Compressive Sensing in Wireless Sensor Networks – a Survey

When Donoho and Candes, Rosenberg and Tao separately introduced the concept of compressive sampling (CS) to the scientific community, the entire basis of traditional sampling was at jeopardy. Of course, what Nyquist had said still holds and is unquestionable, but to achieve communication standards at par with the traditional ones but with far fewer samples, is something that drove hundreds to work in this particular area of research. Since that time till now, it has been explored in various areas of science and engineering like astrophysics, optics, etc. and image processing, array processing and radar, distributed processing, networking, respectively. Among these, the application of CS in wireless sensor networks is our topic of elucidation here. Our paper aims to review most of the work that has been done so far in the above-mentioned area, so that the scientific community has a clear understanding of the immense potential CS holds for this field of study.