Real-Time Probabilistic Data Fusion for Large-Scale IoT Applications

Real-Time Probabilistic Data Fusion for Large-Scale IoT Applications

Internet of Things (IoT) data analytics is underpinning numerous applications, however, the task is still challenging predominantly due to heterogeneous IoT data streams, unreliable networks, and ever increasing size of the data. In this context, we propose a two-layer architecture for analyzing IoT...

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Bibliographic Details
Main Authors: Adnan Akbar, George Kousiouris, Haris Pervaiz, Juan Sancho, Paula Ta-Shma, Francois Carrez, Klaus Moessner
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Complex event processing
data analysis
internet of things
real-time systems
intelligent transportation systems
Online Access:https://ieeexplore.ieee.org/document/8288619/

Internet

https://ieeexplore.ieee.org/document/8288619/

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