Provided by: Jadavpur University
Date Added: Feb 2012
This paper presents a forecasting model designed using WSNs (Wireless Sensor Networks) to predict flood in rivers using simple and fast calculations to provide real-time results and save the lives of people who may be affected by the flood. The authors' prediction model uses multiple variable robust linear regression which is easy to understand and simple and cost effective in implementation, is speed efficient, but has low resource utilization and yet provides real time predictions with reliable accuracy, thus having features which are desirable in any real world algorithm. Their prediction model is independent of the number of parameters, i.e., any number of parameters may be added or removed based on the on-site requirements.