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Author (up) Tim-Jonathan Huyeng; Timo Bittner; Uwe Rüppel pdf  isbn
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  Title Examining the Feasibility of LoRa-based Monitoring in Large-scale Disaster Response Scenarios Type Conference Article
  Year 2022 Publication ISCRAM 2022 Conference Proceedings 19th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2022  
  Volume Issue Pages 541-550  
  Keywords LoRa; LPWAN; disaster response; sensor technology; monitoring  
  Abstract Following a natural disaster or other large-scale events which require emergency response assessing and monitoring the situation at hand is of critical importance. However, some infrastructure that is often relied upon such as cellular service or the power grid might be temporarily disrupted or entirely unavailable. In order to be able to still transmit relevant monitoring data gathered from sensors, the use of a low-cost LPWAN with LoRa modulation technique is suggested in the approach presented here. Combined with an analysis of disaster response in Germany the relevant aspects are consolidated in a concept utilizing LoRaWAN with a ChirpStack backend that is easy to set up and entirely independent of external infrastructure. The proposed addition which aims to support disaster control management in Germany is then tested in conjunction with a fictional flooding scenario where an area is monitored with autarkic sensors using LoRaWAN technology.  
  Address Technische Universität Darmstadt; Technische Universität Darmstadt; Technische Universität Darmstadt  
  Corporate Author Thesis  
  Publisher Place of Publication Tarbes, France Editor Rob Grace; Hossein Baharmand  
  Language English Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2411-3387 ISBN 978-82-8427-099-9 Medium  
  Track Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) Expedition Conference  
  Notes Approved no  
  Call Number ISCRAM @ idladmin @ Serial 2438  
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