基于超宽带的电力监测无线传感器自适应网络研究

IF 2.6 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Kaiyun Wen, Hongshan Zhao, Shice Zhao
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引用次数: 0

摘要

电力设备状态监测是保证电网安全、可靠、经济运行的关键手段。然而,目前成熟的无线通信技术和组网协议受到窄带系统频谱效率瓶颈和多径敏感性的制约,难以满足电力监测中大流量数据的高可靠性和灵活性传输需求。本文提出了一种基于超宽带(UWB)的电力监测无线传感器网络(PMWSN)自适应组网方法,充分利用超宽带技术在抗多径干扰方面的高带宽、高时间分辨率和物理层优势。针对电力业务场景中传感器节点组网能力较弱的问题,提出了一种新的PMWSN架构,利用具有高计算能力的路由节点来采集传感器数据和网络。设计基于超宽带脉冲无线电特性的无线路由网关设备,通过低功率谱密度传输实现高速可靠的功率数据。在此基础上,提出了PMWSN自适应组网方法,使路由节点能够根据距离、链路质量和负载率综合计算最优数据传输路径和备选路径。实验结果表明,所设计的无线路由设备的最大传输速率可以达到1.7 Mbps(比IEEE 802.15.4等典型工业物联网协议高6.8倍,比LoRa高170倍),同时在100米距离内保持836.5 kbps的可靠吞吐量。此外,所提出的自组织网络技术可以快速完成组网过程,单跳数据传输的平均最大延迟为3.6 ms。此外,当网络中有新节点加入或已有节点退出时,该方法可以及时使用备选路径进行快速路由恢复,从而提高了网络的可靠性和抗破坏能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Research on Wireless Sensor Adaptive Networking for Power Monitoring Based on Ultra Wide Band

Research on Wireless Sensor Adaptive Networking for Power Monitoring Based on Ultra Wide Band

Research on Wireless Sensor Adaptive Networking for Power Monitoring Based on Ultra Wide Band

Research on Wireless Sensor Adaptive Networking for Power Monitoring Based on Ultra Wide Band

Research on Wireless Sensor Adaptive Networking for Power Monitoring Based on Ultra Wide Band

Monitoring the status of power equipment is a key means of ensuring the power grid's safe, reliable, and economical operation. However, current mature wireless communication technology and networking protocols are constrained by the spectral efficiency bottleneck and multipath sensitivity of narrowband systems, which hinders their ability to fulfill the high-reliability and flexibility transmission needs of large-flow data in power monitoring. This paper proposes an adaptive networking method for power monitoring wireless sensor networks (PMWSN) based on ultra-wideband (UWB), fully leveraging the high bandwidth, high temporal resolution, and physical layer advantages of UWB technology in resisting multipath interference. Because of sensor nodes' weak networking ability in power business scenarios, a new PMWSN architecture is presented, which uses routing nodes with high computing power to collect sensor data and network. The wireless routing and gateway device based on UWB pulse radio characteristics is designed to achieve high-speed and reliable power data through low-power spectral density transmission. Furthermore, an adaptive networking method of PMWSN is proposed, which enables routing nodes to comprehensively calculate the optimal data transmission path and alternative paths based on distance, link quality, and load rate. The experimental results show that the maximum transmission rate of the designed wireless routing device can reach 1.7 Mbps (6.8 times higher than typical industrial IoT protocols such as IEEE 802.15.4 and 170 times higher than LoRa)while maintaining a reliable throughput of 836.5 kbps within a distance of 100 meters. Moreover, the proposed self-organizing network technology can quickly complete the networking process, and the average maximum delay of single-hop data transmission is 3.6 ms. In addition, when a new node joins, or an existing node exits the network, the proposed method can promptly use alternative paths for rapid routing recovery, thereby improving the reliability and anti-destruction capability of the network.

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来源期刊
Iet Generation Transmission & Distribution
Iet Generation Transmission & Distribution 工程技术-工程:电子与电气
CiteScore
6.10
自引率
12.00%
发文量
301
审稿时长
5.4 months
期刊介绍: IET Generation, Transmission & Distribution is intended as a forum for the publication and discussion of current practice and future developments in electric power generation, transmission and distribution. Practical papers in which examples of good present practice can be described and disseminated are particularly sought. Papers of high technical merit relying on mathematical arguments and computation will be considered, but authors are asked to relegate, as far as possible, the details of analysis to an appendix. The scope of IET Generation, Transmission & Distribution includes the following: Design of transmission and distribution systems Operation and control of power generation Power system management, planning and economics Power system operation, protection and control Power system measurement and modelling Computer applications and computational intelligence in power flexible AC or DC transmission systems Special Issues. Current Call for papers: Next Generation of Synchrophasor-based Power System Monitoring, Operation and Control - https://digital-library.theiet.org/files/IET_GTD_CFP_NGSPSMOC.pdf
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