Energy Efficient Clustering Method for Wireless Sensor Network by using Compressive Sensing and MEMAC

In the Wireless sensor network, there may be possibility of failure of nodes because of the power drained or addition of new nodes or may be change in location of nodes due to physical movement. So to accommodate these types of dynamic changes in sensor nodes.MEMAC (Mobile Energy Aware Medium Acces Control) protocol presents hybrid scheme of contention based and scheduled based scheme of previous MAC protocol having the purpose of overcome the drawbacks..To avoid collision and energy consumption it must uses mobility information and acquires schedule according to mobility conditions and it also needs proper designing of mobility model for real life setting. Compressive sensing (CS) can reduce the number of data transmissions and balance the traffic load of the networks. Hence, the total number of data transmissions for collection of data by using pure CS is still large. The hybrid method of using CS to reduce the number of transmissions in sensor networks. Hence, the previous work use the CS method on routing trees. In this paper, a clustering method that uses hybrid CS for sensor networks. The nodes are form in the clusters within that one sensor act as cluster head and other are cluster member. Within a cluster, nodes send data to cluster head (CH) without using CS. CHs use CS to transmit data to sink. In this paper Compressive sensing and MEMAC protocol is used for reducing the energy consumption of sensor nodes and also to reduce the congestion in the network.