工业无线传感器-执行器网络的自主交通感知调度

Xia Cheng, M. Sha
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引用次数: 6

摘要

近年来,低功耗无线传感器-执行器网络(wsan)在过程工业中得到了迅速的应用。为了满足恶劣工业环境中对可靠和实时通信的关键需求,工业WSAN标准,如WirelessHART, ISA100, wiia - fa和6TiSCH,做出了一组特定的设计选择,例如采用时隙信道跳频(TSCH)技术。这样的设计选择将工业无线传感器网络与传统的无线传感器网络(wsn)区分开来,后者是为尽力而为的服务而设计的。最近,人们对开发新方法来实现运行TSCH和低功耗和有损网络路由协议(RPL)的工业WSANs的自主传输调度越来越感兴趣。我们的研究表明,当前的方法在分配时隙和信道时没有考虑不同设备的流量负载,这在面对高数据速率时严重影响了网络性能。本文介绍了一种新的基于流量感知的工业无线局域网传输调度方法——ATRIA。运行ATRIA的设备可以根据其本地路由信息检测流量负载,然后相应地调度传输,而不需要与邻近设备交换信息。实验结果表明,与最先进的基线相比,ATRIA提供了更高的端到端网络可靠性和更低的端到端延迟,而不会引入额外的开销。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ATRIA: Autonomous Traffic-Aware Scheduling for Industrial Wireless Sensor-Actuator Networks
Recent years have witnessed rapid adoption of low-power Wireless Sensor-Actuator Networks (WSANs) in process industries. To meet the critical demand for reliable and real-time communication in harsh industrial environments, the industrial WSAN standards, such as WirelessHART, ISA100, WIA-FA, and 6TiSCH, make a set of specific design choices, such as employing the Time Slotted Channel Hopping (TSCH) technique. Such design choices distinguish industrial WSANs from traditional Wireless Sensor Networks (WSNs), which were designed for best-effort services. Recently, there has been increasing interest in developing new methods to enable autonomous transmission scheduling for industrial WSANs that run TSCH and the Routing Protocol for Low-Power and Lossy Networks (RPL). Our study shows that the current approaches fail to consider the traffic loads of different devices when assigning time slots and channels, which significantly compromises network performance when facing high data rates. In this paper, we introduce ATRIA, a novel Autonomous Traffic-Aware transmission scheduling method for industrial WSANs. The device that runs ATRIA can detect its traffic load based on its local routing information and then schedule its transmissions accordingly without the need to exchange information with neighboring devices. Experimental results show that ATRIA provides significantly higher end-to-end network reliability and lower end-to-end latency without introducing additional overhead compared with a state-of-the-art baseline.
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