Journal of Current Trends in Electrical Engineering ISSN: 3107-4375 (Online)

Authors:-Shyamala SC

Abstract:-Wireless Sensor Networks consists of sensor nodes continuously monitoring environment data and then transmitting to the Base Station (BS). If data is not processed before sending to BS, it consumes more energy since energy required for transmission is more compared to energy required for processing. Therefore a Traditional Compressive Sampling (CS) data aggregation method is used. This CS method for each CS measurement more number of sensors are involved leads to ineffective consumption of energy in the Wireless Sensor Networks (WSNs). To resolve the issue a new method in the network layer called Weighted Compressive Data Aggregation (WCDA) is implemented in this project. These algorithm sensor nodes are able to control the power to forming energy efficient routing trees and to minimize the consumption of energy by use the sparse random measurement matrix. Another data aggregation method called as Cluster-based Weighted Compressive Data Aggregation (CWCDA) is implemented in this project. CWCDA is the improved version of WCDA and it significantly reduces the energy consumption in WSN model. CWCDA algorithm at each cluster runs the WCDA algorithm to decrease number of sensor nodes participated throughout Compressive sensing. In the algorithm, for each cluster candidate nodes are selected to each collector node forms the collection tree have little structure than the WCDA algorithm. The WCDA and the CWCDA algorithms are compared and an analysis of energy consumption and life time of the network in terms of sink location, CS measurement samples and number of sensor nodes and clusters.