Improvement of cluster head selection in leach protocol of wireless sensor network

WSNs suffer from many issues such as coverage, security, energy-efficiency and localization. Among these issues, energy-efficiency is the most critical, as sensor nodes are battery operated, hence the need to optimize energy. Clustering technique has shown to be more suitable for energy efficiency,...

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Main Author:	Abubakar, Muhammad Zia-Ul-Rahman
Format:	Thesis
Language:	English
Published:	2018
Subjects:	QA75 Electronic computers Computer science
Online Access:	http://eprints.utm.my/id/eprint/78882/1/MuhammadZiaUlRahmanMFC2018.pdf
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spelling	my-utm-ep.788822018-09-17T07:15:54Z Improvement of cluster head selection in leach protocol of wireless sensor network 2018-01 Abubakar, Muhammad Zia-Ul-Rahman QA75 Electronic computers. Computer science WSNs suffer from many issues such as coverage, security, energy-efficiency and localization. Among these issues, energy-efficiency is the most critical, as sensor nodes are battery operated, hence the need to optimize energy. Clustering technique has shown to be more suitable for energy efficiency, which is why LEACH protocol is considered. Despite that, the LEACH algorithm shows some drawbacks in the area of energy efficiency that needs to be enhanced in order to improve its performance. Therefore, since routing, communication and broadcasting between the nodes are done by the cluster heads, a modification in the LEACH algorithm was proposed where the improvement was done in cluster head selection to reduce the energy consumption. In this thesis, unlike the LEACH which uses the residual energy of the entire network, the cluster head selection takes into account the residual energy of each node to calculate the threshold value for next round. The cluster head selection uses a modified stochastic algorithm- the deterministic algorithm which calculates the residual energy of each node after each round to select the node with the highest residual energy as the cluster head. This approach makes the clustering algorithm adaptive to network dynamics as each node is considered to be a cluster head at a point. For simulation, the approach is implemented with LEACH in OMNET++ with Castalia and the results show that there is 3% increase in network lifetime. 2018-01 Thesis http://eprints.utm.my/id/eprint/78882/ http://eprints.utm.my/id/eprint/78882/1/MuhammadZiaUlRahmanMFC2018.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:110817 masters Universiti Teknologi Malaysia, Faculty of Computing Faculty of Computing
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Abubakar, Muhammad Zia-Ul-Rahman Improvement of cluster head selection in leach protocol of wireless sensor network
description	WSNs suffer from many issues such as coverage, security, energy-efficiency and localization. Among these issues, energy-efficiency is the most critical, as sensor nodes are battery operated, hence the need to optimize energy. Clustering technique has shown to be more suitable for energy efficiency, which is why LEACH protocol is considered. Despite that, the LEACH algorithm shows some drawbacks in the area of energy efficiency that needs to be enhanced in order to improve its performance. Therefore, since routing, communication and broadcasting between the nodes are done by the cluster heads, a modification in the LEACH algorithm was proposed where the improvement was done in cluster head selection to reduce the energy consumption. In this thesis, unlike the LEACH which uses the residual energy of the entire network, the cluster head selection takes into account the residual energy of each node to calculate the threshold value for next round. The cluster head selection uses a modified stochastic algorithm- the deterministic algorithm which calculates the residual energy of each node after each round to select the node with the highest residual energy as the cluster head. This approach makes the clustering algorithm adaptive to network dynamics as each node is considered to be a cluster head at a point. For simulation, the approach is implemented with LEACH in OMNET++ with Castalia and the results show that there is 3% increase in network lifetime.
format	Thesis
qualification_level	Master's degree
author	Abubakar, Muhammad Zia-Ul-Rahman
author_facet	Abubakar, Muhammad Zia-Ul-Rahman
author_sort	Abubakar, Muhammad Zia-Ul-Rahman
title	Improvement of cluster head selection in leach protocol of wireless sensor network
title_short	Improvement of cluster head selection in leach protocol of wireless sensor network
title_full	Improvement of cluster head selection in leach protocol of wireless sensor network
title_fullStr	Improvement of cluster head selection in leach protocol of wireless sensor network
title_full_unstemmed	Improvement of cluster head selection in leach protocol of wireless sensor network
title_sort	improvement of cluster head selection in leach protocol of wireless sensor network
granting_institution	Universiti Teknologi Malaysia, Faculty of Computing
granting_department	Faculty of Computing
publishDate	2018
url	http://eprints.utm.my/id/eprint/78882/1/MuhammadZiaUlRahmanMFC2018.pdf
_version_	1747818094568407040

Improvement of cluster head selection in leach protocol of wireless sensor network

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