Integration and analysis of neighbor discovery and link quality estimation in wireless sensor networks

Network connectivity and link quality information are the fundamental requirements of wireless sensor network protocols to perform their desired functionality. Most of the existing discovery protocols have only focused on the neighbor discovery problem, while a few number of them provide an integrat...

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Main Authors: Radi, Marjan, Dezfouli, Behnam, Abu Bakar, Kamalrulnizam, Abd. Razak, Shukor
Format: Article
Language:English
Published: Hindawi Publishing Corporation 2014
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Online Access:http://eprints.utm.my/id/eprint/53209/1/KamalrulnizamAbuBakar2014_IntegrationandAnalysisofNeighborDiscoveryandLink.pdf
http://eprints.utm.my/id/eprint/53209/
http://dx.doi.org/10.1155/2014/789642
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spelling my.utm.532092018-07-19T07:25:26Z http://eprints.utm.my/id/eprint/53209/ Integration and analysis of neighbor discovery and link quality estimation in wireless sensor networks Radi, Marjan Dezfouli, Behnam Abu Bakar, Kamalrulnizam Abd. Razak, Shukor QA75 Electronic computers. Computer science Network connectivity and link quality information are the fundamental requirements of wireless sensor network protocols to perform their desired functionality. Most of the existing discovery protocols have only focused on the neighbor discovery problem, while a few number of them provide an integrated neighbor search and link estimation. As these protocols require a careful parameter adjustment before network deployment, they cannot provide scalable and accurate network initialization in large-scale dense wireless sensor networks with random topology. Furthermore, performance of these protocols has not entirely been evaluated yet. In this paper, we perform a comprehensive simulation study on the efficiency of employing adaptive protocols compared to the existing nonadaptive protocols for initializing sensor networks with random topology. In this regard, we propose adaptive network initialization protocols which integrate the initial neighbor discovery with link quality estimation process to initialize large-scale dense wireless sensor networks without requiring any parameter adjustment before network deployment. To the best of our knowledge, this work is the first attempt to provide a detailed simulation study on the performance of integrated neighbor discovery and link quality estimation protocols for initializing sensor networks. This study can help system designers to determine the most appropriate approach for different applications Hindawi Publishing Corporation 2014 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/53209/1/KamalrulnizamAbuBakar2014_IntegrationandAnalysisofNeighborDiscoveryandLink.pdf Radi, Marjan and Dezfouli, Behnam and Abu Bakar, Kamalrulnizam and Abd. Razak, Shukor (2014) Integration and analysis of neighbor discovery and link quality estimation in wireless sensor networks. Scientific World Journal . ISSN 1537-744X http://dx.doi.org/10.1155/2014/789642 DOI: 10.1155/2014/789642
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
Radi, Marjan
Dezfouli, Behnam
Abu Bakar, Kamalrulnizam
Abd. Razak, Shukor
Integration and analysis of neighbor discovery and link quality estimation in wireless sensor networks
description Network connectivity and link quality information are the fundamental requirements of wireless sensor network protocols to perform their desired functionality. Most of the existing discovery protocols have only focused on the neighbor discovery problem, while a few number of them provide an integrated neighbor search and link estimation. As these protocols require a careful parameter adjustment before network deployment, they cannot provide scalable and accurate network initialization in large-scale dense wireless sensor networks with random topology. Furthermore, performance of these protocols has not entirely been evaluated yet. In this paper, we perform a comprehensive simulation study on the efficiency of employing adaptive protocols compared to the existing nonadaptive protocols for initializing sensor networks with random topology. In this regard, we propose adaptive network initialization protocols which integrate the initial neighbor discovery with link quality estimation process to initialize large-scale dense wireless sensor networks without requiring any parameter adjustment before network deployment. To the best of our knowledge, this work is the first attempt to provide a detailed simulation study on the performance of integrated neighbor discovery and link quality estimation protocols for initializing sensor networks. This study can help system designers to determine the most appropriate approach for different applications
format Article
author Radi, Marjan
Dezfouli, Behnam
Abu Bakar, Kamalrulnizam
Abd. Razak, Shukor
author_facet Radi, Marjan
Dezfouli, Behnam
Abu Bakar, Kamalrulnizam
Abd. Razak, Shukor
author_sort Radi, Marjan
title Integration and analysis of neighbor discovery and link quality estimation in wireless sensor networks
title_short Integration and analysis of neighbor discovery and link quality estimation in wireless sensor networks
title_full Integration and analysis of neighbor discovery and link quality estimation in wireless sensor networks
title_fullStr Integration and analysis of neighbor discovery and link quality estimation in wireless sensor networks
title_full_unstemmed Integration and analysis of neighbor discovery and link quality estimation in wireless sensor networks
title_sort integration and analysis of neighbor discovery and link quality estimation in wireless sensor networks
publisher Hindawi Publishing Corporation
publishDate 2014
url http://eprints.utm.my/id/eprint/53209/1/KamalrulnizamAbuBakar2014_IntegrationandAnalysisofNeighborDiscoveryandLink.pdf
http://eprints.utm.my/id/eprint/53209/
http://dx.doi.org/10.1155/2014/789642
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score 13.188404