YA-DA: YAng-Based DAta Model for Fine-Grained IIoT Air Quality Monitoring

Yigit, Yagmur; Huseynov, Khayal; Ahmadi, Hamed; Canberk, Berk

Abstract

With the development of industrialization, air pollution is also steadily on the rise since both industrial and daily activities generate a massive amount of air pollution. Since decreasing air pollution is critical for citizens' health and well-being, air pollution monitoring is becoming an essential topic. Industrial Internet of Things (IIoT) research focuses on this crucial area. Several attempts already exist for air pollution monitoring. However, none of them are improving the performance of IoT data collection at the desired level. Inspired by the genuine Yet Another Next Generation (YANG) data model, we propose a YAng-based DAta model (YA-DA) to improve the performance of IIoT data collection. Moreover, by taking advantage of digital twin (DT) technology, we propose a DT-enabled fine-grained IIoT air quality monitoring system using YA-DA. As a result, DT synchronization becomes fine-grained. In turn, we improve the performance of IIoT data collection resulting in lower round-trip time (RTT), higher DT synchronization, and lower DT latency.

Citation

Yigit, Y., Huseynov, K., Ahmadi, H., & Canberk, B. (2022, December). YA-DA: YAng-Based DAta Model for Fine-Grained IIoT Air Quality Monitoring. Presented at 2022 IEEE Globecom Workshops (GC Wkshps), Rio de Janeiro, Brazil

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 2022 IEEE Globecom Workshops (GC Wkshps)
• Start Date: Dec 4, 2022
• End Date: Dec 8, 2022
• Acceptance Date: Aug 7, 2022
• Online Publication Date: Jan 12, 2023
• Publication Date: 2022
• Deposit Date: Oct 11, 2024
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Pages: 438-443
• Book Title: 2022 IEEE Globecom Workshops (GC Wkshps)
• DOI: https://doi.org/10.1109/gcwkshps56602.2022.10008637
• Keywords: Index Terms-Industrial Internet of Things (IIoT); Air Quality Monitoring; Yet Another Next Generation (YANG) Data Model; Digital Twins (DT)