Original paper
Prioritization of Mobile IoT Data Transmission Based on Data Importance Extracted From Machine Learning Model
Abstract
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 impossible to collect all of it through mobile networks. Although some previous works have reduced the volume of transmitted data, the prediction accuracy...
Paper Details
Title
Prioritization of Mobile IoT Data Transmission Based on Data Importance Extracted From Machine Learning Model
Published Date
Jan 1, 2019
Journal
Volume
7
Pages
93611 - 93620
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Notes
History