4.5 Article

Autonomous Traffic-Aware Scheduling for Industrial Wireless Sensor-Actuator Networks

Journal

ACM TRANSACTIONS ON SENSOR NETWORKS
Volume 19, Issue 2, Pages -

Publisher

ASSOC COMPUTING MACHINERY
DOI: 10.1145/3561056

Keywords

Industrial wireless sensor-actuator networks; IEEE 802.15.4; transmission scheduling; TSCH; RPL

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In recent years, there has been a rapid adoption of low-power Wireless Sensor-Actuator Networks (WSANs) in process industries. However, the current approaches to autonomous transmission scheduling for industrial WSANs fail to consider the traffic loads of different devices, compromising the network performance. In this article, a novel Autonomous Traffic-Aware transmission scheduling method called ATRIA is introduced, which improves network reliability and reduces latency without introducing additional overhead.
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.

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