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Analysis of suitable modulation scheme for compressive sensing algorithm in wireless sensor network

Sensor Review, Volume 35, Issue 2, March 2015.
Purpose Purpose of this analysis is to find out the use of compressive sensing(CS) algorithm for wireless sensor networks(WSN). Since energy efficient algorithms are required for WSN, CS is very much useful as less than 25% of the entire input data alone is required to be transmitted and reconstruction at the receiver with this reduced data set is of good quality. But the usefulness of the algorithm with suitable modulation schemes is not analyzed so far in the literature. Hence this work concentrated on the algorithm performance with different modulation schemes and different channel conditions. Design/methodology/approach Compressive sensing encoding is performed by using suitable transform on the input signal. Here , DCT and DWT is used to generate the sparse signal. Random measurement matrix is used to generate the compressed output which is reconstructed using Basis Pursuit method. Also an analysis for energy efficient modulation scheme is performed by modulating the compressed output using QPSK/BPSK/QAM and transmitted by considering Gaussian and Rayleigh Channels. Energy required per bit transmission is modeled and computed for different schemes. Findings Simulation result shows that, use of compressive sensing algorithm for data compression tremendously reduces the number of transmission bits and hence enhances the transmission and bandwidth efficiency in WSN. Results show that DWT is much suitable transform to be used for sparse measurement generation. In comparison with DCT, DWT is computationally simple and uses very less time which is expected in real time application. The reconstruction result shows that about 25% of the data sample is sufficient to recover the original image, perhaps which is the most surprising result. An extensive analysis of various modulation schemes based on energy model shows that QPSK is in AWGN channel and QAM modulation in Rayleigh channel is much suitable modulation scheme to be used in WSN for further reduction of energy consumption. Originality/value Compressive Sensing is recently gaining importance for quantization, compression, noise removal in images. In this paper this technique is used along with modulation schemes is analyzed the suitability of the algorithm for wireless sensor network.

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