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Title
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OTE : Optimal Trustworthy EdgeAI solutions for smart cities
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Author
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Abstract
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| This work studies and defines the problem of providing extensive and opportunistic Edge AI-based area coverage in smart city application scenarios, by researching and determining the optimal configuration of sensing and computational resources for minimizing the environmental/technology footprint of the solution. A typical smart city computing continuum consists of statically installed multimodal sensing Internet-of-Things (IoT) nodes at various city locations, accompanied by interconnected computational Cloud/Edge/IoT nodes. This paper presents Optimal Trustworthy EdgeAI (OTE), an entirely novel research pipeline, that complements existing smart city infrastructure with intelligent drone Edge/IoT nodes (in the form of modularly equipped unmanned aerial vehicles), capable of autonomous repositioning according to individual/collective sensing and coverage criteria. Thereby, we envisage the emerging cutting-edge technologies of trustworthy sensing, perceiving, modelling technologies for predicting the behavior of moving targets (e.g., citizens/vehicles/objects), understanding natural phenomena (e.g., sea wave motion, urban flora/fauna, biodiversity) in order to anticipate events (people's bad habits, environmental changes), by exploiting novel continuous data processing services across the whole span of the enhanced Cloud-Edge-IoT computing continuum. |
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Language
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English
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Source (book)
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2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid), 16-19 May, 2022, Taormina, Italy
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Publication
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Los alamitos
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2022
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ISBN
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978-1-6654-9956-9
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978-1-6654-9956-9
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DOI
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10.1109/CCGRID54584.2022.00100
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Volume/pages
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(2022)
, p. 842-850
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ISI
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000855065800090
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Full text (Publisher's DOI)
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