智能电网邻域网络非并发应用的机会混合网络编码数据采集方案

N. Le, W. Benjapolakul
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引用次数: 2

摘要

智能电网邻域网络(sgnan)是智能电网的重要组成部分,是下一个电网现代化的方向。它支持仪表和公用事业之间的双向通信,从而实现新的智能应用。然而,许多SG NAN应用,如高级计量基础设施(AMI)或相量测量单元(PMU),为了满足当前和未来的应用,在延迟和可靠性方面都有严格的要求。在本文中,我们采用网络编码的思想解决了这一挑战,证明了网络编码的可靠性和延迟优势,特别是对于无线网络。建立了一个数学模型,对马尔可夫链方法在数据采集中的网络编码技术进行了比较研究。分析结果表明,该方法在SG - NAN中具有潜在的优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Opportunistic Hybrid Network Coding data gathering scheme for non-concurrent applications in Smart Grid Neighborhood Area Network
Smart Grid Neighborhood Area Network (SG NAN) is the most important part of Smart Grid, the next electric network modernization. It enables the two way communication between meters and utilities to enable new intelligent applications. However, many SG NAN applications such as Advanced Metering Infrastructure (AMI) or Phasor Measurement Unit (PMU) have strictly requirement in both latency and reliability in order to fulfill the current and upcoming applications. In this paper, we solve this challenge by applying the idea of network coding, which has been proved reliable and latency beneficial, especially for wireless network. We build mathematical model which shows the comparative study of network coding technique in data gathering by using Markov chain approach. The analytical results show the potential advantages of our proposed method in SG NAN.
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