Abstract: In wireless sensor networks (WSNs) the goal of Compressive sensing (CS) will cut back the variety of information transmissions and balance the traffic load throughout networks. But total number of transmissions for information assortment by victimisation pure CS is still massive. The hybrid method of victimisation cs was proposed to cut back the amount of transmissions in sensor networks. In the literature major work was done over CS technique is predicated on routing trees. Therefore, this permits us to proposed new cluster based mostly technique that uses hybrid CS for sensor networks with goal of raising the transmission performance and energy efficiency. The sensor nodes are organized into clusters. Within a cluster, nodes transmit data to cluster head (CH) while not victimisation CS. CHs use CS to transmit information to sink. We 1st propose an analytical model that studies the relationship between the scale of clusters and range of transmissions within the hybrid cs technique, aiming at finding the optimal size of clusters that will result in minimum range of transmissions. Then, we propose a centralized cluster algorithm based mostly on the results obtained from the analytical model. Finally, we present a distributed implementation of the cluster technique. In this project, we additionally are that specialize in rising the performance of energy consumption and WSN security victimisation recent Secure and efficient information transmission (SET) technique.
Keywords: Wireless sensor networks, clustering, compressive sensing, data collection