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A Qualitative Comparison of Different Logical Topologies for Wireless Sensor Networks

Wireless Sensor Networks (WSNs) are formed by a large collection of power-conscious wireless-capable sensors without the support of pre-existing infrastructure, possibly by unplanned deployment. With a sheer number of sensor nodes, their unattended deployment and hostile environment very often precl...

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Detalles Bibliográficos
Autor principal: Mamun, Quazi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3522945/
https://www.ncbi.nlm.nih.gov/pubmed/23202192
http://dx.doi.org/10.3390/s121114887
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author Mamun, Quazi
author_facet Mamun, Quazi
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description Wireless Sensor Networks (WSNs) are formed by a large collection of power-conscious wireless-capable sensors without the support of pre-existing infrastructure, possibly by unplanned deployment. With a sheer number of sensor nodes, their unattended deployment and hostile environment very often preclude reliance on physical configuration or physical topology. It is, therefore, often necessary to depend on the logical topology. Logical topologies govern how a sensor node communicates with other nodes in the network. In this way, logical topologies play a vital role for resource-constraint sensor networks. It is thus more intuitive to approach the constraint minimizing problems from (logical) topological point of view. Hence, this paper aims to study the logical topologies of WSNs. In doing so, a set of performance metrics is identified first. We identify various logical topologies from different application protocols of WSNs, and then compare the topologies using the set of performance metrics.
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spelling pubmed-35229452013-01-09 A Qualitative Comparison of Different Logical Topologies for Wireless Sensor Networks Mamun, Quazi Sensors (Basel) Article Wireless Sensor Networks (WSNs) are formed by a large collection of power-conscious wireless-capable sensors without the support of pre-existing infrastructure, possibly by unplanned deployment. With a sheer number of sensor nodes, their unattended deployment and hostile environment very often preclude reliance on physical configuration or physical topology. It is, therefore, often necessary to depend on the logical topology. Logical topologies govern how a sensor node communicates with other nodes in the network. In this way, logical topologies play a vital role for resource-constraint sensor networks. It is thus more intuitive to approach the constraint minimizing problems from (logical) topological point of view. Hence, this paper aims to study the logical topologies of WSNs. In doing so, a set of performance metrics is identified first. We identify various logical topologies from different application protocols of WSNs, and then compare the topologies using the set of performance metrics. Molecular Diversity Preservation International (MDPI) 2012-11-05 /pmc/articles/PMC3522945/ /pubmed/23202192 http://dx.doi.org/10.3390/s121114887 Text en © 2012 by the authors; licensee MDPI, 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
Mamun, Quazi
A Qualitative Comparison of Different Logical Topologies for Wireless Sensor Networks
title A Qualitative Comparison of Different Logical Topologies for Wireless Sensor Networks
title_full A Qualitative Comparison of Different Logical Topologies for Wireless Sensor Networks
title_fullStr A Qualitative Comparison of Different Logical Topologies for Wireless Sensor Networks
title_full_unstemmed A Qualitative Comparison of Different Logical Topologies for Wireless Sensor Networks
title_short A Qualitative Comparison of Different Logical Topologies for Wireless Sensor Networks
title_sort qualitative comparison of different logical topologies for wireless sensor networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3522945/
https://www.ncbi.nlm.nih.gov/pubmed/23202192
http://dx.doi.org/10.3390/s121114887
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