Predicting topology propagation messages in mobile ad hoc networks: The value of history

Autores
Millán, Pere; Aliagas, Carles; Molina, Carlos; Meseguer, Roc; Ochoa, Sergio F.; Santos, Rodrigo Martin
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The mobile ad hoc communication in highly dynamic scenarios, like urban evacuations or search-and-rescue processes, plays a key role in coordinating the activities performed by the participants. Particularly, counting on message routing enhances the communication capability among these actors. Given the high dynamism of these networks and their low bandwidth, having mechanisms to predict the network topology offers several potential advantages; e.g., to reduce the number of topology propagation messages delivered through the network, the consumption of resources in the nodes and the amount of redundant retransmissions. Most strategies reported in the literature to perform these predictions are limited to support high mobility, consume a large amount of resources or require training. In order to contribute towards addressing that challenge, this paper presents a history-based predictor (HBP), which is a prediction strategy based on the assumption that some topological changes in these networks have happened before in the past, therefore, the predictor can take advantage of these patterns following a simple and low-cost approach. The article extends a previous proposal of the authors and evaluates its impact in highly mobile scenarios through the implementation of a real predictor for the optimized link state routing (OLSR) protocol. The use of this predictor, named OLSR-HBP, shows a reduction of 40–55% of topology propagation messages compared to the regular OLSR protocol. Moreover, the use of this predictor has a low cost in terms of CPU and memory consumption, and it can also be used with other routing protocols.
Fil: Millán, Pere. Universitat Rovira I Virgili; España
Fil: Aliagas, Carles. Universitat Rovira I Virgili; España
Fil: Molina, Carlos. Universitat Rovira I Virgili; España
Fil: Meseguer, Roc. Universidad Politécnica de Catalunya; España
Fil: Ochoa, Sergio F.. Universidad de Chile; Chile
Fil: Santos, Rodrigo Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; Argentina. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; Argentina
Materia
HISTORY-BASED PREDICTION
MOBILE AD HOC NETWORKS
NETWORK TOPOLOGY PREDICTION MESSAGES
URBAN EMERGENCIES
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/118258
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Predicting topology propagation messages in mobile ad hoc networks: The value of historyMillán, PereAliagas, CarlesMolina, CarlosMeseguer, RocOchoa, Sergio F.Santos, Rodrigo MartinHISTORY-BASED PREDICTIONMOBILE AD HOC NETWORKSNETWORK TOPOLOGY PREDICTION MESSAGESURBAN EMERGENCIEShttps://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1The mobile ad hoc communication in highly dynamic scenarios, like urban evacuations or search-and-rescue processes, plays a key role in coordinating the activities performed by the participants. Particularly, counting on message routing enhances the communication capability among these actors. Given the high dynamism of these networks and their low bandwidth, having mechanisms to predict the network topology offers several potential advantages; e.g., to reduce the number of topology propagation messages delivered through the network, the consumption of resources in the nodes and the amount of redundant retransmissions. Most strategies reported in the literature to perform these predictions are limited to support high mobility, consume a large amount of resources or require training. In order to contribute towards addressing that challenge, this paper presents a history-based predictor (HBP), which is a prediction strategy based on the assumption that some topological changes in these networks have happened before in the past, therefore, the predictor can take advantage of these patterns following a simple and low-cost approach. The article extends a previous proposal of the authors and evaluates its impact in highly mobile scenarios through the implementation of a real predictor for the optimized link state routing (OLSR) protocol. The use of this predictor, named OLSR-HBP, shows a reduction of 40–55% of topology propagation messages compared to the regular OLSR protocol. Moreover, the use of this predictor has a low cost in terms of CPU and memory consumption, and it can also be used with other routing protocols.Fil: Millán, Pere. Universitat Rovira I Virgili; EspañaFil: Aliagas, Carles. Universitat Rovira I Virgili; EspañaFil: Molina, Carlos. Universitat Rovira I Virgili; EspañaFil: Meseguer, Roc. Universidad Politécnica de Catalunya; EspañaFil: Ochoa, Sergio F.. Universidad de Chile; ChileFil: Santos, Rodrigo Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; Argentina. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; ArgentinaMolecular Diversity Preservation International2020-01-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/118258Millán, Pere; Aliagas, Carles; Molina, Carlos; Meseguer, Roc; Ochoa, Sergio F.; et al.; Predicting topology propagation messages in mobile ad hoc networks: The value of history; Molecular Diversity Preservation International; Sensors; 20; 1; 19-1-2020; 1-241424-8220CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/1424-8220/20/1/24info:eu-repo/semantics/altIdentifier/doi/10.3390/s20010024info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:57:01Zoai:ri.conicet.gov.ar:11336/118258instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:57:01.486CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Predicting topology propagation messages in mobile ad hoc networks: The value of history
title Predicting topology propagation messages in mobile ad hoc networks: The value of history
spellingShingle Predicting topology propagation messages in mobile ad hoc networks: The value of history
Millán, Pere
HISTORY-BASED PREDICTION
MOBILE AD HOC NETWORKS
NETWORK TOPOLOGY PREDICTION MESSAGES
URBAN EMERGENCIES
title_short Predicting topology propagation messages in mobile ad hoc networks: The value of history
title_full Predicting topology propagation messages in mobile ad hoc networks: The value of history
title_fullStr Predicting topology propagation messages in mobile ad hoc networks: The value of history
title_full_unstemmed Predicting topology propagation messages in mobile ad hoc networks: The value of history
title_sort Predicting topology propagation messages in mobile ad hoc networks: The value of history
dc.creator.none.fl_str_mv Millán, Pere
Aliagas, Carles
Molina, Carlos
Meseguer, Roc
Ochoa, Sergio F.
