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http://dx.doi.org/10.4218/etrij.17.0116.0887

PSNR Enhancement in Image Streaming over Cognitive Radio Sensor Networks  

Bahaghighat, Mahdi (Wireless Sensor Laboratory, Electrical Engineering Department, Amirkabir University of Technology)
Motamedi, Seyed Ahmad (Wireless Sensor Laboratory, Electrical Engineering Department, Amirkabir University of Technology)
Publication Information
ETRI Journal / v.39, no.5, 2017 , pp. 683-694 More about this Journal
Abstract
Several studies have focused on multimedia transmission over wireless sensor networks (WSNs). In this paper, we propose a comprehensive and robust model to transmit images over cognitive radio WSNs (CRWSNs). We estimate the spectrum sensing frequency and evaluate its impact on the peak signal-to-noise ratio (PSNR). To enhance the PSNR, we attempt to maximize the number of pixels delivered to the receiver. To increase the probability of successful image transmission within the maximum allowed time, we minimize the average number of packets remaining in the send buffer. We use both single- and multi-channel transmissions by focusing on critical transmission events, namely hand-off (HO), No-HO, and timeout events. We deploy our advanced updating method, the dynamic parameter updating procedure, to guarantee the dynamic adaptation of model parameters to the events. In addition, we introduce our ranking method, named minimum remaining packet best channel selection, to enable us to rank and select the best channel to improve the system performance. Finally, we show the capability of our proposed image scrambling and filtering approach to achieve noticeable PSNR improvement.
Keywords
Cognitive radio; Image filtering; Multimedia transmission; PSNR; Spectrum sensing; Wireless Sensor Networks;
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Times Cited By KSCI : 3  (Citation Analysis)
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