An energy efficient video compression using differential inter frame partial discrete wavelet transform for WMSN

Wireless multimedia sensor network (WMSN), a new domain in the field of multimedia sensing and processing, has strict constraints in terms of processing power, storage, bandwidth etc. Due to the limited processing power of the sensor nodes transmitting raw data is very costly. In this paper we propose an energy-saving video compression technique for WMSN with a newly proposed differential inter frame partial discrete wavelet technique. Considering the application domain where video frames from an array of video sensors are co-related we exploit this inter frame co-relation by taking the partial wavelet transform between the frames followed by identifying the difference of wavelet of these frames. The scheme works in accordance with a tree based routing scheme for randomly placed node with an aim to reduce energy consumption further. The evaluation of the proposed scheme is performed through simulation and statistical analysis on the simulation results. The efficiency of the scheme is measured in terms of two conflicting parameters viz. energy consumption and peak signal to noise ratio (PSNR). Simulation results confirm our scheme's supremacy over the competing schemes in terms of energy while maintaining an acceptable reconstruction quality.