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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