Offloading Cellular Traffic Through Opportunistic Communications: Analysis and Optimization

Offloading traffic through opportunistic communications has been recently proposed as a way to relieve the current overload of cellular networks. Opportunistic communication can occur when mobile device users are (temporarily) in each other’s proximity, such that the devices can establish a local pe...

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Autores: Sciancalepore, Vincenzo, Giustiniano, Domenico|||0000-0003-3136-4176, Banchs, Albert|||0000-0003-3544-8537, Hossmann-Picu, Andreea
Tipo de recurso: artículo
Fecha de publicación:2016
País:España
Institución:IMDEA Networks Institute
Repositorio:IMDEA Networks Institute Digital Repository
Idioma:inglés
OAI Identifier:oai:dspace.networks.imdea.org:20.500.12761/128
Acceso en línea:http://hdl.handle.net/20.500.12761/128
https://dx.doi.org/DOI: 10.1109/JSAC.2015.2452472
Access Level:acceso abierto
Palabra clave:Cellular traffic offloading
content dissemination
D2D communication
epidemic dissemination
opportunistic communication
optimization analysis
control theory
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spelling Offloading Cellular Traffic Through Opportunistic Communications: Analysis and OptimizationSciancalepore, VincenzoGiustiniano, Domenico|||0000-0003-3136-4176Banchs, Albert|||0000-0003-3544-8537Hossmann-Picu, AndreeaCellular traffic offloadingcontent disseminationD2D communicationepidemic disseminationopportunistic communicationoptimization analysiscontrol theoryOffloading traffic through opportunistic communications has been recently proposed as a way to relieve the current overload of cellular networks. Opportunistic communication can occur when mobile device users are (temporarily) in each other’s proximity, such that the devices can establish a local peer-to-peer connection (e.g., via WLAN or Bluetooth). Since opportunistic communication is based on the spontaneous mobility of the participants, it is inherently unreliable. This poses a serious challenge to the design of any cellular offloading solutions, that must meet the applications’ requirements. In this paper, we address this challenge from an optimization analysis perspective, in contrast to the existing heuristic solutions. We first model the dissemination of content (injected through the cellular interface) in an opportunistic network with heterogeneous node mobility. Then, based on this model, we derive the optimal content injection strategy, which minimizes the load of the cellular network while meeting the applications’constraints. Finally, we propose an adaptive algorithmbased on control theory that implements this optimal strategy without requiring any data on the mobility patterns or the mobile nodes’ contact rates. The proposed approach is extensively evaluated with both a heterogeneous mobility model as well as real-world contact traces, showing that it substantially outperforms previous approaches proposed in the literature.pubIEEE20162016-01-01journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articlehttp://hdl.handle.net/20.500.12761/128https://dx.doi.org/DOI: 10.1109/JSAC.2015.2452472reponame:IMDEA Networks Institute Digital Repositoryinstname:IMDEA Networks InstituteInglésengopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:dspace.networks.imdea.org:20.500.12761/1282026-06-06T12:35:51Z
dc.title.none.fl_str_mv Offloading Cellular Traffic Through Opportunistic Communications: Analysis and Optimization
title Offloading Cellular Traffic Through Opportunistic Communications: Analysis and Optimization
spellingShingle Offloading Cellular Traffic Through Opportunistic Communications: Analysis and Optimization
Sciancalepore, Vincenzo
Cellular traffic offloading
content dissemination
D2D communication
epidemic dissemination
opportunistic communication
optimization analysis
control theory
title_short Offloading Cellular Traffic Through Opportunistic Communications: Analysis and Optimization
title_full Offloading Cellular Traffic Through Opportunistic Communications: Analysis and Optimization
title_fullStr Offloading Cellular Traffic Through Opportunistic Communications: Analysis and Optimization
title_full_unstemmed Offloading Cellular Traffic Through Opportunistic Communications: Analysis and Optimization
title_sort Offloading Cellular Traffic Through Opportunistic Communications: Analysis and Optimization
dc.creator.none.fl_str_mv Sciancalepore, Vincenzo
Giustiniano, Domenico|||0000-0003-3136-4176
Banchs, Albert|||0000-0003-3544-8537
Hossmann-Picu, Andreea
author Sciancalepore, Vincenzo
author_facet Sciancalepore, Vincenzo
Giustiniano, Domenico|||0000-0003-3136-4176
Banchs, Albert|||0000-0003-3544-8537
Hossmann-Picu, Andreea
author_role author
author2 Giustiniano, Domenico|||0000-0003-3136-4176
Banchs, Albert|||0000-0003-3544-8537
Hossmann-Picu, Andreea
author2_role author
author
author
dc.subject.none.fl_str_mv Cellular traffic offloading
content dissemination
D2D communication
epidemic dissemination
opportunistic communication
optimization analysis
control theory
topic Cellular traffic offloading
content dissemination
D2D communication
epidemic dissemination
opportunistic communication
optimization analysis
control theory
description Offloading traffic through opportunistic communications has been recently proposed as a way to relieve the current overload of cellular networks. Opportunistic communication can occur when mobile device users are (temporarily) in each other’s proximity, such that the devices can establish a local peer-to-peer connection (e.g., via WLAN or Bluetooth). Since opportunistic communication is based on the spontaneous mobility of the participants, it is inherently unreliable. This poses a serious challenge to the design of any cellular offloading solutions, that must meet the applications’ requirements. In this paper, we address this challenge from an optimization analysis perspective, in contrast to the existing heuristic solutions. We first model the dissemination of content (injected through the cellular interface) in an opportunistic network with heterogeneous node mobility. Then, based on this model, we derive the optimal content injection strategy, which minimizes the load of the cellular network while meeting the applications’constraints. Finally, we propose an adaptive algorithmbased on control theory that implements this optimal strategy without requiring any data on the mobility patterns or the mobile nodes’ contact rates. The proposed approach is extensively evaluated with both a heterogeneous mobility model as well as real-world contact traces, showing that it substantially outperforms previous approaches proposed in the literature.
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/20.500.12761/128
https://dx.doi.org/DOI: 10.1109/JSAC.2015.2452472
url http://hdl.handle.net/20.500.12761/128
https://dx.doi.org/DOI: 10.1109/JSAC.2015.2452472
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv reponame:IMDEA Networks Institute Digital Repository
instname:IMDEA Networks Institute
instname_str IMDEA Networks Institute
reponame_str IMDEA Networks Institute Digital Repository
collection IMDEA Networks Institute Digital Repository
repository.name.fl_str_mv
repository.mail.fl_str_mv
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