基于IEEE802.15.4的智能电网无线局域网可靠通信模型

IF 0.6 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS
Jafar Rasouli, S. Motamedi, Mohamad Baseri, Mahshad Parsa
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引用次数: 3

摘要

基于无线传感器和执行器网络(wsan)创建网络物理系统(cps)对于提高智能电网的性能具有巨大的潜力。此外,由于IEEE802.15.4具有一些显著和独特的特性,因此被广泛认为是适合无线局域网的标准。由于智能电网应用中存在噪声环境,无线局域网需要提供严格的服务质量(QoS)。虽然分析模型已经在文献中进行了研究,但它们并没有为智能电网提供一个完整的模型。在本文中,我们增加了一个mac级缓冲区,并提出了一种新的马尔可夫链模型。与以往的研究相比,本文考虑了重传限制、确认、分组长度变化、饱和流量和分组生成的退化分布。该算法已在自行设计的无线局域网平台上进行了实验实现和评价。分析模型很好地预测了我们的穷举实验。此外,蒙特卡罗模拟验证了数学结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Reliable Communication Model based on IEEE802.15.4 for WSANs in Smart Grids
Creating cyber-physical systems (CPSs) based on wireless sensor and actuator networks (WSANs) has great potential to improve the performance of Smart Grid. In addition, IEEE802.15.4 has widely been regarded as an appropriate standard for WSANs, due to some striking and unique features. WSANs require provisioning strict quality of service (QoS) due to noisy harsh environments in Smart Grid applications. Although analytical models have been studied in the literature, they have not provided a full-fledged model for Smart Grid. In this paper, we have added a MAC-level buffer, and a novel Markov chain model has been also proposed. By comparison with previous studies, retransmission confines, acknowledgment, packet length variation, saturated traffic, and degenerate distribution of packet generation are accounted for. The algorithm has been experimentally implemented and appraised on a platform with self-designed WSAN. The analytical model predicts well our exhaustive experiments. Further, Monte Carlo simulations validate mathematical results.
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来源期刊
Ad Hoc & Sensor Wireless Networks
Ad Hoc & Sensor Wireless Networks 工程技术-电信学
CiteScore
2.00
自引率
44.40%
发文量
0
审稿时长
8 months
期刊介绍: Ad Hoc & Sensor Wireless Networks seeks to provide an opportunity for researchers from computer science, engineering and mathematical backgrounds to disseminate and exchange knowledge in the rapidly emerging field of ad hoc and sensor wireless networks. It will comprehensively cover physical, data-link, network and transport layers, as well as application, security, simulation and power management issues in sensor, local area, satellite, vehicular, personal, and mobile ad hoc networks.
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