Prioritization of Mobile IoT Data Transmission Based on Data Importance Extracted From Machine Learning Model

Prioritization of Mobile IoT Data Transmission Based on Data Importance Extracted From Machine Learning Model

Predicting real-time spatial information from data collected by the mobile Internet of Things (IoT) devices is one solution to the social problems related to road traffic. The mobile IoT devices for real-time spatial information prediction generate an extremely high volume of data, making it impossi...

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Bibliographic Details
Main Authors: Yuichi Inagaki, Ryoichi Shinkuma, Takehiro Sato, Eiji Oki
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Real-time spatial information
vehicular IoT
data prioritization
machine learning
feature selection
Online Access:https://ieeexplore.ieee.org/document/8759870/

Internet

https://ieeexplore.ieee.org/document/8759870/

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