Internet of Things (IoT) becomes a fabulous domain as its ruling spreads throughout the universal domains. In IoT, Wireless Sensor Network (WSN) is the commonly used technology today. But when dealing with WSN, it is highly prone to data security and energy efficiency during data transmission, due to interference in transmission path and transmission of big size of data. Existing mechanisms have used multiple accessing techniques for effective transmission but failed in transmission due to less memory storage of sensor node and also lacked in preserving originality of the compressed data due to bad compression ratio. So, to deal with this scenario, a compressive slender penetrative etiquette is designed as our proposed work for effective transmission of data in WSNs that attains high data transmission rate with diminishing of interference and attenuation. The optimal way for transferring data with limited energy is achieved with a compressive sensing technique called Chaotic Demodulation Stratagem. It makes use of a Mock Random Generator which generates a high-speed sequence which multiplies the signal in the analog domain. The obtained output from the low pass filter is then supposed to sampling process at a rate lower than the Nyquist rate. Similarly, the other end of the signal reconstruction is done by means of the Convex relaxation iterative algorithm.