An improved energy-efficient clustering protocol to prolong the wireless sensor network lifetime

A wireless sensor network (WSN) is an important part of the Internet of Things (IoT). However, sensor nodes of a WSN-based IoT network are constraining with the energy resources. A clustering protocol provides an efficient solution to ensure energy saving of nodes and prolong the network lifetime by...

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Main Author:	Alhmood, Ali Abdul-Hussian Hassan
Format:	Thesis
Language:	English English
Published:	2021
Subjects:	T Technology (General)
Online Access:	http://eprints.utem.edu.my/id/eprint/26042/1/An%20improved%20energy-efficient%20clustering%20protocol%20to%20prolong%20the%20wireless%20sensor%20network%20lifetime.pdf http://eprints.utem.edu.my/id/eprint/26042/2/An%20improved%20energy-efficient%20clustering%20protocol%20to%20prolong%20the%20wireless%20sensor%20network%20lifetime.pdf
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spelling	my-utem-ep.260422022-09-29T12:48:19Z An improved energy-efficient clustering protocol to prolong the wireless sensor network lifetime 2021 Alhmood, Ali Abdul-Hussian Hassan T Technology (General) TK Electrical engineering. Electronics Nuclear engineering A wireless sensor network (WSN) is an important part of the Internet of Things (IoT). However, sensor nodes of a WSN-based IoT network are constraining with the energy resources. A clustering protocol provides an efficient solution to ensure energy saving of nodes and prolong the network lifetime by organizing nodes into clusters to reduce the transmission distance between the nodes and base station (BS). However, existing clustering protocols suffer from issues concerning the clustering structure that adversely affects the performance of these protocols. In this study, we propose an Improved Energy-Efficient Clustering Protocol (IEECP) to prolong the lifetime of the WSN. The proposed IEECP consists of three sequential parts. First, an optimal number of clusters is determined for the overlapping balanced clusters. Then, the balanced-static clusters are formed on the basis of a modified Fuzzy C-means algorithm by integrating this algorithm with a centralized mechanism to reduce and balance the energy consumption of the nodes. Lastly, cluster heads (CHs) are selected in optimal locations with the rotation of the CH function among members of the cluster based on a new CH selection-rotation algorithm by combining a back-off timer mechanism for CH selection and rotation mechanism for CH rotation. In particular, the proposed protocol reduces and balances the energy consumption of nodes by improving the clustering structure, where IEECP is suitable for networks that require a long lifetime. The simulation results prove that the IEECP prolongs the network lifetime better than Energy efficient clustering protocol based on K-means (EECPK-means)-midpoint algorithm (EECPK-means), Traffic-Aware Channel Access Algorithm (TACAA), and an optimal clustering mechanism based on Fuzzy C-means (OCM–FCM) protocols based on the First node die and Weighted first node die. Furthermore, IEECP performs better than the above protocols in terms of the energy dissipation in the network and the number of messages received by BS. 2021 Thesis http://eprints.utem.edu.my/id/eprint/26042/ http://eprints.utem.edu.my/id/eprint/26042/1/An%20improved%20energy-efficient%20clustering%20protocol%20to%20prolong%20the%20wireless%20sensor%20network%20lifetime.pdf text en public http://eprints.utem.edu.my/id/eprint/26042/2/An%20improved%20energy-efficient%20clustering%20protocol%20to%20prolong%20the%20wireless%20sensor%20network%20lifetime.pdf text en validuser https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=121180 phd doctoral Universiti Teknikal Malaysia Melaka Faculty of Information and Communication Technology Md Shah, Wahidah
institution	Universiti Teknikal Malaysia Melaka
collection	UTeM Repository
language	English English
advisor	Md Shah, Wahidah
topic	T Technology (General) T Technology (General)
spellingShingle	T Technology (General) T Technology (General) Alhmood, Ali Abdul-Hussian Hassan An improved energy-efficient clustering protocol to prolong the wireless sensor network lifetime
description	A wireless sensor network (WSN) is an important part of the Internet of Things (IoT). However, sensor nodes of a WSN-based IoT network are constraining with the energy resources. A clustering protocol provides an efficient solution to ensure energy saving of nodes and prolong the network lifetime by organizing nodes into clusters to reduce the transmission distance between the nodes and base station (BS). However, existing clustering protocols suffer from issues concerning the clustering structure that adversely affects the performance of these protocols. In this study, we propose an Improved Energy-Efficient Clustering Protocol (IEECP) to prolong the lifetime of the WSN. The proposed IEECP consists of three sequential parts. First, an optimal number of clusters is determined for the overlapping balanced clusters. Then, the balanced-static clusters are formed on the basis of a modified Fuzzy C-means algorithm by integrating this algorithm with a centralized mechanism to reduce and balance the energy consumption of the nodes. Lastly, cluster heads (CHs) are selected in optimal locations with the rotation of the CH function among members of the cluster based on a new CH selection-rotation algorithm by combining a back-off timer mechanism for CH selection and rotation mechanism for CH rotation. In particular, the proposed protocol reduces and balances the energy consumption of nodes by improving the clustering structure, where IEECP is suitable for networks that require a long lifetime. The simulation results prove that the IEECP prolongs the network lifetime better than Energy efficient clustering protocol based on K-means (EECPK-means)-midpoint algorithm (EECPK-means), Traffic-Aware Channel Access Algorithm (TACAA), and an optimal clustering mechanism based on Fuzzy C-means (OCM–FCM) protocols based on the First node die and Weighted first node die. Furthermore, IEECP performs better than the above protocols in terms of the energy dissipation in the network and the number of messages received by BS.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Alhmood, Ali Abdul-Hussian Hassan
author_facet	Alhmood, Ali Abdul-Hussian Hassan
author_sort	Alhmood, Ali Abdul-Hussian Hassan
title	An improved energy-efficient clustering protocol to prolong the wireless sensor network lifetime
title_short	An improved energy-efficient clustering protocol to prolong the wireless sensor network lifetime
title_full	An improved energy-efficient clustering protocol to prolong the wireless sensor network lifetime
title_fullStr	An improved energy-efficient clustering protocol to prolong the wireless sensor network lifetime
title_full_unstemmed	An improved energy-efficient clustering protocol to prolong the wireless sensor network lifetime
title_sort	improved energy-efficient clustering protocol to prolong the wireless sensor network lifetime
granting_institution	Universiti Teknikal Malaysia Melaka
granting_department	Faculty of Information and Communication Technology
publishDate	2021
url	http://eprints.utem.edu.my/id/eprint/26042/1/An%20improved%20energy-efficient%20clustering%20protocol%20to%20prolong%20the%20wireless%20sensor%20network%20lifetime.pdf http://eprints.utem.edu.my/id/eprint/26042/2/An%20improved%20energy-efficient%20clustering%20protocol%20to%20prolong%20the%20wireless%20sensor%20network%20lifetime.pdf
_version_	1747834159795011584

An improved energy-efficient clustering protocol to prolong the wireless sensor network lifetime

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