EDISON: An Edge-Native Method and Architecture for Distributed Interpolation

EDISON: An Edge-Native Method and Architecture for Distributed Interpolation

Spatio-temporal interpolation provides estimates of observations in unobserved locations and time slots. In smart cities, interpolation helps to provide a fine-grained contextual and situational understanding of the urban environment, in terms of both short-term (e.g., weather, air quality, traffic)...

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Bibliographic Details
Main Authors: Lauri Lovén, Tero Lähderanta, Leena Ruha, Ella Peltonen, Ilkka Launonen, Mikko J. Sillanpää, Jukka Riekki, Susanna Pirttikangas
Format: Article
Language:English
Published: MDPI AG 2021-03-01
Series:Sensors
Subjects:
edgeAI
edge computing
interpolation
distributed AI
distributed computing
kriging
Online Access:https://www.mdpi.com/1424-8220/21/7/2279

Internet

https://www.mdpi.com/1424-8220/21/7/2279

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