A wireless mesh sensing network for early warning

  • Authors:
  • Joachim Fischer;Jens-Peter Redlich;Jochen Zschau;Claus Milkereit;Matteo Picozzi;Kevin Fleming;Mihal Brumbulli;Björn Lichtblau;Ingmar Eveslage

  • Affiliations:
  • Department of Computer Science, Humboldt-Universität zu Berlin, Berlin, Germany;Department of Computer Science, Humboldt-Universität zu Berlin, Berlin, Germany;Helmholtz-Zentrum Potsdam Deutsches GeoForschungsZentrum, Potsdam, Germany;Helmholtz-Zentrum Potsdam Deutsches GeoForschungsZentrum, Potsdam, Germany;Helmholtz-Zentrum Potsdam Deutsches GeoForschungsZentrum, Potsdam, Germany;Helmholtz-Zentrum Potsdam Deutsches GeoForschungsZentrum, Potsdam, Germany;Department of Computer Science, Humboldt-Universität zu Berlin, Berlin, Germany;Department of Computer Science, Humboldt-Universität zu Berlin, Berlin, Germany;Department of Computer Science, Humboldt-Universität zu Berlin, Berlin, Germany

  • Venue:
  • Journal of Network and Computer Applications
  • Year:
  • 2012

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Abstract

Earthquake early warning systems should provide reliable warnings as quickly as possible with a minimum number of false and missed alarms. Wireless meshed networks, coupled with low-cost seismometers for monitoring, evaluation, and information about seismic vibrations in space and time are introducing a new generation of warning infrastructures for mega-cities. The use of a cooperative method for signal analysis makes it possible to distinguish earthquakes (with a certain minimal magnitude) from other ground shaking in a city. The paper gives a short overview of our approach for developing decentralized early warning systems and an evaluation based on experiences gained from model investigations, testbeds in Berlin, and prototype installations in Istanbul.