International E-publication: Publish Projects, Dissertation, Theses, Books, Souvenir, Conference Proceeding with ISBN.  International E-Bulletin: Information/News regarding: Academics and Research

A Mobile Agent-Based Algorithm for Prediction of Inundation Area

Author Affiliations

  • 1Department of Computer Sciences, Government College University, Faisal Abad, PAKISTAN
  • 2College of Computer science and Information Technology, King Faisal University, Al Hasssa, SAUDI ARABIA
  • 3Faculty of Sciences, Abdul Wali Khan University, Mardan, PAKISTAN

Res. J. Recent Sci., Volume 3, Issue (1), Pages 72-77, January,2 (2014)

Abstract

Flood is inevitable but can be predicted before time to secure maximum human lives and decrease its impacts. For this purpose, a lot of techniques have been developed to predict the flood like Hydrograph, unsteady Flow River like SPH(Smooth Particle Hydrodynamics), ANFAS, FRICS, DMS and CBC. However these are not efficient to take benefits of uprising concepts for prediction. To overcome the problems, we developed a system based on mobile agent concepts. For mobile agent communication, VSAT (Very Small Aperture Terminal) is used which is useful in any type of critical conditions. For this, we develop a mobile agent based algorithm which can provide communication of server and client agent. This divides the system in two parts server and client agent. The client agent is responsible for calculating the discharge of flood based on water passing through the cross-section area, calculated by Simpson’s1/3rd method and its velocity. The responsibility of the server agents to take the decision of inundation area depends on the discharge of water and historical data.

References

  1. Ghazali J.N. and Kamisn A., A Real Time Simulation and Modeling of Flood Hazard, 12th WSEAS International Conference on System, 438-443 (2008)
  2. Jinxing Z., Yan W. and YijunL., A Review of an Early Warning Technique of Flash Flood and Debris Flow Disaster, ISCO 13th International Soil Conservation Organization Conf., Brisbane, , 432-439 (2004)
  3. Sengupta S.K., Bales J.D., Jubach R., Scott A.C. and Kane M.D., Flood Forecasting and Inundation Mapping in the Mahanadi River Basin: A Collaborative Effort between India and the United States, (2006)
  4. Ministry of lands Japan, Japan Tokai Heavy Rain, WMO/GWP Associated Programme on Flood Management (2000)
  5. Cigizoglu H., Askin P., Ozturk A., Gurbuz A. and Ayhan O., Artificial Neural Networks Models In Rainfall-Runoff Modeling of Turkish Rivers, International Conference on river Basin Management, Turcia (2007)
  6. Sezen N. and Gunduz N., Meric River Floods And Turkish-Bulgarian Cooperations, International Congress on River Basin Management, Turcia (2007)
  7. Zhang X.Z., Jing R.L and Tang K.D., Evaluation for flood control influence on Zhangjiazhuang (Cihe River) bridge, Proc. Int Water Resource and Environmental Protection (ISWREP) Symp, 1, 474-477 (2011)
  8. Nelson S.A., River flooding, Tulane University, http://www.tulane.edu/~ sanelson/Natural_Disasters/riverflooding.htm, (2012)
  9. Cigizoglu H., Askin P., Ozturk A., Gurbuz A. and Ayhan O., Artificial Neural Networks Models In Rainfall-Runoff Modeling of Turkish Rivers, International Conference on river Basin Management, Turcia (2007)
  10. Matei A.M., An Analysis of Modern Monitoring and preventing Techniques of floods, 60(2), 86-92 (2008)
  11. Yuliang Z., Ping Z., Juliang J. and Libing Z., Application of Interpolation Model Based on Genetic Algorithm to Comprehensive Evaluation of Flood Disaster Loss, Proc. Second WRI Global Congress Intelligent Systems (GCIS) 1, 272-275, (2010)
  12. Bin L., Xianpu C., Dongchao S. and Xia W., Modeling Techniques of Unsteady Flow Flood Control River Model, (2000)
  13. ANFAS, Data Fusion For Flood Analysis and Decision Support, European Research Consortium for Information and Mathematics, ANFAS, http://www.ercim.org/ANFAS
  14. Borselius N., Mobile agent security, Electronics & Communication Engineering Journal, 14(5), 211-218 (2002)
  15. Chen B., Cheng H.H. and Palen J., Integrating mobile agent technology with multi-agent systems for distributed traffic detection and management system, Transport Research Part C, 17 , 1-10 (2009)
  16. Chen M., Kwon T., yuan Y. and. Leung V.C.M., Mobile agent Based Wireless Sensor Networks, Journal of Computer, 1(1), (2006)
  17. Francis S.A.J., RajSing E.B. and Bhusham S.S., Mobile Agent Based AHP Clustering Protocol In Mobile Ad Hoc Network, Advances in Computational Science and technology, 3(1), 77-96 (2010)
  18. Khan S.A. and Zafar N.A., Improving Moving Block Railway System using Fuzzy Multi-Agent Specification Language, International Journal of Innovative Computing, Information and Control, 7(7(B)), 4517-34 (2011)
  19. Milojicic D., Breugst M., Busse I., Campbell J., Covaci S., Friedman B. and White J., MASIF: The OMG mobile agent system interoperability facility, Personal Technologies, 2(2), 117-129 (1998)
  20. Onashoga S.A., Akinde A.D. and Sodiya A.S., A Strategic Review of Existong Mobile Agent–Based Intrusion Deduction System, Issue s in Information Science and Information Technbology, 6,(2009)
  21. http://ga.water.usgs.gov/edu/measureflow.html retrived September, (2011)
  22. Khan S.A, Zafar N.A., Extending Z., Notation by Some Important Operators of Soft Sets, vfast transactions on softwre engineering, 1(1), (2013)
  23. Ahmad F., Khan S.A., Fakhir I. and Khan Y.D., Petri Net based Modeling and Control of the Multi-Elevator Systems, Neural computing and applications, DOI:10.1007/s00521-013-1391-1, (2013)
  24. Ahmad F., Khan S.A., Fakhir I. and Khan Y.D., A Survey on Linear Algebraic Approaches for the Analysis of Petri Net based Models, Research journal of Recent Sciences,2(5), 21-28 (2013)
  25. Ahmad F., Khan S.A., Fakhir I., and Khan Y.D., A Survey on use of Neuro-Cognitive and Probabilistic Paradigms in Pattern Recognition, 2(4), 74-79 (2013)
  26. Mian N.A., Khan S.A., and Zafar N.A., Database Reverse Engineering Methods: What is Missing?, Res. J. Recent Sci.,2(5), 49-58 (2013)
  27. Arif, M. Some Conveity Properties for a General Integer Operator, VFAST Transactions on Mathematical Sciences with Applications, 1(1), (2013)