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

Yagmur Yigit; Khayal Huseynov; Hamed Ahmadi; Berk Canberk

doi:10.1109/GCWkshps56602.2022.10008637

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

Yagmur Yigit^*
, Khayal Huseynov
, Hamed Ahmadi
, Berk Canberk

^*Bu çalışma için yazışmadan sorumlu yazar

Yapay Zeka ve Veri Mühendisliği Bölümü

Istanbul Technical University
University of York
Edinburgh Napier University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

9 Atıf (Scopus)

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	2022 IEEE GLOBECOM Workshops, GC Wkshps 2022 - Proceedings
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	438-443
Sayfa sayısı	6
ISBN (Elektronik)	9781665459754
DOI'lar	https://doi.org/10.1109/GCWkshps56602.2022.10008637
Yayın durumu	Yayınlandı - 2022
Etkinlik	2022 IEEE Globecom Workshops, GLOBECOM Workshop 2022 - Rio de Janeiro, Brazil Süre: 4 Ara 2022 → 8 Ara 2022

Yayın serisi

Adı	2022 IEEE GLOBECOM Workshops, GC Wkshps 2022 - Proceedings

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	2022 IEEE Globecom Workshops, GLOBECOM Workshop 2022
Ülke/Bölge	Brazil
Şehir	Rio de Janeiro
Periyot	4/12/22 → 8/12/22

Bibliyografik not

Publisher Copyright:
© 2022 IEEE.

Finansman

Yagmur Yigit would like to thank the DeepMind Scholarship Programme and the ITU-Turkcell Graduate Research Scholarship Programme for their support. This paper is supported by the Royal Society under Grant IES\R3\213169.

Finansörler	Finansör numarası
Royal Society	IES\R3\213169

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

SKH 3 Sağlık ve Kaliteli Yaşam
SKH 9 Sanayi, Yenilikçilik ve Altyapı

Belgeye Erişim

10.1109/GCWkshps56602.2022.10008637

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Yigit, Y., Huseynov, K., Ahmadi, H., & Canberk, B. (2022). YA-DA: YAng-Based DAta Model for Fine-Grained IIoT Air Quality Monitoring. In 2022 IEEE GLOBECOM Workshops, GC Wkshps 2022 - Proceedings (pp. 438-443). (2022 IEEE GLOBECOM Workshops, GC Wkshps 2022 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GCWkshps56602.2022.10008637

@inproceedings{135ffa306df04f61b8b2c893d47b3990,

title = "YA-DA: YAng-Based DAta Model for Fine-Grained IIoT Air Quality Monitoring",

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.",

keywords = "Air Quality Monitoring, Digital Twins (DT), Industrial Internet of Things (IIoT), Yet Another Next Generation (YANG) Data Model",

author = "Yagmur Yigit and Khayal Huseynov and Hamed Ahmadi and Berk Canberk",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Globecom Workshops, GLOBECOM Workshop 2022 ; Conference date: 04-12-2022 Through 08-12-2022",

year = "2022",

doi = "10.1109/GCWkshps56602.2022.10008637",

language = "English",

series = "2022 IEEE GLOBECOM Workshops, GC Wkshps 2022 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "438--443",

booktitle = "2022 IEEE GLOBECOM Workshops, GC Wkshps 2022 - Proceedings",

address = "United States",

}

Yigit, Y, Huseynov, K, Ahmadi, H & Canberk, B 2022, YA-DA: YAng-Based DAta Model for Fine-Grained IIoT Air Quality Monitoring. in 2022 IEEE GLOBECOM Workshops, GC Wkshps 2022 - Proceedings. 2022 IEEE GLOBECOM Workshops, GC Wkshps 2022 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 438-443, 2022 IEEE Globecom Workshops, GLOBECOM Workshop 2022, Rio de Janeiro, Brazil, 4/12/22. https://doi.org/10.1109/GCWkshps56602.2022.10008637

YA-DA: YAng-Based DAta Model for Fine-Grained IIoT Air Quality Monitoring. / Yigit, Yagmur; Huseynov, Khayal; Ahmadi, Hamed et al.
2022 IEEE GLOBECOM Workshops, GC Wkshps 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. p. 438-443 (2022 IEEE GLOBECOM Workshops, GC Wkshps 2022 - Proceedings).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - YA-DA

T2 - 2022 IEEE Globecom Workshops, GLOBECOM Workshop 2022

AU - Yigit, Yagmur

AU - Huseynov, Khayal

AU - Ahmadi, Hamed

AU - Canberk, Berk

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - Air Quality Monitoring

KW - Digital Twins (DT)

KW - Industrial Internet of Things (IIoT)

KW - Yet Another Next Generation (YANG) Data Model

UR - https://www.scopus.com/pages/publications/85146844454

U2 - 10.1109/GCWkshps56602.2022.10008637

DO - 10.1109/GCWkshps56602.2022.10008637

M3 - Conference contribution

AN - SCOPUS:85146844454

T3 - 2022 IEEE GLOBECOM Workshops, GC Wkshps 2022 - Proceedings

SP - 438

EP - 443

BT - 2022 IEEE GLOBECOM Workshops, GC Wkshps 2022 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 4 December 2022 through 8 December 2022

ER -

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

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Finansman

BM SKH

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap