Earthquake Early Warning System by IOT using Wireless Sensor Networks

The Wireless sensor network (WSN) is spatially distributed sensors in an autonomous manner to monitor physical environmental conditions. The Internet of things (IOT) is the network of computed physical objects which enables these things to connect, collect and exchange data. In this paper, we propose an earthquake early warning system by means of an IOT in WSN. The sensors are placed in the surface of the earth. When an earthquake occurs, both compression P wave and transverse S wave radiates outward the epicenter of the earth. The P wave, which travels fastest, trips the sensors, placed in the landscape. It causes early alert signals to be transfer ahead, giving humans and automated electronic system a warning to take precautionary actions. So that before the damage begins with the arrival of the slower but stronger S waves, the public are warned earlier. The signal from each sensor which senses the P wave and which has Zigbee transmitter transfers the alert signal to the gateway. The gateway which has the Zigbee receiver and acts as an IOT transfers the warning to smart phones. Thus early alert message is received by the people in terms of location, time and other parameters. Eventually, many of the human lives can be saved. The software used here is LABVIEW where the three angle axis of the sensor can be sensed and detected when the sensors are interfaced with this software.