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Title OTE: Optimal Trustworthy EdgeAI solutions for smart cities
ID_Doc 39774
Authors Mygdalis, V; Carnevale, L; Martinez-de-Dios, JR; Shutin, D; Aiello, G; Villari, M; Pitas, I
Title OTE: Optimal Trustworthy EdgeAI solutions for smart cities
Year 2022
Published
DOI 10.1109/CCGrid54584.2022.00100
Abstract 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.
Author Keywords EdgeAI; Trustworthy-AI; Smart city; Cloud-Edge-IoT intelligence; UAVs
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Conference Proceedings Citation Index - Science (CPCI-S)
EID WOS:000855065800090
WoS Category Computer Science, Hardware & Architecture; Computer Science, Theory & Methods
Research Area Computer Science
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