Identification of Mobility Patterns using real-time data generated by Access Point in a campus communications network. Case Study: Central University of Ecuador

The purpose of this paper is show complete, accurate and real-time information about the mobility of users on a campus, identifying types of users and their characteristics, all through a computer platform consisting of two applications, an API specialized in storage from the purified data to a relational database, and a web application that presents information to the user. This platform is developed through the use of open source technologies and tools. The information provided comes from the Access Points installed in the campus communication network, which, through computer processing, is anonymized, stored, purified and classified for later analysis. As a case study, the application has been implemented in the university context specifically at the Central University of Ecuador.

• Autor principal: Chavez Estrella, Mario (author)
• Altres autors: Enríquez-Reyes, Robert (author), Cadena Flores, Giovanny (author), Mocayo Unda, Milton G. (author)
• Format: article
• Idioma: spa
• Publicat: 2020
• Matèries: Web Application, API, Technology, Mobility Patterns, Big Data, Real time.; English
• Accés en línia: https://revistadigital.uce.edu.ec/index.php/INGENIO/article/view/2236