Improving Quality of Data: IoT Data Aggregation Using Device to Device Communications

Improving Quality of Data: IoT Data Aggregation Using Device to Device Communications

With the widespread adaptation of the Internet of things (IoT), we are already witnessing a deluge of IoT data analytics applications. IoT data analytics can be defined as a process to control and optimize decision making in real time, by analyzing huge chunks of IoT sensor data. Moreover, data anal...

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Bibliographic Details
Main Authors: Sunny Sanyal, Puning Zhang
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Internet of Things
D2D communication
data veracity
data aggregation
unsupervised learning
data analytics
Online Access:https://ieeexplore.ieee.org/document/8528395/

Internet

https://ieeexplore.ieee.org/document/8528395/

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