Autonomous Traffic-Aware Scheduling for Industrial Wireless Sensor-Actuator Networks
Autonomous Traffic-Aware Scheduling for Industrial Wireless Sensor-Actuator Networks
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DOI：
10.1145/3561056
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发表时间：
2022-09
影响因子：
4.1
通讯作者：
Xia Cheng;M. Sha
中科院分区：
文献类型：
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作者：
Xia Cheng;M. Sha
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采用。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。这种设计选择将工业WSAN与传统的无线传感器网络区分开来，后者是为尽力而为服务而设计的。最近，人们越来越关注开发新的方法，以实现运行TSCH和低功耗和有损网络路由协议（RPL）的工业WSAN的自主传输调度。我们的研究表明，目前的方法未能考虑不同设备的流量负载时，分配时隙和信道，这显着损害网络性能时，面对高数据速率。在这篇文章中，我们介绍了一种新的自治的分布式感知传输调度方法的工业WSAN。运行ATRIA的设备可以基于其本地路由信息检测其流量负载，然后相应地调度其传输，而无需与相邻设备交换信息。实验结果表明，ATRIA提供了显着更高的端到端的网络可靠性和更低的端到端的延迟，而不引入额外的开销相比，一个国家的最先进的基线。
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 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, 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 article, we introduce 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.