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A Comparative Study on Communication Protocols in Disaster Areas with Virtual Disaster Simulation Systems

  • Koichi Asakura
  • Toyohide Watanabe
Part of the Studies in Computational Intelligence book series (SCI, volume 376)

Abstract

In this paper, we describe a comparative study on communication protocols based on ad-hoc network technologies in disaster situations. In disaster situations, mobility and density of persons are different from those in usual situations. Thus, in order to evaluate communication protocols, we propose a virtual disaster simulation system. In this simulation system, virtual disaster areas are constructed based on hazard maps which are provided for predicting damage of disaster. Virtual disaster areas enables us to conduct experiments for communication systems effectively since we cannot conduct experiments in real disaster situations. By using this simulation system, we compare three protocols from the viewpoints of data gathering performance and power consumption. Experimental results show that our proposed ad-hoc unicursal protocol shows good performance with respect to both viewpoints in disaster situations.

Keywords

Simulation System Communication Protocol Seismic Intensity Disaster Area Total Collapse 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. 1.
    Midkiff, S.F., Bostian, C.W.: Rapidly-Deployable Broadband Wireless Networks for Disaster and Emergency Response. In: The 1st IEEE Workshop on Disaster Recovery Networks, DIREN 2002 (2002)Google Scholar
  2. 2.
    Meissner, A., Luckenbach, T., Risse, T., Kirste, T., Kirchner, H.: Design Challenges for an Integrated Disaster Management Communication and Information System. In: The 1st IEEE Workshop on Disaster Recovery Networks, DIREN 2002 (2002)Google Scholar
  3. 3.
    Toh, C.-K.: Ad Hoc Mobile Wireless Networks: Protocols and Systems. Prentice Hall, Englewood Cliffs (2001)Google Scholar
  4. 4.
    Murthy, C.S.R., Manoj, B.S.: Ad Hoc Wireless Networks: Architectures and Protocols. Prentice-Hall, Englewood Cliffs (2004)Google Scholar
  5. 5.
    Lang, D.: Routing Protocols for Mobile Ad Hoc Networks: Classification, Evaluation and Challenges. VDM Verlag (2008)Google Scholar
  6. 6.
    Asakura, K., Oishi, J., Watanabe, T.: An Ad-hoc Unicursal Protocol for Human Communication in Disaster Situations. In: the 2nd International Symposium on Intelligent Interactive Multimedia Systems and Services (KES-IIMSS 2009), pp. 511–521 (2009)Google Scholar
  7. 7.
    Mase, K.: Communications Supported by Ad Hoc Networks in Disasters. Journal of the Institute of Electronics, Information, and Communication Engineers 89(9), 796–800 (2006) (in Japanese)Google Scholar
  8. 8.
    Singh, S., Woo, M., Raghavendra, C.S.: Power-aware Routing in Mobile Ad Hoc Networks. In: The 4th Annual ACM/IEEE Int’l Conf. on Mobile Computing and Networking (MOBICOM), pp. 181–190 (1998)Google Scholar
  9. 9.
    Li, D., Jia, X., Liu, H.: Energy Efficient Broadcast Routing in Static Ad-hoc Wireless Networks. IEEE Trans. on Mobile Computing 3(2), 144–151 (2004)CrossRefGoogle Scholar
  10. 10.
    Cormen, T.H., Leiserson, C.E., Rivest, R.L., Stein, C.: Introduction to Algorithms. The MIT Press, Cambridge (2009)zbMATHGoogle Scholar
  11. 11.
    U.S. Geological Survey: Hazard Mapping Images and Data, http://earthquake.usgs.gov/hazards/products/
  12. 12.
    The Geographical Survey Institute: Hazard Map Portal Site (in Japanese), http://www.gsi.go.jp/geowww/disapotal/index.html
  13. 13.
    Nagoya City: Earthquake Maps for Your Town, http://www.city.nagoya.jp/kurashi/category/20-2-5-6-0-0-0-0-0-0.html (in Japanese)
  14. 14.
    Issariyakul, T., Hossain, E.: Introduction to Network Simulator NS2. Springer, Heidelberg (2008)Google Scholar
  15. 15.
    Zeng, X., Bagrodia, R., Gerla, M.: GloMoSim: a Library for Parallel Simulation of Large-scale Wireless Networks. In: The 12th Workshop on Parallel and Distributed Simulations (PADS 1998), pp. 154–161 (1998)Google Scholar
  16. 16.
    Barr, R., Hass, Z.J., Renesse, R.: JiST: An Efficient Approach to Simulation Using Virtual Machines. Software – Practice and Experience 35(6), 539–576 (2005)CrossRefGoogle Scholar
  17. 17.
    Barr, R., Hass, Z.J., Renesse, R.: Scalable Wireless Ad Hoc Network Simulation. In: Handbook on Theoretical and Algorithmic Aspects of Sensor, Ad hoc Wireless, and Peer-to-Peer Networks, pp. 297–311. CRC Press, Boca Raton (2005)Google Scholar
  18. 18.
    The Cabinet Office, government of Japan: A Manual for Assessment of Earthquake Damage (in Japanese), http://www.bousai.go.jp/manual/

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Koichi Asakura
    • 1
  • Toyohide Watanabe
    • 2
  1. 1.School of InformaticsDaido UniversityNagoyaJapan
  2. 2.Department of Systems and Social Informatics, Graduate School of Information ScienceNagoya UniversityNagoyaJapan

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