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  4. A concept for an ultra-low power sensor network - detecting and monitoring disaster events in underground metro systems
 
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2017
Conference Paper
Titel

A concept for an ultra-low power sensor network - detecting and monitoring disaster events in underground metro systems

Abstract
In this paper, the concept for an ultra-low power wireless sensor network (WSN) for underground tunnel systems is presented highlighting the chosen sensors. Its objectives are the detection of emergency events either from natural disasters, such as flooding, or from terrorist attacks. Earlier works have demonstrated that the power consumption for the communication can be reduced such that the data acquisition (i.e. sensor subsystem) becomes the most significant energy consumer. By using ultra-low power components for the smoke detector, a hydrostatic pressure sensor for water ingress detection and a passive acoustic emission sensor for explosion detection, all considered threats are covered while the energy consumption can be kept very low in relation to the data acquisition. The total average consumption for operating the sensor sub-system is calculated to be less than 35.9 mu W.
Author(s)
Vincke, Jonah
Fraunhofer-Institut für Kurzzeitdynamik Ernst-Mach-Institut EMI
Kempf, Scott
Fraunhofer-Institut für Kurzzeitdynamik Ernst-Mach-Institut EMI
Schnelle, Niklas
Fraunhofer-Institut für Kurzzeitdynamik Ernst-Mach-Institut EMI
Horch, Clemens
Fraunhofer-Institut für Kurzzeitdynamik Ernst-Mach-Institut EMI
Schäfer, Frank
Fraunhofer-Institut für Kurzzeitdynamik Ernst-Mach-Institut EMI
Hauptwerk
SENSORNETS 2017, 6th International Conference on Sensor Networks. Proceedings
Funder
Bundesministerium für Bildung und Forschung BMBF (Deutschland)
Konferenz
International Conference on Sensor Networks (SENSORNETS) 2017
DOI
10.5220/0006186901500155
File(s)
N-480913.pdf (432.92 KB)
Language
English
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Fraunhofer-Institut für Kurzzeitdynamik Ernst-Mach-Institut EMI
Tags
  • ultra-low power

  • wireless sensor netwo...

  • energy harvesting

  • tunnel system

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