Creation of Temporal Model for Prioritized Transmission in Predictive Spatial-Monitoring Using Machine Learning

Predictive spatial-monitoring, which predicts spatial information such as road traffic, has attracted much attention in the context of smart cities. Machine learning enables predictive spatial-monitoring by using a large amount of aggregated sensor data. Since the capacity of mobile networks is stri...

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Veröffentlicht in:	IEICE Transactions on Communications 2021/08/01, Vol.E104.B(8), pp.951-960
Hauptverfasser:	SATO, Keiichiro, SHINKUMA, Ryoichi, SATO, Takehiro, OKI, Eiji, IWAI, Takanori, ONISHI, Takeo, NOBUKIYO, Takahiro, KANETOMO, Dai, SATODA, Kozo
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Communications traffic Feature selection Machine learning Monitoring Predictions predictive spatial-monitoring Spatial data temporal model Traffic Traffic information
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