Using Space-Based Technology for Smart Resource Management during Disaster Early Warnings

  • Cosimo Stallo
  • Marina Ruggieri
  • Sabino Cacucci
  • Donatella Dominici
Chapter
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)

Abstract

To improve the decision process of first responders just before and just after a disaster, effective access to distributed unstructured disaster information and an infrastructure for precise and accurate disaster information access and retrieval could represent new and important tools. Moreover, they could help improve the performance of disaster prediction tools developed in any country in the world. This chapter describes a system based on integration of space and terrestrial technologies that aims to provide useful information to first responder organizations for smart management of disasters, both in the early warning phase and just after it.

Keywords:

Global positioning system (GPS) Swarm intelligence Disaster early warning Earth observation (EO) Radio frequency identification (RFID) Geographic information system (GIS) 

References

  1. Barbera S, Stallo C, Savarese G, Ruggieri M, Cacucci S, Fedi F (2010) A geo-referenced swarm agents enabling system: theory and demo application. IEEE First International Conference on Systems, Modelling and Simulation (ISMS 2010), 27–29 Jan 2010, Liverpool, England, pp. 100–104Google Scholar
  2. Buscema M, Ruggieri M (2011) Advanced networks, algorithms and modeling for earthquake prediction. River Publishers, ISBN: 978-87-92329-57-8, 2011Google Scholar
  3. Dominici D, Galeota D, Gregori A, Rosciano E, Elaiopoulos M (2011) Using new techniques of geomatic and structural control in the old city center of l’aquila after the April 6, 2009. Earthquake Proceedings of Joint International Symposium on Deformation Monitoring, Hong Kong 2–4 11 2011Google Scholar
  4. Engelbrecht A (2005) Fundamentals of computational swarm intelligence. Wiley, HobokenGoogle Scholar
  5. FP7-Space2012-1 (2010) Collaborative Project Proposal, ENCELADUSGoogle Scholar
  6. Hadim S, Mohamed M (2006) Middleware: middleware challenges and approaches for wireless sensor networks. IEEE Distrib Syst Online 7(3)Google Scholar
  7. Stallo C, Cianca E, Mukherjee S, Rossi T, De Sanctis M, Ruggieri M (2010) IR-UWB for multi-gigabit communications beyond 60 GHz. Telecom Sys J 55:1 Google Scholar
  8. Stallo C, Barbera S, Savarese G, Ruggieri M, Cacucci S, Fedi F (2010) A geo referenced swarm agents enabling system for hazardous applications. UK Sim 12th International Conference on Computer Modelling and Simulation, Emmanuel College, Cambridge University, (UK), 24–26 Mar 2010, pp. 104–109Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Cosimo Stallo
    • 1
  • Marina Ruggieri
    • 1
  • Sabino Cacucci
    • 2
  • Donatella Dominici
    • 3
  1. 1.Electronic Engineering DepartmentUniversity of Rome Tor VergataRomeItaly
  2. 2.Sistemi Software IntegratiTarantoItaly
  3. 3.University of L’AquilaL’AquilaItaly

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