A Sensor Network Architecture for Tsunami Detection and Response

References

• “The great waves,” IOC Brochure 2006-2, May 2006. [Online]. http://ioc3.unesco.org/itic/files/great_waves_en_2006_small.pdf
   Google Scholar
• Casey , K. , Lim , A. and Dozier , G. 2006 . Evolving general regression neural networks for tsunami detection and response . Proceedings of the International Congress on Evolutionary Computation (CEC) . July 2006 . IEEE .
   Google Scholar
• Specht , D. 1991 . A general regression neural network . IEEE Transactions on Neural Networks ,
   Google Scholar
• Lu , C. , Blum , B. , Abdelzaher , T. , Stankovic , J. and He , T. 2002 . Rap: A real-time communication architecture for large-scale wireless sensor networks .
   Google Scholar
• Meinig , C. , Stalin , S. , Nakamura , A. , Gonzelez , F. and Milburn , H. 2005 . Technology developments in real-time tsunami measuring, monitoring and forecasting . Oceans 2005 MTS/IEEE . September 2005 , Washington, D.C..
   Google Scholar
• Meinig , C. , Stalin , S. , Nakamura , A. and Milburn , H. 2005 . Real-time deep-ocean tsunami measuring, monitoring, and reporting system: The noaa dart ii description and disclosure . NOAA, Tech. Rep. ,
   Google Scholar
• Gonzelez , F. , Bernard , E. , Meinig , C. , Eble , M. , Mofjeld , H. and Stalin , S. 2005 . The nthmp tsunameter network . National Hazards , 35 ( 1 ) : 25 – 39 .
   Google Scholar
• D. Casey, “The thames barrier: Flood defence for london,” 2006. [Online]. http://www.environment-agency.gov.uk/regions/thames/323150/335688/341764/
   Google Scholar
• “Nova: Sinking city of venice,” Website, http://www.pbs.org/wgbh/nova/venice/gates.htm, October 2002. [Online]. http://www.pbs.org/wgbh/nova/venice/gates.htm
   Google Scholar
• McHugh , J. 2003 . The lost city of venice . Wired , 11 ( 8 ) August
   Google Scholar
• Sammarco , P. , Tran , H. H. and Mei , C. C. 1997 . Subharmonic resonance of venice gates in waves . Journal of Fluid Mechanics , 349
   Google Scholar
• T. Kaitoku, “Ioc glossary: General tsunami terms,” 2006. [Online]. http://ioc3.unesco.org/itic/contents.php?id=21
   Google Scholar
• 13. J. D. Beaulieu, “Tsunami warning systems and procedures: Special paper 35,” Oregon Department of Geology and Mineral Industries, Tech. Rep., 2001.
   Google Scholar
• Intanagonwiwat , C. , Govindan , R. and Estrin , D. . Directed diffusion: a scalable and robust communication paradigm for sensor networks . Mobile Computing and Networking . pp. 56 – 67 .
   Google Scholar
• Heidemann , J. S. , Silva , F. , Intanagonwiwat , C. , Govindan , R. , Estrin , D. and Ganesan , D. . Building efficient wireless sensor networks with low-level naming . Symposium on Operating Systems Principles . pp. 146 – 159 .
   Google Scholar
• Johnson , D. B. and Maltz , D. A. . Dynamic source routing in ad hoc wireless networks . Mobile Computing . Edited by: Imielinski and Korth . Vol. 353 , Kluwer Academic Publishers .
   Google Scholar
• 17. C. Perkins, “Ad hoc on demand distance vector (aodv) routing,” 1997.
   Google Scholar
• Lim , A. 2001 . Distributed services for information dissemination in self-organized sensor networks . Journal of Franklin Institute , 338 : 707 – 727 .
   Google Scholar
• Yu , X. 2001 . “ Implementation of lookup service protocols for self-organizing sensor networks ” . Master's thesis, Auburn University .
   Google Scholar
• Shen , Q. 2002 . “ Distributed composition service for self-organizing sensor networks ” . Master's thesis, Auburn University .
   Google Scholar
• Naik , U. 2005 . “ Implementation of distributed composition service for self-organizing sensor networks ” . Master's thesis, Auburn University .
   Google Scholar
• Wang , Y. 2002 . “ A dynamic adaptation service framework in self-organizing sensor networks ” . Master's thesis, Auburn University .
   Google Scholar
• Gerla , M. , Kwon , T. and Pei , G. 2000 . On demand routing in large ad hoc wireless networks with passive clustering .
   Google Scholar
• Kwon , T. J. , Gerla , M. , Varma , V. , Barton , M. and Hsing , T. 2003 . Efficient flooding with passive clustering-an overhead-free selective forward mechanism for ad hoc/sensor networks . Proceedings of the IEEE , 91 ( 8 ) Aug : 1210 – 1220 .
   Google Scholar
• Handziski , V. , Koepke , A. , Karl , H. , Frank , C. and Drytkiewicz , W. . Improving the energy efficiency of directed diffusion using passive clustering . EWSN 2004 . Vol. 2920 , pp. 172 – 187 . ser. LNCS
   Google Scholar
• Jetcheva , J. and Johnson , D. B. . Adaptive demand-driven multicast routing in multi-hop wireless ad hoc networks . Proceedings of the Second Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc 2001), ACM . Oct , pp. 33 – 44 . ACM
   Google Scholar
• L. E. Harris, “Combined recreational amenities and coastal erosion protection using submerged breakwaters for shoreline stabilization,” Florida Institute of Technology, Tech. Rep., September 2005. [Online]. http://www.artificialreefs.org/ScientificReports/2005Sept%20RB%20paper.pdf
   Google Scholar
• L. Harris, “Breakwater wave attenuation.” [Online]. http://www.artificialreefs.org/ScientificReports/Wave%20reduction.htm
   Google Scholar