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Abstract:The existing power grid is going through a massive transformation. Smart grid technology is a radical approach for improvisation in prevailing power grid. Integration of electrical and communication infrastructure is inevitable for the deployment of Smart grid network. Smart grid technology is characterized by full duplex communication, automatic metering infrastructure, renewable energy integration, distribution automation and complete monitoring and control of entire power grid. Wireless sensor networks (WSNs) are small micro electrical mechanical systems that are deployed to collect and communicate the data from surroundings. WSNs can be used for monitoring and control of smart grid assets. Security of wireless sensor based communication network is a major concern for researchers and developers. The limited processing capabilities of wireless sensor networks make them more vulnerable to cyber-attacks. The countermeasures against cyber-attacks must be less complex with an ability to offer confidentiality, data readiness and integrity. The address oriented design and development approach for usual communication network requires a paradigm shift to design data oriented WSN architecture. WSN security is an inevitable part of smart grid cyber security. This paper is expected to serve as a comprehensive assessment and analysis of communication standards, cyber security issues and solutions for WSN based smart grid infrastructure.

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Birth weights and subsequent body weights of individual kits of New Zealand White rabbits were analysed to estimate the impact of direct additive genetic, maternal additive genetic and permanent environmental litter effect on growth traits i.e. birth weight (BW), 15th day body weight (15dW), 30th day body weight (30dW), 90th day body weight (90dW) and 180th day body weight (180dW). The variance components and genetic parameters were estimated using Sire Model and two different animal models. Effect of litter size was significant on all the growth traits except 90dW. Kits born in winter season had significantly higher BW, 30dW and 90dW than the kits born in summer season. The heritability estimate for BW ranged from 0.266 (Sire Model) to 0.540 (Animal Model 2). The permanent effect of litter (c 2 ) was highest (0.288Á0.310) just before weaning at 30dW and decreased after weaning. The effect of indirectly inherited maternal genetic effect (m 2 ) was present at early juvenile stage of growth (15dW, 30dW and 90dW) and was nil for 180dW. Selection for better growth would be more reliable at 180dW because at this age both c 2 and m 2 became lower than in previous stages of growth. Using Animal Model 1, repeatabilities of doe effects on BW, 15dW, 30dW, 90dW and 180dW were 0.35, 0.44, 0.40, 0.35 and 0.01, respectively. Animal Model 1 was better than Animal Model 2 in partitioning of variances when the maternal genetic variance (s 2 m ) was very low or zero.