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An Agenda-Based Routing Protocol in Delay Tolerant Mobile Sensor Networks

Routing in delay tolerant mobile sensor networks (DTMSNs) is challenging due to the networks’ intermittent connectivity. Most existing routing protocols for DTMSNs use simplistic random mobility models for algorithm design and performance evaluation. In the real world, however, due to the unique cha...

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Detalles Bibliográficos
Autores principales: Wang, Xiao-Min, Zhu, Jin-Qi, Liu, Ming, Gong, Hai-Gang
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/PMC3231034/
https://www.ncbi.nlm.nih.gov/pubmed/22163426
http://dx.doi.org/10.3390/s101109564
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author Wang, Xiao-Min
Zhu, Jin-Qi
Liu, Ming
Gong, Hai-Gang
author_facet Wang, Xiao-Min
Zhu, Jin-Qi
Liu, Ming
Gong, Hai-Gang
author_sort Wang, Xiao-Min
collection PubMed
description Routing in delay tolerant mobile sensor networks (DTMSNs) is challenging due to the networks’ intermittent connectivity. Most existing routing protocols for DTMSNs use simplistic random mobility models for algorithm design and performance evaluation. In the real world, however, due to the unique characteristics of human mobility, currently existing random mobility models may not work well in environments where mobile sensor units are carried (such as DTMSNs). Taking a person’s social activities into consideration, in this paper, we seek to improve DTMSN routing in terms of social structure and propose an agenda based routing protocol (ARP). In ARP, humans are classified based on their agendas and data transmission is made according to sensor nodes’ transmission rankings. The effectiveness of ARP is demonstrated through comprehensive simulation studies.
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spelling pubmed-32310342011-12-07 An Agenda-Based Routing Protocol in Delay Tolerant Mobile Sensor Networks Wang, Xiao-Min Zhu, Jin-Qi Liu, Ming Gong, Hai-Gang Sensors (Basel) Article Routing in delay tolerant mobile sensor networks (DTMSNs) is challenging due to the networks’ intermittent connectivity. Most existing routing protocols for DTMSNs use simplistic random mobility models for algorithm design and performance evaluation. In the real world, however, due to the unique characteristics of human mobility, currently existing random mobility models may not work well in environments where mobile sensor units are carried (such as DTMSNs). Taking a person’s social activities into consideration, in this paper, we seek to improve DTMSN routing in terms of social structure and propose an agenda based routing protocol (ARP). In ARP, humans are classified based on their agendas and data transmission is made according to sensor nodes’ transmission rankings. The effectiveness of ARP is demonstrated through comprehensive simulation studies. Molecular Diversity Preservation International (MDPI) 2010-10-28 /pmc/articles/PMC3231034/ /pubmed/22163426 http://dx.doi.org/10.3390/s101109564 Text en © 2010 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/. (http://creativecommons.org/licenses/by/3.0/) )
spellingShingle Article
Wang, Xiao-Min
Zhu, Jin-Qi
Liu, Ming
Gong, Hai-Gang
An Agenda-Based Routing Protocol in Delay Tolerant Mobile Sensor Networks
title An Agenda-Based Routing Protocol in Delay Tolerant Mobile Sensor Networks
title_full An Agenda-Based Routing Protocol in Delay Tolerant Mobile Sensor Networks
title_fullStr An Agenda-Based Routing Protocol in Delay Tolerant Mobile Sensor Networks
title_full_unstemmed An Agenda-Based Routing Protocol in Delay Tolerant Mobile Sensor Networks
title_short An Agenda-Based Routing Protocol in Delay Tolerant Mobile Sensor Networks
title_sort agenda-based routing protocol in delay tolerant mobile sensor networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231034/
https://www.ncbi.nlm.nih.gov/pubmed/22163426
http://dx.doi.org/10.3390/s101109564
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