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A Communication Protocol for Fog Computing Based on Network Coding Applied to Wireless Sensors

机译:基于网络编码的雾计算通信协议在无线传感器中的应用

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A communication protocol for fog computing should be efficient, lightweight and customizable. In this work we focus in a communication protocol for fog nodes composed of wireless sensors, which are spatially distributed autonomous sensors monitoring physical or environmental conditions. Problems with data congestion and limited physical resources are common in these networks. For the optimization of data flow, it is important to apply techniques that reduce the transmitted data. We use the network coding technique to demonstrate through experiments the degree of efficiency of data transmission optimization protocols. The experiments were performed through a wireless sensors programming framework composed of TinyOS operating system, NesC programming language and TOSSIM simulator. In addition, we use the Python programming language to simulate the wireless sensor network topology. The results obtained demonstrate a better performance (50% up to 60%) when the network coding technique is applied to the data communication protocol.
机译:用于雾计算的通信协议应该高效,轻巧且可定制。在这项工作中,我们专注于由无线传感器组成的雾节点的通信协议,这些传感器是监视物理或环境状况的空间分布的自主传感器。在这些网络中,普遍存在数据拥塞和物理资源有限的问题。为了优化数据流,重要的是应用减少传输数据的技术。我们使用网络编码技术通过实验来证明数据传输优化协议的效率程度。实验是通过由TinyOS操作系统,NesC编程语言和TOSSIM模拟器组成的无线传感器编程框架进行的。此外,我们使用Python编程语言来模拟无线传感器网络拓扑。当将网络编码技术应用于数据通信协议时,获得的结果证明了更好的性能(50%到60%)。

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