Santos, Rodrigo Martin
author Millán, Pere
author_facet Millán, Pere
Aliagas, Carles
Molina, Carlos
Meseguer, Roc
Ochoa, Sergio F.
Santos, Rodrigo Martin
author_role author
author2 Aliagas, Carles
Molina, Carlos
Meseguer, Roc
Ochoa, Sergio F.
Santos, Rodrigo Martin
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv HISTORY-BASED PREDICTION
MOBILE AD HOC NETWORKS
NETWORK TOPOLOGY PREDICTION MESSAGES
URBAN EMERGENCIES
topic HISTORY-BASED PREDICTION
MOBILE AD HOC NETWORKS
NETWORK TOPOLOGY PREDICTION MESSAGES
URBAN EMERGENCIES
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The mobile ad hoc communication in highly dynamic scenarios, like urban evacuations or search-and-rescue processes, plays a key role in coordinating the activities performed by the participants. Particularly, counting on message routing enhances the communication capability among these actors. Given the high dynamism of these networks and their low bandwidth, having mechanisms to predict the network topology offers several potential advantages; e.g., to reduce the number of topology propagation messages delivered through the network, the consumption of resources in the nodes and the amount of redundant retransmissions. Most strategies reported in the literature to perform these predictions are limited to support high mobility, consume a large amount of resources or require training. In order to contribute towards addressing that challenge, this paper presents a history-based predictor (HBP), which is a prediction strategy based on the assumption that some topological changes in these networks have happened before in the past, therefore, the predictor can take advantage of these patterns following a simple and low-cost approach. The article extends a previous proposal of the authors and evaluates its impact in highly mobile scenarios through the implementation of a real predictor for the optimized link state routing (OLSR) protocol. The use of this predictor, named OLSR-HBP, shows a reduction of 40–55% of topology propagation messages compared to the regular OLSR protocol. Moreover, the use of this predictor has a low cost in terms of CPU and memory consumption, and it can also be used with other routing protocols.
Fil: Millán, Pere. Universitat Rovira I Virgili; España
Fil: Aliagas, Carles. Universitat Rovira I Virgili; España
Fil: Molina, Carlos. Universitat Rovira I Virgili; España
Fil: Meseguer, Roc. Universidad Politécnica de Catalunya; España
Fil: Ochoa, Sergio F.. Universidad de Chile; Chile
Fil: Santos, Rodrigo Martin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Ciencias e Ingeniería de la Computación. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación. Instituto de Ciencias e Ingeniería de la Computación; Argentina. Universidad Nacional del Sur. Departamento de Ingeniería Eléctrica y de Computadoras; Argentina
description The mobile ad hoc communication in highly dynamic scenarios, like urban evacuations or search-and-rescue processes, plays a key role in coordinating the activities performed by the participants. Particularly, counting on message routing enhances the communication capability among these actors. Given the high dynamism of these networks and their low bandwidth, having mechanisms to predict the network topology offers several potential advantages; e.g., to reduce the number of topology propagation messages delivered through the network, the consumption of resources in the nodes and the amount of redundant retransmissions. Most strategies reported in the literature to perform these predictions are limited to support high mobility, consume a large amount of resources or require training. In order to contribute towards addressing that challenge, this paper presents a history-based predictor (HBP), which is a prediction strategy based on the assumption that some topological changes in these networks have happened before in the past, therefore, the predictor can take advantage of these patterns following a simple and low-cost approach. The article extends a previous proposal of the authors and evaluates its impact in highly mobile scenarios through the implementation of a real predictor for the optimized link state routing (OLSR) protocol. The use of this predictor, named OLSR-HBP, shows a reduction of 40–55% of topology propagation messages compared to the regular OLSR protocol. Moreover, the use of this predictor has a low cost in terms of CPU and memory consumption, and it can also be used with other routing protocols.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-19
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/118258
Millán, Pere; Aliagas, Carles; Molina, Carlos; Meseguer, Roc; Ochoa, Sergio F.; et al.; Predicting topology propagation messages in mobile ad hoc networks: The value of history; Molecular Diversity Preservation International; Sensors; 20; 1; 19-1-2020; 1-24
1424-8220
CONICET Digital
CONICET
url http://hdl.handle.net/11336/118258
identifier_str_mv Millán, Pere; Aliagas, Carles; Molina, Carlos; Meseguer, Roc; Ochoa, Sergio F.; et al.; Predicting topology propagation messages in mobile ad hoc networks: The value of history; Molecular Diversity Preservation International; Sensors; 20; 1; 19-1-2020; 1-24
1424-8220
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/1424-8220/20/1/24
info:eu-repo/semantics/altIdentifier/doi/10.3390/s20010024
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Molecular Diversity Preservation International
publisher.none.fl_str_mv Molecular Diversity Preservation International
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397

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