Past, Present, Future: A Comprehensive Exploration of AI Use Cases in the UMBRELLA IoT Testbed
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Abstract (arXiv)
UMBRELLA is a large-scale, open-access Internet of Things (IoT) ecosystem incorporating over 200 multi-sensor multi-wireless nodes, 20 collaborative robots, and edge-intelligence-enabled devices. This paper provides a guide to the implemented and prospective artificial intelligence (AI) capabilities of UMBRELLA in real-world IoT systems. Four existing UMBRELLA applications are presented in detail: 1) An automated streetlight monitoring for detecting issues and triggering maintenance alerts; 2) A Digital twin of building environments providing enhanced air quality sensing with reduced cost; 3) A large-scale Federated Learning framework for reducing communication overhead; and 4) An intrusion detection for containerised applications identifying malicious activities. Additionally, the potential of UMBRELLA is outlined for future smart city and multi-robot crowdsensing applications enhanced by semantic communications and multi-agent planning. Finally, to realise the above use-cases we discuss the need for a tailored MLOps platform to automate UMBRELLA model pipelines and establish trust.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 5 of its 21 references that are in the map. First posted on arXiv 24 Jan 2024.
Builds on
5 of 21 references.
References · 5
- 2017Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithmscited by 4,349
- 2016The Robotarium: A remotely accessible swarm robotics research testbedcited by 24
- 2021RLOps: Development Life-cycle of Reinforcement Learning Aided Open RANcited by 15
- 2023Open RAN meets Semantic Communications: A Synergistic Match for Open, Intelligent, and Knowledge-Driven 6Gcited by 6
- 2022A Dataset of Images of Public Streetlights with Operational Monitoring using Computer Vision Techniquescited by 2
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Citing papers per year: 2025: 1.
1 paper.