Abstract: Increasing the lifetime of Wireless Sensor Network remains a prime concern in its design and implementation. The problem is addressed through various techniques for optimizing the data compression techniques and the routing protocols. Conventional compression techniques require combined optimization of data compression and routing protocol to obtain increased efficiency. Compressive Sampling theory allows to decouple the data compression and routing. Hence increased compression ratio itself improves the throughput of the wireless sensor network system. This paper is a survey on Compressed Sensing techniques which uses the alternate sparse sample domain to which the original data can be transformed.

Keywords: Sensor Network, Wavelet, Data Compression, Compressive Sensin.