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Secure Adaptive Topology Control for Wireless Ad-Hoc Sensor Networks

This paper presents a secure decentralized clustering algorithm for wireless ad-hoc sensor networks. The algorithm operates without a centralized controller, operates asynchronously, and does not require that the location of the sensors be known a priori. Based on the cluster-based topology, secure...

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Detalles Bibliográficos
Autores principales: Hsueh, Ching-Tsung, Li, Yu-Wei, Wen, Chih-Yu, Ouyang, Yen-Chieh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3244012/
https://www.ncbi.nlm.nih.gov/pubmed/22205866
http://dx.doi.org/10.3390/s100201251
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author Hsueh, Ching-Tsung
Li, Yu-Wei
Wen, Chih-Yu
Ouyang, Yen-Chieh
author_facet Hsueh, Ching-Tsung
Li, Yu-Wei
Wen, Chih-Yu
Ouyang, Yen-Chieh
author_sort Hsueh, Ching-Tsung
collection PubMed
description This paper presents a secure decentralized clustering algorithm for wireless ad-hoc sensor networks. The algorithm operates without a centralized controller, operates asynchronously, and does not require that the location of the sensors be known a priori. Based on the cluster-based topology, secure hierarchical communication protocols and dynamic quarantine strategies are introduced to defend against spam attacks, since this type of attacks can exhaust the energy of sensor nodes and will shorten the lifetime of a sensor network drastically. By adjusting the threshold of infected percentage of the cluster coverage, our scheme can dynamically coordinate the proportion of the quarantine region and adaptively achieve the cluster control and the neighborhood control of attacks. Simulation results show that the proposed approach is feasible and cost effective for wireless sensor networks.
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spelling pubmed-32440122011-12-28 Secure Adaptive Topology Control for Wireless Ad-Hoc Sensor Networks Hsueh, Ching-Tsung Li, Yu-Wei Wen, Chih-Yu Ouyang, Yen-Chieh Sensors (Basel) Article This paper presents a secure decentralized clustering algorithm for wireless ad-hoc sensor networks. The algorithm operates without a centralized controller, operates asynchronously, and does not require that the location of the sensors be known a priori. Based on the cluster-based topology, secure hierarchical communication protocols and dynamic quarantine strategies are introduced to defend against spam attacks, since this type of attacks can exhaust the energy of sensor nodes and will shorten the lifetime of a sensor network drastically. By adjusting the threshold of infected percentage of the cluster coverage, our scheme can dynamically coordinate the proportion of the quarantine region and adaptively achieve the cluster control and the neighborhood control of attacks. Simulation results show that the proposed approach is feasible and cost effective for wireless sensor networks. Molecular Diversity Preservation International (MDPI) 2010-02-03 /pmc/articles/PMC3244012/ /pubmed/22205866 http://dx.doi.org/10.3390/s100201251 Text en © 2010 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Hsueh, Ching-Tsung
Li, Yu-Wei
Wen, Chih-Yu
Ouyang, Yen-Chieh
Secure Adaptive Topology Control for Wireless Ad-Hoc Sensor Networks
title Secure Adaptive Topology Control for Wireless Ad-Hoc Sensor Networks
title_full Secure Adaptive Topology Control for Wireless Ad-Hoc Sensor Networks
title_fullStr Secure Adaptive Topology Control for Wireless Ad-Hoc Sensor Networks
title_full_unstemmed Secure Adaptive Topology Control for Wireless Ad-Hoc Sensor Networks
title_short Secure Adaptive Topology Control for Wireless Ad-Hoc Sensor Networks
title_sort secure adaptive topology control for wireless ad-hoc sensor networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3244012/
https://www.ncbi.nlm.nih.gov/pubmed/22205866
http://dx.doi.org/10.3390/s100201251
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