Towards WMSN performance using different packet size

Silva, Cesar A. da; Ismael, Marcelo A. C.; Zaina, Claudio Maximiliano; Ruiz, Linnyer B.

doi:10.1109/icsens.2016.7808714

Cited by 1 publication

(3 citation statements)

References 6 publications

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“…SSIM gives IQA from pixel based stage to a structure based stage while FSIM is used to understand images mainly according to low level features. It gives good prediction capability, higher accuracy and robust so in Table 6, we compare our algorithm with [52,72,96] based on FSIM. The obtained results show that JOPSS outperforms other existing approaches not only in PSNR but also in FSIM.…”

Section: Performance Evaluation Of the Proposed Model Found On Psnr Cmentioning

confidence: 99%

“…The low rate of data transmission on existing standards such as IEEE 802.15.4 and their low performance in delay-sensitive applications [52].…”

mentioning

confidence: 99%

“…Low energy efficiency due to high retransmission [62][63][64]. • These networks were essentially developed for low data rate applications with low efficiency for multimedia transmission [52]. • Low spectrum efficiency [65,66].…”

mentioning

confidence: 99%

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Image Transmission over Cognitive Radio Networks for Smart Grid Applications

2019

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Today, Smart Grids (SGs), as the goal of the next-generation power grid system, span extremely wide aspects from power generation to end-user utilities. In smart grids, Energy and Information flows are mutually dependent and performance degradation of one side may have a high impact on the other side. In this work, we introduce our architecture for monitoring of Wind Turbine (WT) farms in smart grids. In our proposed system an industrial camera is embedded on a Wireless Cognitive Radio node for each WT to capture appropriate images and stream videos to the cognitive coordinator. Any packet loss in transmission between an embedded cognitive node and the coordinator can degrade peak signal-to-noise ratio (PSNR) of the received images. The image streaming is a delay sensitive transmission which should be done in harsh environments in SGs. To tackle these challenging issues, we introduce our efficient model, called JOPSS, for joint optimization of both packet size and Number of Spectrum Sensing Iterations (NSSI) during image transmission in time-restricted conditions. We define our proposed objective function as the quotient of the Overhead Time and the Effective Transmission Time (ETT). In addition, we introduce our methods based on the Minimum of Overhead Time Channel Selection (MOTS) for the efficient channel selection along with Dynamic Parameter Updating Procedure (DPUP) to benefit different strategies in Mandatory and Proactive Handoffs (MHO/PHO). The obtained results show that noticeable improvements in both PSNR and feature-similarity (FSIM) can be achieved on our models JOPSS and JOPSS-SAFE, respectively.

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Section: Performance Evaluation Of the Proposed Model Found On Psnr Cmentioning

confidence: 99%

“…The low rate of data transmission on existing standards such as IEEE 802.15.4 and their low performance in delay-sensitive applications [52].…”

mentioning

confidence: 99%