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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)
TK Electrical engineering. Electronics Nuclear engineering
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
http://eprints.utem.edu.my/id/eprint/26042/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=121180
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spelling my.utem.eprints.260422022-09-29T12:48:19Z http://eprints.utem.edu.my/id/eprint/26042/ An improved energy-efficient clustering protocol to prolong the wireless sensor network lifetime 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 NonPeerReviewed text en 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 http://eprints.utem.edu.my/id/eprint/26042/2/An%20improved%20energy-efficient%20clustering%20protocol%20to%20prolong%20the%20wireless%20sensor%20network%20lifetime.pdf Alhmood, Ali Abdul-Hussian Hassan (2021) An improved energy-efficient clustering protocol to prolong the wireless sensor network lifetime. Doctoral thesis, Universiti Teknikal Malaysia Melaka. https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=121180
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
English
topic T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TK Electrical engineering. Electronics Nuclear engineering
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
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
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
http://eprints.utem.edu.my/id/eprint/26042/
https://plh.utem.edu.my/cgi-bin/koha/opac-detail.pl?biblionumber=121180
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score 13.211869

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