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Performance Analysis of LEACH with Machine Learning Algorithms in Wireless Sensor Networks

by Sukhchandan Randhawa, Sushma Jain
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 147 - Number 2
Year of Publication: 2016
Authors: Sukhchandan Randhawa, Sushma Jain
10.5120/ijca2016910988

Sukhchandan Randhawa, Sushma Jain . Performance Analysis of LEACH with Machine Learning Algorithms in Wireless Sensor Networks. International Journal of Computer Applications. 147, 2 ( Aug 2016), 7-12. DOI=10.5120/ijca2016910988

@article{ 10.5120/ijca2016910988,
author = { Sukhchandan Randhawa, Sushma Jain },
title = { Performance Analysis of LEACH with Machine Learning Algorithms in Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2016 },
volume = { 147 },
number = { 2 },
month = { Aug },
year = { 2016 },
issn = { 0975-8887 },
pages = { 7-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume147/number2/25623-2016910988/ },
doi = { 10.5120/ijca2016910988 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:50:48.508015+05:30
%A Sukhchandan Randhawa
%A Sushma Jain
%T Performance Analysis of LEACH with Machine Learning Algorithms in Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 147
%N 2
%P 7-12
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Wireless Sensor Networks consist of thousands of power constrained micro sensors whose main task is to sense and report the target phenomena to the base station. Hierarchical routing plays an important role for transmitting the aggregated data to the sink. Sensor nodes are organized into number of clusters and within each cluster, cluster head is responsible for collecting the data and to report that data to the Base Station. Machine learning algorithms play an important role while selecting the cluster head based on various QoS parameters. In this paper, a hierarchical protocol LEACH is chosen for analyzing the impact of machine learning algorithms – K-Means and modified K-Means clustering on energy consumption of nodes by varying the type of input parameters. This paper covers the brief introduction of 802.15.4 based Wireless Sensor Networks, power models, machine learning algorithms for sensor clustering and simulation environment using NetSim.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Energy Efficiency Hierarchical Routing Clustering Wireless Sensor Networks.

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