Smart City Gnosys
Smart city article details
| Title | Ote: Optimal Trustworthy Edgeai Solutions For Smart Cities |
|---|---|
| ID_Doc | 41045 |
| Authors | Mygdalis V.; Carnevale L.; Martinez-De-Dios J.R.; Shutin D.; Aiello G.; Villari M.; Pitas I. |
| Year | 2022 |
| Published | Proceedings - 22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2022 |
| DOI | http://dx.doi.org/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. © 2022 IEEE. |
| Author Keywords | Cloud-Edge-IoT intelligence; EdgeAI; Smart city; Trustworthy-AI; UAVs |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
21086  | 0.867 | Ren X.; Vashisht S.; Aujla G.S.; Zhang P. | Drone-Edge Coalesce For Energy-Aware And Sustainable Service Delivery For Smart City Applications | Sustainable Cities and Society, 77 (2022) |
| 39962 | 0.864 | Tricomi G.; D'Agati L.; Arena M.; Longo F.; Merlino G.; Puliafito A.; Silvestri S. | On The Way To Distribute Compute Continuum Urban Applications By Deploying Clusters Of Drones | 2024 34th International Telecommunication Networks and Applications Conference, ITNAC 2024 (2024) |
| 21768 | 0.859 | Rajagopal S.; Tripathi P.K.; Deshmukh M.; Choudari S.; Kumar A.; Long C.S. | Edge Computing- Smart Cities: Optimizing Data Processing & Resource Management In Urban Environments | Journal of Information Systems Engineering and Management, 10 (2025) |
| 10465 | 0.859 | Thalluri L.N.; Venkat S.N.; Prasad C.V.V.D.; Kumar D.V.; Kumar K.P.; Sarma A.V.S.Y.N.; Adapa S.D. | Artificial Intelligence Enabled Smart City Iot System Using Edge Computing | Proceedings - 2nd International Conference on Smart Electronics and Communication, ICOSEC 2021 (2021) |
| 59251 | 0.858 | Al-Khafajiy M.; Baker T.; Hussien A.; Cotgrave A. | Uav And Fog Computing For Ioe-Based Systems: A Case Study On Environment Disasters Prediction And Recovery Plans | Unmanned System Technologies (2020) |
| 22047 | 0.856 | Sivakumar S.; Abraham M.; Babu J.J.; Perumal V.; Polepaka S.; Senthilkumar C. | Effective And Secure Task Offloading In Iot Edge Computing Through A Multi-Feedback Trust Mechanism | Proceedings of the 2nd International Conference on Applied Artificial Intelligence and Computing, ICAAIC 2023 (2023) |
| 57735 | 0.855 | Zaid M.A.; Faizal M.; Maheswar R.; Abdullaziz O.I. | Toward Smart Urban Development Through Intelligent Edge Analytics | EAI/Springer Innovations in Communication and Computing (2020) |
| 22929 | 0.852 | Vishwakarma P.; Ghosh P. | Empowering Smart Cities: A Comprehensive Edge Computing Framework For Enhanced Iot Situation Awareness | Proceedings of the 2023 IEEE International Conference on Computer Vision and Machine Intelligence, CVMI 2023 (2023) |