Node Allocation Strategy for Low Latency Neighborhood Area Networks in Smart Grid

IF 6.7 2区计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY

IEEE Transactions on Network Science and Engineering Pub Date : 2024-07-15 DOI:10.1109/TNSE.2024.3427840

Bhargavi Goswami;Raja Jurdak;Ghavameddin Nourbakhsh

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引用次数: 0

Abstract

Neighborhood area networks (NANs) lay the foundation for robust communication in smart grids to support stable and secure end-user connectivity with substations. Firstly, the current solutions are unrealistic to meet the time-bound requirements for smart grid applications with large number of intermediate node connectivity in NANs. Secondly, the existing Low-power Wireless Personal Area Network (LoWPAN) does not scale up to a thousand nodes while meeting the latency requirement of delay-critical smart grid applications. To address both the scaling and latency issues, this paper proposes the use of long-range communication, such as 5G, to complement short-range communication in NANs that effectively create a two-layer, primary and secondary networks. We identified the need for a Node Allocation Strategy (NAS) to reduce the latency for scaling NANs. NAS, particularly, is designed for NANs with thousands of smart meter nodes located at secondary networks. We model the NAS to reduce the hop count between smart meters and the utility center through an algorithm designed and proposed in this paper. The proposed NAS communication strategy for NANs applied to various dense and sparsely populated real smart grid scenarios to examine the efficacy of this approach.

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智能电网中低延迟邻域网络的节点分配策略

邻域网络（NAN）为智能电网的稳健通信奠定了基础，可支持终端用户与变电站之间稳定、安全的连接。首先，目前的解决方案不切实际，无法满足智能电网应用对 NAN 中大量中间节点连接的时限要求。其次，现有的低功耗无线个人局域网（LoWPAN）无法在满足智能电网应用对延迟要求的同时，将节点数量扩展到上千个。为了解决扩展性和延迟问题，本文建议使用长距离通信（如 5G）来补充 NAN 中的短距离通信，从而有效地创建一个双层、主网络和辅助网络。我们认为有必要采用节点分配策略（NAS）来减少延迟，从而扩大 NAN 的规模。NAS 尤其适用于在二级网络中拥有数千个智能电表节点的 NAN。我们建立了 NAS 模型，通过本文设计和提出的算法减少智能电表与公用事业中心之间的跳数。我们将针对 NANs 提出的 NAS 通信策略应用于各种密集和稀疏的真实智能电网场景，以检验这种方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

IEEE Transactions on Network Science and Engineering Engineering-Control and Systems Engineering

CiteScore

12.60

自引率

9.10%

发文量

393

期刊介绍： The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.