Enhanced clustering routing protocol for power-efficient gathering in wireless sensor network

Wireless sensor network (WSN) is a new and fast advancing technology, which is opening up many opportunities in the field of remote sensing and data monitoring. In spite of the numerous applications of WSN, issues related to determining a suitable and accurate radio model that will foster energy con...

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Main Authors: Hussaini, Mukhtar, Bello-Salau, Habeeb, Salami, Abdulazeez F., Anwar, Farhat, Hassan Abdalla Hashim, Aisha, Islam, Md. Rafiqul
Format: Article
Language:English
Published: Kohat University of Science and Technology (KUST), Pakistan 2012
Online Access:http://irep.iium.edu.my/29129/
http://irep.iium.edu.my/29129/
http://irep.iium.edu.my/29129/1/Enhanced_clustering_routine_protocol_101-454-1-PB.pdf
id iium-29129
recordtype eprints
spelling iium-291292019-11-26T07:31:59Z http://irep.iium.edu.my/29129/ Enhanced clustering routing protocol for power-efficient gathering in wireless sensor network Hussaini, Mukhtar Bello-Salau, Habeeb Salami, Abdulazeez F. Anwar, Farhat Hassan Abdalla Hashim, Aisha Islam, Md. Rafiqul Wireless sensor network (WSN) is a new and fast advancing technology, which is opening up many opportunities in the field of remote sensing and data monitoring. In spite of the numerous applications of WSN, issues related to determining a suitable and accurate radio model that will foster energy conservation in the network limit the performance of WSN routing protocols. A number of radio models have been proposed to address this issue. However, the underlying assumptions and inaccurate configuration of these radio models make them impractical and often lead to mismanagement of scarce energy and computational resources. This paper addresses this problem by proposing an enhanced radio model that adapts to the frequent changes in the location of the sensor nodes and is robust enough to report reliable data to the base station despite fluctuations due to interference. The impact of incorporating stepwise energy level and specialized data transmission schemes in the proposed radio model is also investigated in this paper. The performance of the proposed radio model is evaluated using OMNET++ and MATLAB and the results obtained is benchmarked against PEGASIS. It is shown by simulation that the novel LEACH-IMP performs better with respect to energy consumption, number of links faults, number of packets received, signal attenuation, and network lifetime. Kohat University of Science and Technology (KUST), Pakistan 2012-04 Article PeerReviewed application/pdf en http://irep.iium.edu.my/29129/1/Enhanced_clustering_routine_protocol_101-454-1-PB.pdf Hussaini, Mukhtar and Bello-Salau, Habeeb and Salami, Abdulazeez F. and Anwar, Farhat and Hassan Abdalla Hashim, Aisha and Islam, Md. Rafiqul (2012) Enhanced clustering routing protocol for power-efficient gathering in wireless sensor network. International Journal of Communication Networks and Information Security, 4 (1). pp. 18-28. ISSN 2073-607X (O), 2076-0930 (P) https://pdfs.semanticscholar.org/999a/c13c2194ad7c86516177bd6719c49132555a.pdf
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
description Wireless sensor network (WSN) is a new and fast advancing technology, which is opening up many opportunities in the field of remote sensing and data monitoring. In spite of the numerous applications of WSN, issues related to determining a suitable and accurate radio model that will foster energy conservation in the network limit the performance of WSN routing protocols. A number of radio models have been proposed to address this issue. However, the underlying assumptions and inaccurate configuration of these radio models make them impractical and often lead to mismanagement of scarce energy and computational resources. This paper addresses this problem by proposing an enhanced radio model that adapts to the frequent changes in the location of the sensor nodes and is robust enough to report reliable data to the base station despite fluctuations due to interference. The impact of incorporating stepwise energy level and specialized data transmission schemes in the proposed radio model is also investigated in this paper. The performance of the proposed radio model is evaluated using OMNET++ and MATLAB and the results obtained is benchmarked against PEGASIS. It is shown by simulation that the novel LEACH-IMP performs better with respect to energy consumption, number of links faults, number of packets received, signal attenuation, and network lifetime.
format Article
author Hussaini, Mukhtar
Bello-Salau, Habeeb
Salami, Abdulazeez F.
Anwar, Farhat
Hassan Abdalla Hashim, Aisha
Islam, Md. Rafiqul
spellingShingle Hussaini, Mukhtar
Bello-Salau, Habeeb
Salami, Abdulazeez F.
Anwar, Farhat
Hassan Abdalla Hashim, Aisha
Islam, Md. Rafiqul
Enhanced clustering routing protocol for power-efficient gathering in wireless sensor network
author_facet Hussaini, Mukhtar
Bello-Salau, Habeeb
Salami, Abdulazeez F.
Anwar, Farhat
Hassan Abdalla Hashim, Aisha
Islam, Md. Rafiqul
author_sort Hussaini, Mukhtar
title Enhanced clustering routing protocol for power-efficient gathering in wireless sensor network
title_short Enhanced clustering routing protocol for power-efficient gathering in wireless sensor network
title_full Enhanced clustering routing protocol for power-efficient gathering in wireless sensor network
title_fullStr Enhanced clustering routing protocol for power-efficient gathering in wireless sensor network
title_full_unstemmed Enhanced clustering routing protocol for power-efficient gathering in wireless sensor network
title_sort enhanced clustering routing protocol for power-efficient gathering in wireless sensor network
publisher Kohat University of Science and Technology (KUST), Pakistan
publishDate 2012
url http://irep.iium.edu.my/29129/
http://irep.iium.edu.my/29129/
http://irep.iium.edu.my/29129/1/Enhanced_clustering_routine_protocol_101-454-1-PB.pdf
first_indexed 2023-09-18T20:42:45Z
last_indexed 2023-09-18T20:42:45Z
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