Cyber Times International Journal of Technology & Management

Wireless Sensor Networks, made up of low power sensor nodes, are used to gather data from a sensing field. They find applications in the fields of defence and reconnaissance,  disaster management, weather surveillance, traffic control etc. To prolong the network lifetime it is imperative that the data acquired is in an energy-efficient manner. Compressive Sensing is a simple and efficient data acquisition technique that samples a signal at a rate less than the traditional Nqyuist rate. Thus, the theory reconstructs a signal from a far smaller set of sampled values. It is based upon the two principles of Sparsity and Incoherence. The paper presents a review on concepts of Compressive Sensing along with its various applications. The literature elucidates many applications of Compressive Sensing in the field of image processing and explores its potential in the field of Wireless Sensor Networks. The paper also throws light on some applications where Compressive Sensing can be incorporated to produce better results.