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Energy-Efficient Design of the Secure Better Portable Graphics Compression Architecture for Trusted Image Communication in the IoT

机译:物联网中可信图像通信的安全更好的便携式图形压缩架构的节能设计

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Energy consumption has become a major concern in portable applications. This paper proposes an energy-efficient design of the Secure Better Portable Graphics Compression (SBPG) Architecture. The architecture proposed in this paper is suitable for imaging in the Internet of Things (IoT) as the main concentration is on the energy efficiency. The novel contributions of this paper are divided into two parts. One is the energy efficient SBPG architecture, which offers encryption and watermarking, a double layer protection to address most of the issues related to privacy, security and digital rights management. The other novel contribution is the Secure Digital Camera integrated with the SBPG architecture. The combination of these two gives the best quality imaging in an energy efficient way without compromising security. To estimate the power in the proposed architecture a pattern-independent method has been adopted where many simulations run in the design with different inputs and the average of the power dissipated is considered. The current and voltage values are considered from the output of the design, in order to calculate power. This is achieved with the help of sensor and power blocks available in Simulink. From the results obtained, it was observed that with the same peak signal to noise ratio, the power consumption is substantially reduced, up to 19%.
机译:能源消耗已成为便携式应用中的主要问题。本文提出了一种可节能的便携式图形压缩(SBPG)架构的节能设计。本文提出的架构适用于物联网(物联网)中的成像,因为主要浓度是能效。本文的新颖贡献分为两部分。一个是节能SBPG架构,提供加密和水印,双层保护,以解决与隐私,安全和数字版权管理有关的大多数问题。其他新颖的贡献是与SBPG架构集成的安全数码相机。这两者的组合在不影响安全性的情况下以节能的方式提供最佳质量成像。为了估计所提出的体系结构中的功率,已经采用了独立于独立的方法,其中许多模拟在设计中具有不同输入的设计和考虑功率耗散的平均值。从设计的输出中考虑电流和电压值,以便计算电力。这是在Simulink中提供的传感器和电源块的帮助下实现的。从所获得的结果,观察到,通过相同的峰值信噪比,功耗大大减少,高达19%。

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