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2nd International Conference of Information Processing "CIPI - IOTAI 2019" -International Workshop of Internet of Things & Artificial Intelligence

2nd International Conference of Information Processing

CIPI - IOTAI 2019

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.

About The Speaker

Cynthia Porras Nodarse

Prof. Cynthia Porras Nodarse

CUJAE Flag of Cuba
Practical Info
English (US)
Not defined
30 minutes
Not defined
Authors
Jenny fajardo
Prof. Cynthia Porras Nodarse
Alejandro rosete
Eduardo sánchez
Humberto díaz
Keywords
fuzzy multi-objective maximal covering location problem
multi-objective metaheuristics
wifi antennas