Multiple Event Detection in WSN Using Compressed Sensing Health Monitoring Perspective

Abstract

Wireless Sensor Network (WSN) has tremendous growth due to low cost sensors and well planned techniques. Remote sensor systems are considered as expansive systems made of countless hubs with energy to detect the earth and discuss it with administrator. Event detection in remote systems is a method for handling inspected information specifically on the sensor hubs, accordingly, decreasing the requirement for multi-bounce correspondence with the base station of the system. This research has studied the existing work of event detection as well as health monitoring using WSN. An algorithm has been proposed for route discovery by using trust model and GA (Genetic Algorithm). The relief of the impacts of health monitoring is done by ANN (Artificial Neural System). The assessment depends on QoS parameters, to be specific, Throughput, Energy Consumption, PDR (Packet Delivery Ratio).The comparison is being drawn of the basis of with and without GA. The performance analysis of the network with the scenarios consists of 50 nodes within the area 1000X1000 m2.