An Energy Conservation Clustering Scheme with Compressive Sensing Scheme for WSN

A Wireless Sensor Network (WSN) network comprises a vast range of small sensor nodes to establish communication. Due to its minimal deployment cost, WSN has been widely utilized in different applications such as air pollution monitoring, medical applications, detection of enemies, target tracking, and so on. Generally, sensor nodes are battery-operated with limited energy supply to the nodes. In WSNs, clustering is a widely adopted concept for topology management in the network. It involves the grouping of several nodes for management and execution of tasks in a distributed manner for effective management of resources. With effective clustering techniques, energy consumption needs to be improved with a reduction in data transmission delays between source and destination node in the network. Through the use of a compressive sensing technique in a WSN, the transmission count and number of data processed can be reduced while radio resources are used with limited energy. This paper proposed energy-aware clustering with a compressive sensing technique for minimal delay compared with conventional techniques. The proposed method has a minimum delay of 9.22 seconds at 20 nodes, 29.34 seconds at 40 nodes, 63.85 seconds at 60 nodes, 113.47 seconds at 80 nodes, and 146.72 seconds at 100 nodes.