Fixed Cluster Formations with Nearest Cluster Heads in Wsns
Author(s) -
Korhan Cengiz
Publication year - 2017
Publication title -
international journal of wireless and microwave technologies
Language(s) - English
Resource type - Journals
eISSN - 2076-9539
pISSN - 2076-1449
DOI - 10.5815/ijwmt.2017.03.01
Subject(s) - cluster analysis , cluster (spacecraft) , wireless sensor network , node (physics) , computer science , set (abstract data type) , energy (signal processing) , k nearest neighbors algorithm , constant (computer programming) , transmission (telecommunications) , computer network , nearest neighbor chain algorithm , data mining , distributed computing , topology (electrical circuits) , engineering , mathematics , artificial intelligence , telecommunications , electrical engineering , statistics , fuzzy clustering , canopy clustering algorithm , structural engineering , programming language
The limited battery usage of a sensor node is one of the significant issues in WSNs. Therefore, extending the lifetime of WSNs through energy efficient mechanisms has become a challenging research area. Previous studies have shown that clustering can decrease the transmission distance of the sensor nodes thus, prolongs the lifetime of the network. In literature, most of the LEACH variants aim to set-up clusters in each round by changing CHs randomly. These formations cause to spend high amount of energy and induce additional network costs. In this paper, an energy-efficient nearest constant clustering approach is proposed to solve the problems of LEACH based protocols. The proposed approach uses constant clusters which are formed only once when algorithm starts. The cluster formation remains fixed until the energies of the all sensors are finished. Proposed approach aims to select nearest CHs in each cluster randomly without changing the cluster formations.
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