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

Yin Chen, Takuro Yonezawa, Jin Nakazawa, Hideyuki Tokuda

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトル2017 10th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1-5
ページ数5
ISBN(電子版)9784907626310
DOI
出版ステータスPublished - 2018 4 2
イベント10th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017 - Toyama, Japan
継続期間: 2017 10 32017 10 5

出版物シリーズ

名前2017 10th International Conference on Mobile Computing and Ubiquitous Network, ICMU 2017
2018-January

Other

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

ASJC Scopus subject areas

  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用
  • 安全性、リスク、信頼性、品質管理

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