Evaluating the spatio-temporal coverage of automotive sensing for smart cities

Yin Chen, Takuro Yonezawa, Jin Nakazawa, Hideyuki Tokuda

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

3 Citations (Scopus)

Abstract

Automotive sensing is a novel and appealing sensing technology in which sensors are installed into vehicles to utilize vehicles' mobility to conduct urban sensing in smart cities. The coverage performance is a major metric to characterizing the quality-of-service of sensing systems. Despite of the coverage metrics studied in static sensor networks that consist of only spatial dimension, the lack of a proper metric to characterizing the spatio-temporal coverage of automotive sensing systems is stunting the research, development and commercialization of such mobile sensing systems. To address this issue, we propose, for the first time to the best of our knowledge, a spatio-temporal coverage metric for automotive sensing. The proposed metric characterizes the coverage in both spatial and temporal dimensions in order to provide a guideline for smart cities application developers to evaluate the quality-of-service that can be expected from an automotive sensing system. Evaluation based on an automotive sensing system implemented in Fujisawa City, Japan is conducted to demonstrate the usage of this metric in a realistic scenario.

Original languageEnglish
Title of host publication2017 10th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
Volume2018-January
ISBN (Electronic)9784907626310
DOIs
Publication statusPublished - 2018 Apr 2
Event10th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017 - Toyama, Japan
Duration: 2017 Oct 32017 Oct 5

Other

Other10th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017
CountryJapan
CityToyama
Period17/10/317/10/5

Keywords

  • automotive
  • coverage
  • smart cities
  • Spatio-temporal
  • urban sensing

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Safety, Risk, Reliability and Quality

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  • Cite this

    Chen, Y., Yonezawa, T., Nakazawa, J., & Tokuda, H. (2018). Evaluating the spatio-temporal coverage of automotive sensing for smart cities. In 2017 10th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017 (Vol. 2018-January, pp. 1-5). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ICMU.2017.8330071