Data assessment and prioritization in mobile networks for real-time prediction of spatial information with machine learning

Ryoichi Shinkuma, Takayuki Nishio

研究成果: Conference contribution

8 被引用数 (Scopus)

抄録

A new framework of data assessment and prioritization for real-time prediction of spatial information is presented. In next generation mobile networks, the real-time prediction of spatial information will be a promising application. Recent developments of the machine learning technology have enabled prediction of spatial information, which would be quite useful for smart mobility services including navigation, driving assistance, and self-driving. Image sensors in mobile devices like smartphones and tablets and in vehicles such as cars and drones and real-time cognitive computing like automatic number/license plate recognition systems and object recognition systems are also key enablers for forming spatial information. However, since image data collected by mobile devices and vehicles need to be delivered to the server in real time to extract input data for real-time prediction, the uplink transmission speed of mobile networks is a major impediment. The framework of data assessment and prioritization proposed in this paper reduces the uplink traffic volume while maintaining the prediction accuracy of spatial information. In our framework, machine learning is used to estimate the importance of each data element and to predict spatial information under the limitation of available data. Numerical evaluation using actual vehicle mobility dataset demonstrated the validity of this approach.

本文言語English
ホスト出版物のタイトルProceedings - 2019 1st International Workshop on Network Meets Intelligent Computations, NMIC 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1-6
ページ数6
ISBN(電子版)9781728143712
DOI
出版ステータスPublished - 2019 7
外部発表はい
イベント1st International Workshop on Network Meets Intelligent Computations, NMIC 2019 - Dallas, United States
継続期間: 2019 7 72019 7 10

出版物シリーズ

名前Proceedings - 2019 1st International Workshop on Network Meets Intelligent Computations, NMIC 2019

Conference

Conference1st International Workshop on Network Meets Intelligent Computations, NMIC 2019
国/地域United States
CityDallas
Period19/7/719/7/10

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • 安全性、リスク、信頼性、品質管理

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