A Standardized Edge Computing Infrastructure of LoRaWAN Using IEEE 2668

Zhifu ZHANG; Yucheng LIU; Gerhard P. HANCKE; Kim Fung Tsang

doi:10.1109/INDIN51400.2023.10218036

A Standardized Edge Computing Infrastructure of LoRaWAN Using IEEE 2668

Zhifu ZHANG^*, Yucheng LIU, Gerhard P. HANCKE, Kim Fung Tsang

^*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

1 Citation (Scopus)

Abstract

LoRaWAN is an overwhelmingly popular wide area networking protocol that is capable of deploying city-wide Internet of Things (IoT) networks. Increase on the deployment of LoRaWAN in the last few years has led to exponential increase on the number of LoRa sensory and actuating end devices and results in more congestion in LoRaWAN network traffic. Moreover, the evolving AI-IoT (AIoT) applications (e.g., AI-powered environment monitoring system) create needs for more computing power with low latency requirements. To mitigate the high latency issue and the shortage of computing power due to continuously demanding quality of service (QoS) requirements of IoT applications, the Edge-Cloud server structure has been explored in a thorough manner in research area in recent years. An IEEE 2668 standardized IoT infrastructure system is presented in this work focusing on analyzing the performance of applying Edge-Cloud network server structure to LoRaWAN networks and provide standardized edge computing LoRaWAN infrastructure. This work uses queuing network to quantitively analyze the performance of an edge computing infrastructure applied to LoRaWAN and uses IEEE 2668 to quantitively present the performance and applicability of the Edge-Cloud LoRaWAN infrastructure. © 2023 IEEE.

Original language	English
Title of host publication	2023 IEEE 21^st International Conference on Industrial Informatics (INDIN)
Editors	Helene Dörksen, Stefano Scanzio, Jürgen Jasperneite, Lukasz Wisniewski, Kim Fung Man, Thilo Sauter, Lucia Seno, Henning Trsek, Valeriy Vyatkin
Publisher	IEEE
Number of pages	7
ISBN (Electronic)	9781665493130
ISBN (Print)	9781665493147
DOIs	https://doi.org/10.1109/INDIN51400.2023.10218036
Publication status	Published - 2023
Event	21st IEEE International Conference on Industrial Informatics (INDIN 2023) - Lemgo, Germany Duration: 17 Jul 2023 → 20 Jul 2023

Publication series

Name	IEEE International Conference on Industrial Informatics (INDIN)
Volume	2023-July
ISSN (Print)	1935-4576
ISSN (Electronic)	2378-363X

Conference

Conference	21st IEEE International Conference on Industrial Informatics (INDIN 2023)
Abbreviated title	IEEE INDIN 2023
Place	Germany
City	Lemgo
Period	17/07/23 → 20/07/23

Research Keywords

2668
Edge-Cloud
LoRaWAN
queuing system

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/INDIN51400.2023.10218036

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ZHANG, Z., LIU, Y., HANCKE, G. P., & Tsang, K. F. (2023). A Standardized Edge Computing Infrastructure of LoRaWAN Using IEEE 2668. In H. Dörksen, S. Scanzio, J. Jasperneite, L. Wisniewski, K. F. Man, T. Sauter, L. Seno, H. Trsek, & V. Vyatkin (Eds.), 2023 IEEE 21^st International Conference on Industrial Informatics (INDIN) (IEEE International Conference on Industrial Informatics (INDIN); Vol. 2023-July). IEEE. https://doi.org/10.1109/INDIN51400.2023.10218036

ZHANG, Zhifu ; LIU, Yucheng ; HANCKE, Gerhard P. et al. / A Standardized Edge Computing Infrastructure of LoRaWAN Using IEEE 2668. 2023 IEEE 21^st International Conference on Industrial Informatics (INDIN). editor / Helene Dörksen ; Stefano Scanzio ; Jürgen Jasperneite ; Lukasz Wisniewski ; Kim Fung Man ; Thilo Sauter ; Lucia Seno ; Henning Trsek ; Valeriy Vyatkin. IEEE, 2023. (IEEE International Conference on Industrial Informatics (INDIN)).

