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Sensors 2015, 15(3), 4996-5019; doi:10.3390/s150304996

Sensor4PRI: A Sensor Platform for the Protection of Railway Infrastructures

Department of Languages and Computer Science, University of Málaga, Boulevar Louis Pasteur 35, 29071 Málaga, Spain
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Author to whom correspondence should be addressed.
Academic Editor: Felipe Jimenez
Received: 16 December 2014 / Revised: 12 February 2015 / Accepted: 13 February 2015 / Published: 27 February 2015
(This article belongs to the Special Issue Sensors in New Road Vehicles)
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Abstract

Wireless Sensor Networks constitute pervasive and distributed computing systems and are potentially one of the most important technologies of this century. They have been specifically identified as a good candidate to become an integral part of the protection of critical infrastructures. In this paper we focus on railway infrastructure protection and we present the details of a sensor platform designed to be integrated into a slab track system in order to carry out both installation and maintenance monitoring activities. In the installation phase, the platform helps operators to install the slab tracks in the right position. In the maintenance phase, the platform collects information about the structural health and behavior of the infrastructure when a train travels along it and relays the readings to a base station. The base station uses trains as data mules to upload the information to the internet. The use of a train as a data mule is especially suitable for collecting information from remote or inaccessible places which do not have a direct connection to the internet and require less network infrastructure. The overall aim of the system is to deploy a permanent economically viable monitoring system to improve the safety of railway infrastructures. View Full-Text
Keywords: wireless sensor networks; railway infrastructure protection; sensor platform; slab track wireless sensor networks; railway infrastructure protection; sensor platform; slab track
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).

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MDPI and ACS Style

Cañete, E.; Chen, J.; Díaz, M.; Llopis, L.; Rubio, B. Sensor4PRI: A Sensor Platform for the Protection of Railway Infrastructures. Sensors 2015, 15, 4996-5019.

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