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Title	Past, Present, Future: A Comprehensive Exploration Of Ai Use Cases In The Umbrella Iot Testbed
ID_Doc	41425
Authors	Li P.; Mavromatis I.; Khan A.
Year	2024
Published	2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, PerCom Workshops 2024
DOI	http://dx.doi.org/10.1109/PerComWorkshops59983.2024.10502658
Abstract	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's model pipelines and establish trust. © 2024 IEEE.
Author Keywords	edge intelligence; IoT; MLOps; robotics; use cases; wireless communication

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