@inproceedings{bac6e9049a2746b1bfd804735a1e70da,

title = "A Standardized Edge Computing Infrastructure of LoRaWAN Using IEEE 2668",

abstract = "LoRaWAN is an overwhelmingly popular wide area networking protocol that is capable of deploying city-wide Internet of Things (IoT) networks. Increase on the deployment of LoRaWAN in the last few years has led to exponential increase on the number of LoRa sensory and actuating end devices and results in more congestion in LoRaWAN network traffic. Moreover, the evolving AI-IoT (AIoT) applications (e.g., AI-powered environment monitoring system) create needs for more computing power with low latency requirements. To mitigate the high latency issue and the shortage of computing power due to continuously demanding quality of service (QoS) requirements of IoT applications, the Edge-Cloud server structure has been explored in a thorough manner in research area in recent years. An IEEE 2668 standardized IoT infrastructure system is presented in this work focusing on analyzing the performance of applying Edge-Cloud network server structure to LoRaWAN networks and provide standardized edge computing LoRaWAN infrastructure. This work uses queuing network to quantitively analyze the performance of an edge computing infrastructure applied to LoRaWAN and uses IEEE 2668 to quantitively present the performance and applicability of the Edge-Cloud LoRaWAN infrastructure. {\textcopyright} 2023 IEEE.",

keywords = "2668, Edge-Cloud, LoRaWAN, queuing system",

author = "Zhifu ZHANG and Yucheng LIU and HANCKE, {Gerhard P.} and Tsang, {Kim Fung}",

year = "2023",

doi = "10.1109/INDIN51400.2023.10218036",

language = "English",

isbn = "9781665493147",

series = "IEEE International Conference on Industrial Informatics (INDIN)",

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editor = "Helene D{\"o}rksen and Stefano Scanzio and J{\"u}rgen Jasperneite and Lukasz Wisniewski and Man, {Kim Fung} and Thilo Sauter and Lucia Seno and Henning Trsek and Valeriy Vyatkin",

booktitle = "2023 IEEE 21st International Conference on Industrial Informatics (INDIN)",

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note = "21st IEEE International Conference on Industrial Informatics (INDIN 2023), IEEE INDIN 2023 ; Conference date: 17-07-2023 Through 20-07-2023",

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ZHANG, Z , LIU, Y , HANCKE, GP & Tsang, KF 2023, A Standardized Edge Computing Infrastructure of LoRaWAN Using IEEE 2668. in H Dörksen, S Scanzio, J Jasperneite, L Wisniewski, KF Man, T Sauter, L Seno, H Trsek & V Vyatkin (eds), 2023 IEEE 21^st International Conference on Industrial Informatics (INDIN). IEEE International Conference on Industrial Informatics (INDIN), vol. 2023-July, IEEE, 21st IEEE International Conference on Industrial Informatics (INDIN 2023), Lemgo, Germany, 17/07/23. https://doi.org/10.1109/INDIN51400.2023.10218036

A Standardized Edge Computing Infrastructure of LoRaWAN Using IEEE 2668. / ZHANG, Zhifu ; LIU, Yucheng ; HANCKE, Gerhard P. et al.
2023 IEEE 21^st International Conference on Industrial Informatics (INDIN). ed. / Helene Dörksen; Stefano Scanzio; Jürgen Jasperneite; Lukasz Wisniewski; Kim Fung Man; Thilo Sauter; Lucia Seno; Henning Trsek; Valeriy Vyatkin. IEEE, 2023. (IEEE International Conference on Industrial Informatics (INDIN); Vol. 2023-July).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - A Standardized Edge Computing Infrastructure of LoRaWAN Using IEEE 2668

AU - ZHANG, Zhifu

AU - LIU, Yucheng

AU - HANCKE, Gerhard P.

