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 | |
| 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.
Funding
This research has been supported by the BT Ireland Innovation Centre (BTIIC) project, funded by BT, and Invest Northern Ireland.
| Funders |
|---|
| Invest Northern Ireland |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- IoT
- Lifecycle management
- Autonomous IoT
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Wireless communications in times of crisis: a systematic approach to enhancing disaster relief networks
Black, B. (Author), Santos, J. (Supervisor) & Rafferty, J. (Supervisor), Oct 2025Student thesis: Doctoral Thesis
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