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

Ryoichi Shinkuma, Takayuki Nishio

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2019 1st International Workshop on Network Meets Intelligent Computations, NMIC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781728143712
DOIs
Publication statusPublished - 2019 Jul
Externally publishedYes
Event1st International Workshop on Network Meets Intelligent Computations, NMIC 2019 - Dallas, United States
Duration: 2019 Jul 72019 Jul 10

Publication series

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

Conference

Conference1st International Workshop on Network Meets Intelligent Computations, NMIC 2019
Country/TerritoryUnited States
CityDallas
Period19/7/719/7/10

Keywords

  • Data-assessment
  • Feature-selection
  • Machine-learning
  • Mobile-crowdsensing
  • Real-time-prediction
  • Spatial-information

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Safety, Risk, Reliability and Quality

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