AU - Tsang, Kim Fung

PY - 2023

Y1 - 2023

N2 - LoRaWAN is an overwhelmingly popular wide area networking protocol that is capable of deploying city-wide Internet of Things (IoT) networks. Increase on the deployment of LoRaWAN in the last few years has led to exponential increase on the number of LoRa sensory and actuating end devices and results in more congestion in LoRaWAN network traffic. Moreover, the evolving AI-IoT (AIoT) applications (e.g., AI-powered environment monitoring system) create needs for more computing power with low latency requirements. To mitigate the high latency issue and the shortage of computing power due to continuously demanding quality of service (QoS) requirements of IoT applications, the Edge-Cloud server structure has been explored in a thorough manner in research area in recent years. An IEEE 2668 standardized IoT infrastructure system is presented in this work focusing on analyzing the performance of applying Edge-Cloud network server structure to LoRaWAN networks and provide standardized edge computing LoRaWAN infrastructure. This work uses queuing network to quantitively analyze the performance of an edge computing infrastructure applied to LoRaWAN and uses IEEE 2668 to quantitively present the performance and applicability of the Edge-Cloud LoRaWAN infrastructure. © 2023 IEEE.

AB - LoRaWAN is an overwhelmingly popular wide area networking protocol that is capable of deploying city-wide Internet of Things (IoT) networks. Increase on the deployment of LoRaWAN in the last few years has led to exponential increase on the number of LoRa sensory and actuating end devices and results in more congestion in LoRaWAN network traffic. Moreover, the evolving AI-IoT (AIoT) applications (e.g., AI-powered environment monitoring system) create needs for more computing power with low latency requirements. To mitigate the high latency issue and the shortage of computing power due to continuously demanding quality of service (QoS) requirements of IoT applications, the Edge-Cloud server structure has been explored in a thorough manner in research area in recent years. An IEEE 2668 standardized IoT infrastructure system is presented in this work focusing on analyzing the performance of applying Edge-Cloud network server structure to LoRaWAN networks and provide standardized edge computing LoRaWAN infrastructure. This work uses queuing network to quantitively analyze the performance of an edge computing infrastructure applied to LoRaWAN and uses IEEE 2668 to quantitively present the performance and applicability of the Edge-Cloud LoRaWAN infrastructure. © 2023 IEEE.

KW - 2668

KW - Edge-Cloud

KW - LoRaWAN

KW - queuing system

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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85171187062&origin=recordpage

U2 - 10.1109/INDIN51400.2023.10218036

DO - 10.1109/INDIN51400.2023.10218036

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 9781665493147

T3 - IEEE International Conference on Industrial Informatics (INDIN)

BT - 2023 IEEE 21st International Conference on Industrial Informatics (INDIN)

A2 - Dörksen, Helene

A2 - Scanzio, Stefano

A2 - Jasperneite, Jürgen

A2 - Wisniewski, Lukasz

A2 - Man, Kim Fung

A2 - Sauter, Thilo

A2 - Seno, Lucia

A2 - Trsek, Henning

A2 - Vyatkin, Valeriy

PB - IEEE

T2 - 21st IEEE International Conference on Industrial Informatics (INDIN 2023)

Y2 - 17 July 2023 through 20 July 2023

ER -

ZHANG Z , LIU Y , HANCKE GP , Tsang KF. A Standardized Edge Computing Infrastructure of LoRaWAN Using IEEE 2668. In Dörksen H, Scanzio S, Jasperneite J, Wisniewski L, Man KF, Sauter T, Seno L, Trsek H, Vyatkin V, editors, 2023 IEEE 21^st International Conference on Industrial Informatics (INDIN). IEEE. 2023. (IEEE International Conference on Industrial Informatics (INDIN)). Epub 2023 Aug 22. doi: 10.1109/INDIN51400.2023.10218036

A Standardized Edge Computing Infrastructure of LoRaWAN Using IEEE 2668

Abstract

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Research Keywords

UN SDGs

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