Dense Moving Fog for Intelligent IoT: Key Challenges and Opportunities

Autor: Kaibin Huang, Mischa Dohler, Maria A. Lema, Vitaly Petrov, Sergey Andreev
Přispěvatelé: Tampere University, Electrical Engineering, Research group: Wireless Communications and Positioning, Research group: Emerging Technologies for Nano-Bio-Info-Cogno
Rok vydání: 2019
Předmět:
Zdroj: IEEE Communications Magazine. 57:34-41
ISSN: 1558-1896
0163-6804
DOI: 10.1109/mcom.2019.1800226
Popis: As the ratification of 5G New Radio technology is being completed, enabling network architectures are expected to undertake a matching effort. Conventional cloud and edge computing paradigms may thus become insufficient in supporting the increasingly stringent operating requirements of \emph{intelligent~Internet-of-Things (IoT) devices} that can move unpredictably and at high speeds. Complementing these, the concept of fog emerges to deploy cooperative cloud-like functions in the immediate vicinity of various moving devices, such as connected and autonomous vehicles, on the road and in the air. Envisioning gradual evolution of these infrastructures toward the increasingly denser geographical distribution of fog functionality, we in this work put forward the vision of dense moving fog for intelligent IoT applications. To this aim, we review the recent powerful enablers, outline the main challenges and opportunities, and corroborate the performance benefits of collaborative dense fog operation in a characteristic use case featuring a connected fleet of autonomous vehicles.
Comment: 7 pages, 5 figures, 1 table. The work has been accepted for publication in IEEE Communications Magazine, 2019. Copyright may be transferred without notice, after which this version may no longer be accessible
Databáze: OpenAIRE