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 rela...

• Main Author: Chavez Estrella, Mario (author)
• Other Authors: Enríquez-Reyes, Robert (author), Cadena Flores, Giovanny (author), Mocayo Unda, Milton G. (author)
• Format: article
• Language: spa
• Published: 2020
• Subjects: Web Application, API, Technology, Mobility Patterns, Big Data, Real time.; English
• Online Access: https://revistadigital.uce.edu.ec/index.php/INGENIO/article/view/2236