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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
http://eprints.utm.my/id/eprint/78882/
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spelling my.utm.788822018-09-17T07:15:54Z http://eprints.utm.my/id/eprint/78882/ Improvement of cluster head selection in leach protocol of wireless sensor network 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 NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/78882/1/MuhammadZiaUlRahmanMFC2018.pdf Abubakar, Muhammad Zia-Ul-Rahman (2018) Improvement of cluster head selection in leach protocol of wireless sensor network. Masters thesis, Universiti Teknologi Malaysia, Faculty of Computing. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:110817
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
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
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
publishDate 2018
url http://eprints.utm.my/id/eprint/78882/1/MuhammadZiaUlRahmanMFC2018.pdf
http://eprints.utm.my/id/eprint/78882/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:110817
_version_ 1643658033540104192
score 13.211869

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