Placing Wi-Fi Hotspots in Havana with locations availability based on fuzzy constraints
| Autor: | María Teresa Lamata, David A. Pelta, Jenny Fajardo-Calderin, José L. Verdegay, Cynthia Porras, Alejandro Rosete |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
021103 operations research
business.product_category Operations research Computer science Fuzzy set 0211 other engineering and technologies 02 engineering and technology Fuzzy logic Flooding (computer networking) Software deployment 0202 electrical engineering electronic engineering information engineering Internet access Portfolio 020201 artificial intelligence & image processing business Metaheuristic Parametric statistics |
| Zdroj: | FUZZ-IEEE |
| DOI: | 10.1109/fuzz-ieee.2018.8491568 |
| Popis: | We focus here in the deployment of Wi-Fi hotspots (Internet access points) in several locations of Havana city, Cuba. The key point to consider is that the availability of the locations is related to the risk of sea flooding in the littoral of the city.We propose to model the problem as a Maximal Coverage Location Problem (MCLP) where the availability of locations is considered in fuzzy terms, thus leading to fuzzy constraints. Using real data from the Havana city, we solve the problem with a parametric approach using a metaheuristics portfolio. An extensive analysis of the solutions shows the benefits of the proposal. |
| Databáze: | OpenAIRE |
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