Enhancement of Compressed Image Transmission in WMSNs Using Modified μ -Nonlinear Transformation

Ammar Bouchemel, Djamel Abed and Abdelkrim Moussaoui.

Volume: 22 , Issue: 5 , 934 - 937, 2018

IEEE Communications Letters

https://doi.org/10.1109/LCOMM.2018.2812821

Abstract:

Multimedia content delivery applications over wireless sensor networks have been progressively popular. The crucial obstacle to communicating compressed images over wireless multimedia sensor networks (WMSNs) has been the lack of suitable energy efficient processing architectures and strategies. In this letter, we propose a low-complexity energy efficient scheme to improve the transmission quality of images compressed by the embedded zerotrees of wavelet transforms and set partitioning in hierarchical trees algorithms in the WMSNs based on an orthogonal frequency-division multiplexing technique. The proposed scheme use a simple post-inverse discrete Fourier transform modified μ nonlinear transformation, called μ-MNLT. Simulation results show the effectiveness of the proposed approach, which gives an improvement of peak signalto-noise ratio (SNR) of about 30 dB (at SNR = 8 dB) without any bit-error-ratio degradation.

Keywords

Peak to average power ratio, Signal to noise ratio, Lips, Discrete wavelet transforms, Quadrature amplitude modulation, AWGN