IoT Device Lifecycle Management

Nektarios Georgalas; Andrew Ennis; Cathryn Peoples; Joseph Rafferty; Philip Perry; Claudia Cristina; Brendan Black; Adrian Moore; Tom Bowman; Bryan Scotney; Andrew Reeves

doi:10.1109/trustcom60117.2023.00253

IoT Device Lifecycle Management

Nektarios Georgalas, Andrew Ennis, Cathryn Peoples, Joseph Rafferty, Philip Perry, Claudia Cristina, Brendan Black, Adrian Moore, Tom Bowman, Bryan Scotney, Andrew Reeves

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents an approach to autonomous IoT device lifecycle management for our developed Matrix IoT platform. We discuss our approach for zero touch onboarding, IoT device failure, device end-of-life offboarding and SLAs to support device lifecycle management. We collected timings on the key stages of our proposed onboarding process. The total onboarding time takes on average 6.4 seconds to onboard a device. Therefore, when scaled to many hundreds of devices, there is a very significant time saving benefit to onboarding devices automatically, along with the benefits of reducing human error.

Original language	English
Title of host publication	2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
Editors	Jia Hu, Geyong Min, Guojun Wang
Publisher	IEEE
Pages	1865-1870
Number of pages	6
ISBN (Electronic)	979-8-3503-8199-3
ISBN (Print)	979-8-3503-8200-6
DOIs	https://doi.org/10.1109/trustcom60117.2023.00253
Publication status	Published online - 29 May 2024

Publication series

Name	2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
Publisher	IEEE Control Society

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

IoT
Lifecycle management
Autonomous IoT

UN SDGs

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

Access to Document

10.1109/trustcom60117.2023.00253

Cite this

Georgalas, N., Ennis, A., Peoples, C., Rafferty, J., Perry, P., Cristina, C., Black, B., Moore, A., Bowman, T., Scotney, B., & Reeves, A. (2024). IoT Device Lifecycle Management. In J. Hu, G. Min, & G. Wang (Eds.), 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) (pp. 1865-1870). (2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)). IEEE. Advance online publication. https://doi.org/10.1109/trustcom60117.2023.00253

Georgalas, Nektarios ; Ennis, Andrew ; Peoples, Cathryn et al. / IoT Device Lifecycle Management. 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). editor / Jia Hu ; Geyong Min ; Guojun Wang. IEEE, 2024. pp. 1865-1870 (2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)).

@inproceedings{a9ca317bd9c34600bf1d11349c7f85a3,

title = "IoT Device Lifecycle Management",

abstract = "This paper presents an approach to autonomous IoT device lifecycle management for our developed Matrix IoT platform. We discuss our approach for zero touch onboarding, IoT device failure, device end-of-life offboarding and SLAs to support device lifecycle management. We collected timings on the key stages of our proposed onboarding process. The total onboarding time takes on average 6.4 seconds to onboard a device. Therefore, when scaled to many hundreds of devices, there is a very significant time saving benefit to onboarding devices automatically, along with the benefits of reducing human error.",

keywords = "IoT, Lifecycle management, Autonomous IoT",

author = "Nektarios Georgalas and Andrew Ennis and Cathryn Peoples and Joseph Rafferty and Philip Perry and Claudia Cristina and Brendan Black and Adrian Moore and Tom Bowman and Bryan Scotney and Andrew Reeves",

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year = "2024",

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language = "English",

isbn = "979-8-3503-8200-6",

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Georgalas, N, Ennis, A, Peoples, C, Rafferty, J, Perry, P, Cristina, C, Black, B, Moore, A, Bowman, T, Scotney, B & Reeves, A 2024, IoT Device Lifecycle Management. in J Hu, G Min & G Wang (eds), 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), IEEE, pp. 1865-1870. https://doi.org/10.1109/trustcom60117.2023.00253

IoT Device Lifecycle Management. / Georgalas, Nektarios; Ennis, Andrew; Peoples, Cathryn et al.
2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). ed. / Jia Hu; Geyong Min; Guojun Wang. IEEE, 2024. p. 1865-1870 (2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - IoT Device Lifecycle Management

AU - Georgalas, Nektarios

AU - Ennis, Andrew

AU - Peoples, Cathryn

AU - Rafferty, Joseph

AU - Perry, Philip

AU - Cristina, Claudia

AU - Black, Brendan

AU - Moore, Adrian

AU - Bowman, Tom

AU - Scotney, Bryan

AU - Reeves, Andrew

PY - 2024/5/29

Y1 - 2024/5/29

N2 - This paper presents an approach to autonomous IoT device lifecycle management for our developed Matrix IoT platform. We discuss our approach for zero touch onboarding, IoT device failure, device end-of-life offboarding and SLAs to support device lifecycle management. We collected timings on the key stages of our proposed onboarding process. The total onboarding time takes on average 6.4 seconds to onboard a device. Therefore, when scaled to many hundreds of devices, there is a very significant time saving benefit to onboarding devices automatically, along with the benefits of reducing human error.

AB - This paper presents an approach to autonomous IoT device lifecycle management for our developed Matrix IoT platform. We discuss our approach for zero touch onboarding, IoT device failure, device end-of-life offboarding and SLAs to support device lifecycle management. We collected timings on the key stages of our proposed onboarding process. The total onboarding time takes on average 6.4 seconds to onboard a device. Therefore, when scaled to many hundreds of devices, there is a very significant time saving benefit to onboarding devices automatically, along with the benefits of reducing human error.

KW - IoT

KW - Lifecycle management

KW - Autonomous IoT

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DO - 10.1109/trustcom60117.2023.00253

M3 - Conference contribution

SN - 979-8-3503-8200-6

T3 - 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

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EP - 1870

BT - 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

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Georgalas N, Ennis A, Peoples C, Rafferty J, Perry P, Cristina C et al. IoT Device Lifecycle Management. In Hu J, Min G, Wang G, editors, 2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom). IEEE. 2024. p. 1865-1870. (2023 IEEE 22nd International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)). Epub 2024 May 29. doi: 10.1109/trustcom60117.2023.00253

IoT Device Lifecycle Management

Abstract

Publication series

Bibliographical note

Keywords

UN SDGs

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