Enabling Real-Time Quality-of-Service and Fine-Grained Aggregation for Wireless TSN Show others and affiliations
2022 (English) In: Sensors, E-ISSN 1424-8220, Vol. 22, no 10, article id 3901Article in journal (Refereed) Published
Abstract [en]
Wireless Time-Sensitive Networking (WTSN) has emerged as a promising technology for Industrial Internet of Things (IIoT) applications. To meet the latency requirements of WTSN, wireless local area network (WLAN) such as IEEE 802.11 protocol with the time division multiple access (TDMA) mechanism is shown to be a practical solution. In this paper, we propose the RT-WiFiQA protocol with two novel schemes to improve the latency and reliability performance: real-time quality of service (RT-QoS) and fine-grained aggregation (FGA) for TDMA-based 802.11 systems. The RT-QoS is designed to guarantee the quality-of-service requirements of different traffic and to support the FGA mechanism. The FGA mechanism aggregates frames for different stations to reduce the physical layer transmission overhead. The trade-off between the reliability and FGA packet size is analyzed with numerical results. Specifically, we derive a critical threshold such that the FGA can achieve higher reliability when the aggregated packet size is smaller than the critical threshold. Otherwise, the non-aggregation scheme outperforms the FGA scheme. Extensive experiments are conducted on the commercial off-the-shelf 802.11 interface. The experiment results show that compared with the existing TDMA-based 802.11 system, the developed RT-WiFiQA protocol can achieve deterministic bounded real-time latency and greatly improves the reliability performance.
Place, publisher, year, edition, pages MDPI AG , 2022. Vol. 22, no 10, article id 3901
Keywords [en]
wireless time-sensitive networking, industrial IoT, IEEE 802, 11
National Category
Computer Engineering
Identifiers URN: urn:nbn:se:kth:diva-313763 DOI: 10.3390/s22103901 ISI: 000801432400001 PubMedID: 35632308 Scopus ID: 2-s2.0-85130280082 OAI: oai:DiVA.org:kth-313763 DiVA, id: diva2:1739677
Note QC 20230228
2022-06-102023-02-272023-02-28 Bibliographically approved