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Authordc.contributor.authorInga, Esteban 
Authordc.contributor.authorHincapie, Roberto 
Authordc.contributor.authorCespedes Umaña, Sandra 
Admission datedc.date.accessioned2020-04-22T22:30:38Z
Available datedc.date.available2020-04-22T22:30:38Z
Publication datedc.date.issued2020
Cita de ítemdc.identifier.citationEnergies 2020, 13, 97es_ES
Identifierdc.identifier.other10.3390/en13010097
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/174026
Abstractdc.description.abstractThis paper addresses the planning and deployment of wireless heterogeneous networks (WHNs) for smart metering, based on a cross-layer solution. We combine the constraints of the network layer that considers routing and flow demands at each link in the WHN, while at the same time, we account for the restrictions of the physical layer referred to the capacity of a short range technology when used in a multi-hop fashion. We propose a model based on a column generation approach to solve the capacitated multicommodity flow problem (CMCF); the model includes wireless links capacities, coverage, and cost. The work integrates the multi-hop routing of packets in a mesh network formed by smart meters and concentrators connected to a cellular network via base stations. The traffic of each link is represented in a multigraph with the occupation percentage, and we build a scalable routing tree on a georeferenced map to represent a real deployment. The results describe the behavior of the proposed model in terms of the traffic load per concentrator, the network coverage, and the reduction of energy consumption. We demonstrate that an infrastructure cost reduction is achieved with the inclusion of multi-hop short range technology, which reduces the number of smart meters that require a direct connection to cellular technology. The model guarantees 100% coverage of the smart meters analyzed in each scenario. The calculation time of the CMCF for advanced metering infrastructure (CMCF-AMI) based on the column generation algorithm as the population increases is reduced by 10%, and this is the expected return when the population is considerable.es_ES
Lenguagedc.language.isoenes_ES
Publisherdc.publisherMDPIes_ES
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile*
Link to Licensedc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/*
Sourcedc.sourceEnergieses_ES
Keywordsdc.subjectAdvanced metering infrastructurees_ES
Keywordsdc.subjectCapacitated multicommodity flowes_ES
Keywordsdc.subjectColumn generation problemes_ES
Keywordsdc.subjectSmart meteringes_ES
Keywordsdc.subjectWireless heterogeneous networkses_ES
Títulodc.titleCapacitated multicommodity flow problem for heterogeneous smart electricity metering communications using column generationes_ES
Document typedc.typeArtículo de revistaes_ES
dcterms.accessRightsdcterms.accessRightsAcceso Abierto
Catalogueruchile.catalogadorrvhes_ES
Indexationuchile.indexArtículo de publicación ISI


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Attribution-NonCommercial-NoDerivs 3.0 Chile
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile