analysis , energy consumption , wireless sensor network , base station , computer network , latency (audio) , residual , throughput , low latency (capital markets) , hierarchy , set (abstract data type) , efficient energy use , protocol (science) , distributed computing , real time computing , wireless , engineering , algorithm , telecommunications , artificial intelligence , economics , electrical engineering , market economy , programming language , medicine , alternative medicine , pathology
The authors propose a novel multiple weight low energy adaptive clustering hierarchy (MW‐LEACH) protocol for wireless sensor networks. In MW‐LEACH, they select the cluster heads (CHs) based on the residual energy, the distances between the CHs, and an optimal number of member nodes. The nodes are selected from the initial set based on the high residual energy closer to the centre of the density, thus forming an initial set of CH candidates. The candidates then move in different directions to collect data from their members sending it to the base station. The proposed approach has lower complexity in terms of time and message. It is also fast and offers a longer lifetime for the network. It also provides a proper level of fault tolerance. In the experimental simulation evaluation, their approach outperforms state‐of‐the‐art protocols based on performance metrics of throughput, energy consumption, packet delivery, network lifetime, and latency.