Next Article in Journal
Localization Based on MAP and PSO for Drifting-Restricted Underwater Acoustic Sensor Networks
Next Article in Special Issue
A Processing-in-Memory Architecture Programming Paradigm for Wireless Internet-of-Things Applications
Previous Article in Journal
A Generic Multi-Layer Architecture Based on ROS-JADE Integration for Autonomous Transport Vehicles
Previous Article in Special Issue
Performance Analysis of Latency-Aware Data Management in Industrial IoT Networks
Article Menu
Issue 1 (January-1) cover image

Export Article

Open AccessArticle
Sensors 2019, 19(1), 70; https://doi.org/10.3390/s19010070

Managing Devices of a One-to-One Computing Educational Program Using an IoT Infrastructure

1
Instituto de Computación (INCO), Universidad de la República (UdelaR), Montevideo 11300, Uruguay
2
Centro Ceibal para el Apoyo a la Educación de la Niñez y la Adolescencia (Plan Ceibal), Montevideo 11500, Uruguay
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Received: 13 November 2018 / Revised: 21 December 2018 / Accepted: 21 December 2018 / Published: 25 December 2018
(This article belongs to the Special Issue Middleware Solutions for Wireless Internet of Things)
  |  
PDF [669 KB, uploaded 15 January 2019]
  |     |  

Abstract

Plan Ceibal is the name coined in Uruguay for the local implementation of the One Laptop Per Child (OLPC) initiative. Plan Ceibal distributes laptops and tablets to students and teachers, and also deploys a nationwide wireless network to provide Internet access to these devices, provides video conference facilities, and develops educational applications. Given the scale of the program, management in general, and specifically device management, is a very challenging task. Device maintenance and replacement is a particularly important process; users trigger such kind of replacement processes and usually imply several days without the device. Early detection of fault conditions in the most stressed hardware parts (e.g., batteries) would permit to prompt defensive replacement, contributing to reduce downtime, and improving the user experience. Seeking for better, preventive and scalable device management, in this paper we present a prototype of a Mobile Device Management (MDM) module for Plan Ceibal, developed over an IoT infrastructure, showing the results of a controlled experiment over a sample of the devices. The prototype is deployed over a public IoT infrastructure to speed up the development process, avoiding, in this phase, the need for local infrastructure and maintenance, while enforcing scalability and security requirements. The presented data analysis was implemented off-line and represents a sample of possible metrics which could be used to implement preventive management in a real deployment. View Full-Text
Keywords: one-to-one computing educational program; Mobile Device Management; Internet of Things one-to-one computing educational program; Mobile Device Management; Internet of Things
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Osimani, F.; Stecanella, B.; Capdehourat, G.; Etcheverry, L.; Grampín, E. Managing Devices of a One-to-One Computing Educational Program Using an IoT Infrastructure. Sensors 2019, 19, 70.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top