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Reseach Article

Randomized Clustering Scheme for Heterogeneous Wireless Sensor Networks

by Ahmed Salim
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 173 - Number 2
Year of Publication: 2017
Authors: Ahmed Salim
10.5120/ijca2017915239

Ahmed Salim . Randomized Clustering Scheme for Heterogeneous Wireless Sensor Networks. International Journal of Computer Applications. 173, 2 ( Sep 2017), 1-6. DOI=10.5120/ijca2017915239

@article{ 10.5120/ijca2017915239,
author = { Ahmed Salim },
title = { Randomized Clustering Scheme for Heterogeneous Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2017 },
volume = { 173 },
number = { 2 },
month = { Sep },
year = { 2017 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume173/number2/28304-2017915239/ },
doi = { 10.5120/ijca2017915239 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:20:08.483546+05:30
%A Ahmed Salim
%T Randomized Clustering Scheme for Heterogeneous Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 173
%N 2
%P 1-6
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Wireless Sensor Networks (WSNs) are resource-constrained systems. Efficient use of resources especially, energy is most important for their lifetime extension. Clustering of sensor nodes is a well-known approach for achieving high scalability and efficient resource allocation in WSN. We propose a dynamic, distributive, and self-organizing algorithm that utilizes a simplified clustering approach to organizing the WSN into two-level of the hierarchical network. We consider three-level energy heterogeneity of sensor nodes and takes the advantage of the local information such as residual energy, a number of neighbors and distance to the base station as criteria for CH election and cluster formation. Simulation results show that compared with the existing three-level energy heterogeneity based clustering algorithms, our algorithm can achieve longer sensor network lifetime.

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Index Terms

Computer Science
Information Sciences

Keywords

Wireless sensor networks Clustering self-organizing distributive three-level energy heterogeneity