Priority Aware Interference Mitigation Techniques for Coexistence of Wireless Technologies in Smart Utility Networks

Badrun Nahar, M. S. Alam, Shamim Ara Shawkat, M. A. Hoque
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引用次数: 1

Abstract

In recent years, Smart Grid (SG) is envisioned to be the next generation electric power system by replacing traditional power grid due to its advantage of using two way communications. To implement reliable SG wireless communication networks, IEEE introduced a new wireless standard (IEEE802.15.4g) for Smart Utility Networks (SUNs). However, SUN operates on 2.4 GHz unlicensed band which is overlapped with Wireless Local Area Networks (WLANs) that leads to coexistence in Smart Utility Networks. In this paper, the coexistence problem of SUN is addressed in terms of homogeneous and heterogeneous interferences. To mitigate the homogeneous interference, Contention Access Period (CAP) and Contention Free Period (CFP) of a super frame of IEEE 802.15.4g is used to access the channel using slotted CSMA/CA algorithm by modifying the Backoff Period (BP) and Clear Channel Assessment (CCA) period for different priority data. An analytical model is developed using Markov chain, through which we demonstrate the accuracy of the proposed model in terms of throughput, channel access delay, probability of successful transmission and collision for nodes with different priority data. Performance evaluation is further investigated by comparing the proposed scheme with the existing PA-MAC. A channel switching mechanism is explored to mitigate the heterogeneous interference by the prediction of Naive Bayes Classifier. Predicted result shows that proposed mechanism effectively mitigates the heterogeneous interference by choosing the non-overlapping and non-coexisting channel.
智能公用事业网络中无线技术共存的优先级感知干扰缓解技术
近年来,智能电网因其使用双向通信的优势,被设想为取代传统电网的下一代电力系统。为了实现可靠的SG无线通信网络,IEEE为智能公用事业网络(sun)推出了新的无线标准IEEE802.15.4g。然而,SUN在2.4 GHz的无许可频段上运行,这与无线局域网(wlan)重叠,导致智能公用事业网络共存。本文从同质干扰和异质干扰两方面讨论了太阳系统的共存问题。为了减轻同质干扰,采用IEEE 802.15.4g超帧的争用访问周期(CAP)和争用自由周期(CFP),通过修改不同优先级数据的Backoff Period (BP)和Clear channel Assessment (CCA)周期,采用分槽CSMA/CA算法访问信道。利用马尔可夫链建立了一个解析模型,从吞吐量、信道访问延迟、传输成功概率和不同优先级数据节点的冲突等方面验证了该模型的准确性。通过与现有的PA-MAC进行比较,进一步研究了性能评估。通过朴素贝叶斯分类器的预测,探讨了信道切换机制,以减轻异构干扰。预测结果表明,该机制通过选择非重叠和非共存信道,有效地减轻了异构干扰。
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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