Community-oriented wearable computing systems, where interconnected wearable devices act collectively to provide community-wide services, are increasingly used in healthcare scenarios where reliable monitoring and coordination are crucial. This paper investigates the feasibility of applying aggregate runtime verification techniques to ensure safety in such systems, particularly during large-scale crowded events where connectivity is limited. Our approach leverages aggregate programming, a distributed macroprogramming paradigm that enables verification of system-wide properties without central control or data collection. Through a case study on emergency healthcare, we demonstrate how this framework can detect emergencies and trigger appropriate responses in a fully distributed manner, addressing challenges in connectivity and safety.
Torta, G., Aguzzi, G., Damiani, F., Viroli, M. (2025). Aggregate Runtime Verification for Emergency Healthcare in Crowded Events. Institute of Electrical and Electronics Engineers Inc. [10.1109/ICHMS65439.2025.11154242].
Aggregate Runtime Verification for Emergency Healthcare in Crowded Events
Gianluca Aguzzi;Mirko Viroli
2025
Abstract
Community-oriented wearable computing systems, where interconnected wearable devices act collectively to provide community-wide services, are increasingly used in healthcare scenarios where reliable monitoring and coordination are crucial. This paper investigates the feasibility of applying aggregate runtime verification techniques to ensure safety in such systems, particularly during large-scale crowded events where connectivity is limited. Our approach leverages aggregate programming, a distributed macroprogramming paradigm that enables verification of system-wide properties without central control or data collection. Through a case study on emergency healthcare, we demonstrate how this framework can detect emergencies and trigger appropriate responses in a fully distributed manner, addressing challenges in connectivity and safety.| File | Dimensione | Formato | |
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2025123283.pdf
embargo fino al 16/09/2027
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Postprint / Author's Accepted Manuscript (AAM) - versione accettata per la pubblicazione dopo la peer-review
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