Maximization of network capacity in a self configurable wireless sensor networks

Abstract

The smart and small sensors having the capability of sensing, processing and communicating are internetworked to form a Wireless Sensor Network (WSN). Self configurable behavior is the desirable quality of the WSN during the data transfer from the source node to the destination node. WSN is widely used in environmental monitoring, health monitoring, inventory management, intrusion detection, surveillance, road traffic monitoring, animal habitat monitoring and in many other applications. The major constraints of the WSN are the data rate, bandwidth utilization, energy consumption and lifetime of the node. Out of these the solution for the data rate and bandwidth utilization is proposed in this research work. The proposed system is to meet the increase in demand for the bandwidth in proportion to the growing population and technology. Huge amount of data will be collected by the sensors deployed in the field under observation which consumes larger bandwidth. The essential criteria to be focused in the case of wireless communication is bandwidth utilization, hence compressive sensing is adopted to reduce the number of the samples used to reconstruct the data in the receiver. Compressive Sensing (CS) also called as sub Nyquist sampling requires only a lesser number of samples from the monitoring field to reconstruct the original signal. CS relies on the sparsity and the incoherence principle. newline