Abstract
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.
Highlights
Nowadays, the concept of Smart Grid (SG) networks as the generation of electricity networks covers various aspects of technical, economical and social affairs
The results clearly show that the proposed JOPSS model increased the image peak signal-to-noise ratio (PSNR) on average 3.2 dB while the JOPSS-Scrambling and Filtering based Enhancement (SAFE) model can even enhance it about 8.2 dB
Due to the importance of intelligent monitoring, inspection and maintenance technologies in emerging smart grids, a special architecture for image streaming in wind turbine farms was presented based on cognitive radio networks (CRNs)
Summary
The concept of Smart Grid (SG) networks as the generation of electricity networks covers various aspects of technical, economical and social affairs. In these networks, a two-way path is considered for both Energy and Data flows [1,2,3,4]. Resources [10], transmission lines, substations, distribution lines, and end-users as an integrated complex system [11,12] This description covers a full range of energy systems from the production point to the endpoints at the customer section. Its purpose is to provide a clean, safe, reliable, flexible, and stable system In these wide networks, interoperability of various production technologies, Appl.
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