Informatics Publishing Limited

Abstract

Smart grid integrates electrical grids and communication infrastructures and forms an intelligent electricity network working with all connected components to deliver sustainable electricity supplies. Smart grid (SG) is an intelligent control system over sensors and communication. A communication is an essential part to the success of the smart grid. For that cognitive radio (CR) networks to reduce the communication interferences and improve the bandwidth efficiency for smart grid communication. There is an essential need to use the CR communication to support large-size and time-sensitive delivery for future smart grid system. In this paper, develop smart grid infrastructure the grid is primarily radial built for centralized power generation and is dependent on manual restoration. First, the design scheme of a conventional power distribution system configuration that adopts distribution automation is introduced. The possibility to store energy, to exchange power and information on demand and production among grids allows us to achieve an active distribution, which can forecast demand and production and are able to exchange power in order to enhance the quality of service. And further the project propose a priority-based approach for CR communication infrastructure based smart grid system according to the various traffic types of smart grid such as control commands, multimedia sensing data and meter readings.

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Abstract

A perceptual video coding framework based on the divisive normalization scheme, which is an effective approach to model the perceptual sensitivity of biological vision is proposed.In this paper,At the macroblock (MB) level, the normalization factors based on the structural similarity (SSIM) index is derived as an attempt to transform the discrete cosine transform domain frame residuals to a perceptually uniform space. Further dan MB level perceptual mode selection scheme and a frame level global quantization matrix optimization method is developed. Extensive simulations and subjective tests verify that, compared with the H.264/AVC video coding standard, the proposed method can achieve significant gain in terms of rate-SSIM performance and provide better visual quality

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