Title :
Predictive monitoring of train wagons conditions using wireless network technologies
Author :
Franceschinis, M. ; Mauro, Francesco ; Pastrone, Claudio ; Spirito, Maurizio A. ; Rossi, Mattia
Author_Institution :
Pervasive Technol. (PerT) Area, Ist. Superiore Mario Boella (ISMB), Turin, Italy
fDate :
Oct. 30 2013-Nov. 1 2013
Abstract :
Predictive monitoring of train wagons can allow to anticipate possible malfunctioning due to wear and avoid potential accidents. In this paper some network architectures adopting low-power wireless communication technologies are introduced. A performance comparison is provided based on ns-2 simulation results, suggesting that the combined use of WSN and WiFi in a hierarchical architecture is adequate for long trains with several coaches and a large number of sensing nodes.
Keywords :
condition monitoring; railways; vehicles; wireless LAN; wireless sensor networks; WSN; WiFi; low-power wireless communication technologies; predictive monitoring; sensing nodes; train wagon conditions; wireless network technologies; IEEE 802.11 Standards; IEEE 802.15 Standards; Monitoring; Object oriented modeling; Rail transportation; Sensors; Wireless sensor networks; condition-based monitoring; ns-2 simulations; railway scenarios; wireless sensors;
Conference_Titel :
Information, Communication and Automation Technologies (ICAT), 2013 XXIV International Symposium on
Conference_Location :
Sarajevo
DOI :
10.1109/ICAT.2013.6684032
