Multiobjective formulation for last-mile optimization in wireless networks

Internet of Things (IoT) is a technology that serves as the basis for smart environments. The ever-expanding set of applications that provide intelligence in different scenarios is continually growing and expanding. From precision agriculture to the development of sustainable smart cities, the need...

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Autores principales: Marenco, Javier, Micheletto, Matías, Santos, Rodrigo M.
Formato: Documento de conferencia publishedVersion
Lenguaje:Español
Inglés
Publicado: IEEE 2023
Materias:
Optimization
Real-time
Wireless Network
Internet of Things (IoT)
Internet de las cosas
Precision agriculture
Smart cities
Smart environments
Applications
Aplicaciones
Combinatorial optimization problem
Multiobjective integer linear programming model
Number of gateways, used energy, and transmission time
Optimization framework
Acceso en línea:https://repositorio.utdt.edu/handle/20.500.13098/12236
https://doi.org/10.1109/CLEI60451.2023.10346177
Aporte de:
Repositorio Digital Universidad Torcuato Di Tella de Universidad Torcuato Di Tella
id I57-R163-20.500.13098-12236
record_format dspace
spelling I57-R163-20.500.13098-122362023-12-22T07:00:20Z Multiobjective formulation for last-mile optimization in wireless networks Marenco, Javier Micheletto, Matías Santos, Rodrigo M. Optimization Real-time Wireless Network Internet of Things (IoT) Internet de las cosas Precision agriculture Smart cities Smart environments Applications Aplicaciones Combinatorial optimization problem Multiobjective integer linear programming model Number of gateways, used energy, and transmission time Optimization framework Internet of Things (IoT) is a technology that serves as the basis for smart environments. The ever-expanding set of applications that provide intelligence in different scenarios is continually growing and expanding. From precision agriculture to the development of sustainable smart cities, the need to have a communications infrastructure that allows the connectivity of sensors, actuators, and users becomes essential. In what is known as the “last mile,” wireless networks are the fastest growing group. For these to be operational, it is necessary to connect them to the Internet through gateways. These gateways handle different communication technologies and are therefore expensive nodes to install and maintain. Defining their location and their ability to “route” messages involves a combinatorial optimization problem. In this work in progress, a multiobjective integer linear programming model (minimizing number of gateways, used energy, and transmission time) is presented. To the best of our knowledge, previous literature does not include any optimization framework encompassing all these three objectives together. Publicado en 2023 XLIX Latin American Computer Conference (CLEI) 2023-12-21T20:14:34Z 2023-12-21T20:14:34Z 2023 info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion https://repositorio.utdt.edu/handle/20.500.13098/12236 https://doi.org/10.1109/CLEI60451.2023.10346177 spa eng https://ieeexplore.ieee.org/xpl/conhome/10346085/proceeding info:eu-repo/semantics/restrictedAccess http://rightsstatements.org/page/InC/1.0/?language=es 5 p. application/pdf application/pdf IEEE 2023 XLIX Latin American Computer Conference (CLEI)
institution Universidad Torcuato Di Tella
institution_str I-57
repository_str R-163
collection Repositorio Digital Universidad Torcuato Di Tella
language Español
Inglés
orig_language_str_mv spa
eng
topic Optimization
Real-time
Wireless Network
Internet of Things (IoT)
Internet de las cosas
Precision agriculture
Smart cities
Smart environments
Applications
Aplicaciones
Combinatorial optimization problem
Multiobjective integer linear programming model
Number of gateways, used energy, and transmission time
Optimization framework
spellingShingle Optimization
Real-time
Wireless Network
Internet of Things (IoT)
Internet de las cosas
Precision agriculture
Smart cities
Smart environments
Applications
Aplicaciones
Combinatorial optimization problem
Multiobjective integer linear programming model
Number of gateways, used energy, and transmission time
Optimization framework
Marenco, Javier
Micheletto, Matías
Santos, Rodrigo M.
Multiobjective formulation for last-mile optimization in wireless networks
topic_facet Optimization
Real-time
Wireless Network
Internet of Things (IoT)
Internet de las cosas
Precision agriculture
Smart cities
Smart environments
Applications
Aplicaciones
Combinatorial optimization problem
Multiobjective integer linear programming model
Number of gateways, used energy, and transmission time
Optimization framework
description Internet of Things (IoT) is a technology that serves as the basis for smart environments. The ever-expanding set of applications that provide intelligence in different scenarios is continually growing and expanding. From precision agriculture to the development of sustainable smart cities, the need to have a communications infrastructure that allows the connectivity of sensors, actuators, and users becomes essential. In what is known as the “last mile,” wireless networks are the fastest growing group. For these to be operational, it is necessary to connect them to the Internet through gateways. These gateways handle different communication technologies and are therefore expensive nodes to install and maintain. Defining their location and their ability to “route” messages involves a combinatorial optimization problem. In this work in progress, a multiobjective integer linear programming model (minimizing number of gateways, used energy, and transmission time) is presented. To the best of our knowledge, previous literature does not include any optimization framework encompassing all these three objectives together.
format Documento de conferencia
publishedVersion
author Marenco, Javier
Micheletto, Matías
Santos, Rodrigo M.
author_facet Marenco, Javier
Micheletto, Matías
Santos, Rodrigo M.
author_sort Marenco, Javier
title Multiobjective formulation for last-mile optimization in wireless networks
title_short Multiobjective formulation for last-mile optimization in wireless networks
title_full Multiobjective formulation for last-mile optimization in wireless networks
title_fullStr Multiobjective formulation for last-mile optimization in wireless networks
title_full_unstemmed Multiobjective formulation for last-mile optimization in wireless networks
title_sort multiobjective formulation for last-mile optimization in wireless networks
publisher IEEE
publishDate 2023
url https://repositorio.utdt.edu/handle/20.500.13098/12236
https://doi.org/10.1109/CLEI60451.2023.10346177
work_keys_str_mv AT marencojavier multiobjectiveformulationforlastmileoptimizationinwirelessnetworks
AT michelettomatias multiobjectiveformulationforlastmileoptimizationinwirelessnetworks
AT santosrodrigom multiobjectiveformulationforlastmileoptimizationinwirelessnetworks
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