Energy Efficient Heterogeneous WNS Clustering Using Machine Learning


View Publication Info
Field Value
Title Energy Efficient Heterogeneous WNS Clustering Using Machine Learning
Creator Maheshwar, Kamini
Veenadhari, Dr. S.
Almelu, Mr
Subject HWSN, Clustering, Energy Efficient.
Description Heterogeneous wireless sensor network (HWSN) fulfills the requirements of researchers in the design of real-life application to resolve the issues of unattended problem. Wireless sensor networks are used in diverse areas such as battlefields, security, hospitals, universities, etc. It has been used in our everyday lives. Its development is rising day by day. Wireless sensor network includes hundreds to thousands of sensor nodes which aid in gathering various information like temperature, sound, location, etc. Recharging or modifying sensor nodes which might have limited battery power is usually difficult. Therefore, energy conservation is a crucial concern in sustaining the network. Clustering the networks is definitely one of the most common solutions for rendering WSNs energy. In this paper,   review and compare different energy-efficient clustering protocols for WSNs
Date 2021-06-24
Type info:eu-repo/semantics/article
Peer-reviewed Article
Format application/pdf
Source SMART MOVES JOURNAL IJOSCIENCE; Volume 7, Issue 6, June 2021; 24-29
Language eng
Rights Copyright (c) 2021 Kamini Maheshwar, Dr. S. Veenadhari , Almelu

Contact Us

The PKP Index is an initiative of the Public Knowledge Project.

For PKP Publishing Services please use the PKP|PS contact form.

For support with PKP software we encourage users to consult our wiki for documentation and search our support forums.

For any other correspondence feel free to contact us using the PKP contact form.

Find Us


Copyright © 2015-2018 Simon Fraser University Library