dc.contributor.advisor | Hincapié Reyes, Roberto Carlos | |
dc.contributor.author | Inga Ortega, Esteban Mauricio | |
dc.coverage.spatial | Seccional Medellín. Universidad Pontificia Bolivariana. Escuela de Ingeniarías. Doctorado en Ingeniería - Área Telecomunicaciones. | spa |
dc.date.accessioned | 2017-11-23T19:28:56Z | |
dc.date.available | 2017-11-23T19:28:56Z | |
dc.date.issued | 2017 | |
dc.identifier.uri | http://hdl.handle.net/20.500.11912/3507 | |
dc.description | 155 páginas | spa |
dc.description.abstract | This work presents a scalable route map for the least cost deployment of wireless heterogeneous networks that support traffic from the advance metering infrastructure (AMI). In this case, The first step explore the performance of a common scenario in which a single technology is employed to connect smart meters sending traffic to the utility. Based on simulations with current
city maps, we study the coverage provided to smart meters by a cellular and wifi network.
In order to improve the coverage, an optimization model that considers network capacity and range is proposed to determine the optimal location of concentrators to achieve the target coverage of smart meters. According to these preliminary results with a single access technology, this work proposes an evolved network architecture that considers several heterogeneous wireless networks to guarantee the coverage to smart meterswith the least use of resources.
This work introduces a heuristic model that involves elements from base stations, universal data aggregation points, number of smart meters, and an optimal routing to achieve the desired connectivity from the group of smart meters. This research employs georeferenced and non georeferenced models to consider characteristics of cities as well as geographical conditions.
Results from the evolved model demonstrate that by combining technologies and employing data aggregation points with optimized localizations, the network is able to achieve the target coverage of smart meters with a reduced cost in terms of technological resources. | spa |
dc.format.mimetype | application/pdf | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.title | Planeación óptima para despliegue de redes inalámbricas heterogéneas en la infraestructura de medición avanzada requerida por Smart Grid | spa |
dc.type | doctoralThesis | spa |
dc.rights.accessRights | openAccess | spa |
dc.type.hasVersion | publishedVersion | spa |
dc.identifier.instname | instname:Universidad Pontificia Bolivariana | spa |
dc.identifier.reponame | reponame:Repositorio Institucional de la Universidad Pontificia Bolivariana | spa |
dc.identifier.repourl | repourl:https://repository.unab.edu.co/ | |