Energy-Aware Clustering Routing for Mobile Ad-Hoc Sensor Networks (MASNETS)

Energy efficient operation is often critical for Mobile ad-hoc sensor networks (MASNETs), because sensor network nodes operate on limited batteries. There are many potential applications of MASNETs such as military sensor networks to detect and gather information about enemy movements and some senso...

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Main Author:	Amanda, Hendrick
Format:	Thesis
Language:	English
Published:	2020
Subjects:	QA75 Electronic computers Computer science
Online Access:	http://ir.unimas.my/id/eprint/29003/1/Amanda%20Hendrick%20ft.pdf
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id	my-unimas-ir.29003
record_format	uketd_dc
spelling	my-unimas-ir.290032023-03-06T07:53:46Z Energy-Aware Clustering Routing for Mobile Ad-Hoc Sensor Networks (MASNETS) 2020-02-17 Amanda, Hendrick QA75 Electronic computers. Computer science Z665 Library Science. Information Science Energy efficient operation is often critical for Mobile ad-hoc sensor networks (MASNETs), because sensor network nodes operate on limited batteries. There are many potential applications of MASNETs such as military sensor networks to detect and gather information about enemy movements and some sensor nodes are also mounted on animals or other moving objects, which can sense and collect information such as body temperature. If this information is not properly handled, energy can be wasted due to the changes in network topology. Hence, an efficient and energy-aware clustering routing is required to reduce energy consumption and reliably transmit data to the sink node in the event of frequent topology changes in energy-constrained MASNETs. Clustering is one of the techniques that offer effective ways to prolong the lifetime of the resource constrained sensor networks. The aim of this thesis is to reduce the energy consumption and increase the total packet received in MASNETs. Based on the benchmark identified called Hybrid energy-efficient distributed (HEED) clustering routing, Avrora simulator is used to further energy-efficiency enhancements. This Enhance Intra-Cluster HEED (EICHEED) proposed an adaptive routing that are suitable for MASNETs. Different experiments have been done using different parameters and numbers of results have been achieved to analyze the performance of algorithm. The simulations show that the new enhancement of the HEED; EICHEED is energy efficient and prolongs the network lifetime. Keywords: MASNETs, energy efficiency, clustering Universiti Malaysia Sarawak, (UNIMAS) 2020-02 Thesis http://ir.unimas.my/id/eprint/29003/ http://ir.unimas.my/id/eprint/29003/1/Amanda%20Hendrick%20ft.pdf text en validuser masters Universiti Malaysia Sarawak Faculty of Computer Science & Information Technology
institution	Universiti Malaysia Sarawak
collection	UNIMAS Institutional Repository
language	English
topic	QA75 Electronic computers Computer science QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science QA75 Electronic computers Computer science Amanda, Hendrick Energy-Aware Clustering Routing for Mobile Ad-Hoc Sensor Networks (MASNETS)
description	Energy efficient operation is often critical for Mobile ad-hoc sensor networks (MASNETs), because sensor network nodes operate on limited batteries. There are many potential applications of MASNETs such as military sensor networks to detect and gather information about enemy movements and some sensor nodes are also mounted on animals or other moving objects, which can sense and collect information such as body temperature. If this information is not properly handled, energy can be wasted due to the changes in network topology. Hence, an efficient and energy-aware clustering routing is required to reduce energy consumption and reliably transmit data to the sink node in the event of frequent topology changes in energy-constrained MASNETs. Clustering is one of the techniques that offer effective ways to prolong the lifetime of the resource constrained sensor networks. The aim of this thesis is to reduce the energy consumption and increase the total packet received in MASNETs. Based on the benchmark identified called Hybrid energy-efficient distributed (HEED) clustering routing, Avrora simulator is used to further energy-efficiency enhancements. This Enhance Intra-Cluster HEED (EICHEED) proposed an adaptive routing that are suitable for MASNETs. Different experiments have been done using different parameters and numbers of results have been achieved to analyze the performance of algorithm. The simulations show that the new enhancement of the HEED; EICHEED is energy efficient and prolongs the network lifetime. Keywords: MASNETs, energy efficiency, clustering
format	Thesis
qualification_level	Master's degree
author	Amanda, Hendrick
author_facet	Amanda, Hendrick
author_sort	Amanda, Hendrick
title	Energy-Aware Clustering Routing for Mobile Ad-Hoc Sensor Networks (MASNETS)
title_short	Energy-Aware Clustering Routing for Mobile Ad-Hoc Sensor Networks (MASNETS)
title_full	Energy-Aware Clustering Routing for Mobile Ad-Hoc Sensor Networks (MASNETS)
title_fullStr	Energy-Aware Clustering Routing for Mobile Ad-Hoc Sensor Networks (MASNETS)
title_full_unstemmed	Energy-Aware Clustering Routing for Mobile Ad-Hoc Sensor Networks (MASNETS)
title_sort	energy-aware clustering routing for mobile ad-hoc sensor networks (masnets)
granting_institution	Universiti Malaysia Sarawak
granting_department	Faculty of Computer Science & Information Technology
publishDate	2020
url	http://ir.unimas.my/id/eprint/29003/1/Amanda%20Hendrick%20ft.pdf
_version_	1783728366832058368

Energy-Aware Clustering Routing for Mobile Ad-Hoc Sensor Networks (MASNETS)

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