Flood is a frequently occurring natural disaster in the coastal areas. We, the human beings and our resources are victims of such natural catastrophe. For example, flood. Though flood cannot be totally uprooted by human being still it can be predicted hence major steps can be taken to prevent it. In order to predict & prevent flood structural and non-structural methods are available. In this paper we propose a model to deploy different types of sensors in the river bed forming a Wireless Sensor Network (WSN) for predicting the flood situation and warn the local office & administration regarding the situation and could take preventive steps. WSN is preferred due to its cost effectiveness, faster data transfer and accurate computation of required parameters for flood prediction & prevention. Our model is a simple and cost effective one to predict and prevent flood by regulated flushing of excess amount of water at the barrage. It has an easy computation for managing the barrage water by sensing the upcoming water amount and water speed at some distance in a coordinated manner. The flush rate for draining water is computed before the excess amount of water is reached the barrage causing flood. Hence the computed amount of water is drained out at the barrage to prevent the flood. The wireless sensor network in our model was simulated by using NS2 and the computations made by different sensors are implemented at barrage using MATLAB.

1. Flooddefinitionhttp://www. ga. gov. au/scientifictopics/hazards/flood/basics/what
2. Type of flood, SAARC Disaster Management Centre. http://saarc-sdmc. nic. in/pdf/flood. pdf
3. Everette Adams. Preparatory Definitions for Understanding Target Localization in Wireless Sensor Networks. IJEIT. Volume 2, Issue 11, May 2013
4. Victor Seal, Arnab Raha, Shovan Maity, Souvik Kr Mitra, Amitava Mukherjee and Mrinal Kanti Naskar. A simple flood forecasting scheme using wireless sensor networks. International Journal of Ad hoc, Sensor & Ubiquitous Computing (IJASUC) Vol. 3, No. 1, February 2012
5. Basha, Elizabeth, and Daniela Rus. "Design of early warning flood detection systems for developing countries. " Information and Communication Technologies and Development (ICTD) 2007. International Conference on. IEEE, 2007.
6. Basha, Elizabeth A. , Sai Ravela, and Daniela Rus. "Model-based monitoring for early warning flood detection. " Proceedings of the 6th ACM conference on Embedded network sensor systems. ACM, 5-7 November 2008.
7. Danny Hughes, Phil Greenwood, Gordon Blair, Geoff Coulson, Florian Pappenberger, Paul Smith and Keith Beven. An Intelligent and Adaptable Grid-based Flood Monitoring and Warning System (DRAFT). UK eScience All Hands Meeting 5th, 2006
8. Naveed Ahmad, Mureed Hussain, Naveed Riaz, Fazli Subhani, Sajjad Haider, Khurram. S. Alamgir, Fahad Shinwari. Flood Prediction and Disaster Risk Analysis using GIS based Wireless Sensor Networks, A Review. Journal of Basic and Applied Scientific Research. ISSN 2090-4304, 2013
9. Lívia C. Degrossi, Guilherme G. do Amaral, Eduardo S. M. de Vasconcelos, João P. de Albuquerque, Jó Ueyama. Using Wireless Sensor Networks in the Sensor Web for Flood Monitoring in Brazil. Proceedings of the 10th International ISCRAM Conference. May 2013
10. Jirapon Sunkpho and Chaiwat Ootamakorn. Songklanakarin J. Sci. Real-time flood monitoring and warning system. Vol. 33 (2), 227-235, Mar. - Apr. 2011
11. Yu, Liyang, Neng Wang, and Xiaoqiao Meng. "Real-time forest fire detection with wireless sensor networks. " Wireless Communications, Networking and Mobile Computing, 2005. Proceedings. 2005 International Conference on. Vol. 2. IEEE, 2005.
12. Ivan Stoianov, Lama Nachman, Sam Madden. PIPENET: A Wireless Sensor Network for Pipeline Monitoring. IPSN'07, April 25-27, 2007.
13. Vinicio Anthone, Satoru Oishi. A wireless mesh sensor network framework for river flood detection which can be used as an emergency communications network in case of disaster. 11thInternational Conference on Hydroinformatics HIC 2014
14. Sultanullah Jadoon, Salman Faiz Solehria, Mubashir Qayum1. A Proposed Least Cost Framework of Irrigation Control System Based on Sensor Network for Efficient Water Management in Pakistan. International Journal of Basic & Applied Sciences IJBAS-IJENS Vol: 11 No: 02. April, 2011
15. Ultrasonic level sensor http://www. engineersgarage. com/articles/what-is-level-sensor?page=4
16. Ultrasonic flow sensor http://en. wikipedia. org/wiki/Ultrasonic_flow_meter
17. Ultrasonic flow meter http://www. engineeringtoolbox. com/ultrasonic-doppler-flow-meter-d_495. html
18. F. Shebli, I. Dayoub and J. M. Rouvaen. Minimizing energy consumption within wireless sensors networks. Ubiquitous Computing and Communication Journal ,2007
19. M. N. Halgamuge, M. Zukerman, and K. Ramamohanarao, H. L. vu. An estimation of sensor energy consumption. Progress in Electromagnetics Research B, Vol. 12, 259–295, 2009
20. K. C. Patra. Hydrology & Water resources Engineering. 2nd edition . Alpha Science Intl Ltd 12 August, 2008
21. A. K. Mohanty. Fluid Mechanics. Prentice-Hall of India Private Limited, Second edition 2004.
22. Indira Priyadarshinee, Kabita Sahoo, Chandrakant Mallick. Flood Prediction and Prevention through Wireless Sensor Networking (WSN): A Survey. International Journal of Computer Applications Vol 113 No. 9, March 2015.

Wireless Sensor Networking (wsn) Flood Prediction Sensor Computational Node Manning's Rule.