Visualization-based monitoring in early warning systems with wireless sensor networks

With the impact of global climate change, natural disasters such as prolonged drought, earthquakes, and tsunamis, have constantly increased over recent decades, putting those living in these areas great danger. A disaster warning system has been established an indispensable need to minimize possible high risks that cause human casualties. Several current systems focus on building wireless sensor networks for forecasting monitoring well phenomena. This paper aims develop a comprehensive model integrates data visualization operations identify simultaneously predict threat proceedings disasters. technique can handle big based sensing from shows overview graphs about disasters' variability, floods, areas. Based results collected techniques, issue alerts interest region real time. In addition, we propose some levels which only area with essential must be warned. save energy consumption other safety. work promising points effectiveness.