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II Conferencia Internacional de Procesamiento de la Información "CIPI - IOTAI2019" -International Workshop on Internet of Things and Artificial Intelligence

II Conferencia Internacional de Procesamiento de la Información

CIPI - IOTAI2019

A Fuzzy Multi-Objective Maximal Covering Location Problem for Wi-Fi antennas location

The use of networks of Wi-Fi antennas is a key element to provide constant connection to the Internet. The decision regarding the placement of the Wi-Fi antennas in order to allow the best coverage may be modeled as a location problem. This paper introduces a new fuzzy multi-objective model for the Maximal Coverage Location Problem (MCLP) in order to locate the Wi-Fi antennas. Four objectives are optimized: overall coverage, backup coverage, good coverage and minimal coverage. The model was applied to a case study: the location of Wi-Fi antennas in the Faculty of Computer Engineering of CUJAE.

The use of networks of Wi-Fi antennas is a key element to provide constant connection to the Internet. The decision regarding the placement of the Wi-Fi antennas in order to allow the best coverage may be modeled as a location problem. This paper introduces a new fuzzy multi-objective model for the Maximal Coverage Location Problem (MCLP) in order to locate the Wi-Fi antennas. Four objectives are optimized: overall coverage, backup coverage, good coverage and minimal coverage. The model was applied to a case study: the location of Wi-Fi antennas in the Faculty of Computer Engineering of CUJAE.

Sobre el ponente

Cynthia Porras Nodarse

Prof. Cynthia Porras Nodarse

CUJAE Flag of Cuba
Información Práctica
English (US)
No definido
30 minutos
No definido
Autores
Jenny fajardo
Prof. Cynthia Porras Nodarse
Alejandro rosete
Eduardo sánchez
Humberto díaz
Palabras clave
fuzzy multi-objective maximal covering location problem
multi-objective metaheuristics
wifi antennas