IEEE Access (Jan 2022)
The Many Faces of Edge Intelligence
- Ella Peltonen,
- Ijaz Ahmad,
- Atakan Aral,
- Michele Capobianco,
- Aaron Yi Ding,
- Felipe Gil-Castineira,
- Ekaterina Gilman,
- Erkki Harjula,
- Marko Jurmu,
- Teemu Karvonen,
- Markus Kelanti,
- Teemu Leppanen,
- Lauri Loven,
- Tommi Mikkonen,
- Nitinder Mohan,
- Petteri Nurmi,
- Susanna Pirttikangas,
- Pawel Sroka,
- Sasu Tarkoma,
- Tingting Yang
Affiliations
- Ella Peltonen
- ORCiD
- Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland
- Ijaz Ahmad
- ORCiD
- VTT Technical Research Centre of Finland Ltd., Espoo, Finland
- Atakan Aral
- ORCiD
- Faculty of Computer Science, University of Vienna, Wien, Austria
- Michele Capobianco
- ORCiD
- Business Innovation Manager, Pordenone, Italy
- Aaron Yi Ding
- ORCiD
- Department of Engineering Systems and Services, TU Delft, Delft, The Netherlands
- Felipe Gil-Castineira
- ORCiD
- Enxeñaría telemática, University of Vigo, Vigo, Spain
- Ekaterina Gilman
- Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland
- Erkki Harjula
- ORCiD
- Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland
- Marko Jurmu
- ORCiD
- VTT Technical Research Centre of Finland Ltd., Espoo, Finland
- Teemu Karvonen
- Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland
- Markus Kelanti
- ORCiD
- Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland
- Teemu Leppanen
- Information Technology, Oulu University of Applied Sciences, Oulu, Finland
- Lauri Loven
- ORCiD
- Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland
- Tommi Mikkonen
- ORCiD
- Department of Computer Science, University of Helsinki, Helsinki, Finland
- Nitinder Mohan
- ORCiD
- Connected Mobility, Technical University of Munich, München, Germany
- Petteri Nurmi
- ORCiD
- Department of Computer Science, University of Helsinki, Helsinki, Finland
- Susanna Pirttikangas
- ORCiD
- Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland
- Pawel Sroka
- ORCiD
- Institute of Radiocommunications, Poznan University of Technology, Poznań, Poland
- Sasu Tarkoma
- ORCiD
- Faculty of Information Technology and Electrical Engineering, University of Oulu, Oulu, Finland
- Tingting Yang
- Pengcheng Laboratory, Shenzhen, China
- DOI
- https://doi.org/10.1109/ACCESS.2022.3210584
- Journal volume & issue
-
Vol. 10
pp. 104769 – 104782
Abstract
Edge Intelligence (EI) is an emerging computing and communication paradigm that enables Artificial Intelligence (AI) functionality at the network edge. In this article, we highlight EI as an emerging and important field of research, discuss the state of research, analyze research gaps and highlight important research challenges with the objective of serving as a catalyst for research and innovation in this emerging area. We take a multidisciplinary view to reflect on the current research in AI, edge computing, and communication technologies, and we analyze how EI reflects on existing research in these fields. We also introduce representative examples of application areas that benefit from, or even demand the use of EI.
Keywords
