loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Jonah Vincke ; Scott Kempf ; Niklas Schnelle ; Clemens Horch and Frank Schäfer

Affiliation: Ernst-Mach-Institut and EMI, Germany

Keyword(s): Ultra-low Power, Wireless Sensor Network, Energy Harvesting, Tunnel System.

Related Ontology Subjects/Areas/Topics: Applications and Uses ; Artificial Intelligence ; Business Analytics ; Cardiovascular Technologies ; Computing and Telecommunications in Cardiology ; Data Engineering ; Decision Support Systems ; Decision Support Systems, Remote Data Analysis ; Defense and Security ; Energy Efficiency ; Energy Efficiency and Green Manufacturing ; Health Engineering and Technology Applications ; Industrial Engineering ; Informatics in Control, Automation and Robotics ; Infrastructure Reliability ; Knowledge-Based Systems ; Obstacles ; Sensor Networks ; Symbolic 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 μW.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.145.131.28

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Vincke, J.; Kempf, S.; Schnelle, N.; Horch, C. and Schäfer, F. (2017). A Concept for an Ultra-low Power Sensor Network - Detecting and Monitoring Disaster Events in Underground Metro Systems. In Proceedings of the 6th International Conference on Sensor Networks - SENSORNETS; ISBN 978-989-758-211-0; ISSN 2184-4380, SciTePress, pages 150-155. DOI: 10.5220/0006186901500155

@conference{sensornets17,
author={Jonah Vincke. and Scott Kempf. and Niklas Schnelle. and Clemens Horch. and Frank Schäfer.},
title={A Concept for an Ultra-low Power Sensor Network - Detecting and Monitoring Disaster Events in Underground Metro Systems},
booktitle={Proceedings of the 6th International Conference on Sensor Networks - SENSORNETS},
year={2017},
pages={150-155},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006186901500155},
isbn={978-989-758-211-0},
issn={2184-4380},
}

TY - CONF

JO - Proceedings of the 6th International Conference on Sensor Networks - SENSORNETS
TI - A Concept for an Ultra-low Power Sensor Network - Detecting and Monitoring Disaster Events in Underground Metro Systems
SN - 978-989-758-211-0
IS - 2184-4380
AU - Vincke, J.
AU - Kempf, S.
AU - Schnelle, N.
AU - Horch, C.
AU - Schäfer, F.
PY - 2017
SP - 150
EP - 155
DO - 10.5220/0006186901500155
PB - SciTePress