Sensing information modelling for smart city

Hongxia Wang*

*Corresponding author for this work

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

Abstract

Sensing technology is a key enabler of the Internet of Things (IoT) and could produce huge volume data to contribute the Big Data paradigm. Modelling of sensing information is an important and challenging topic, which influences essentially the quality of smart city systems. In this paper, the author discusses the relevant technologies and information modelling in the context of smart city and especially reports the investigation of how to model sensing and location information in order to support smart city development.

Original languageEnglish
Title of host publicationProceedings, 2015 IEEE International Conference on Smart City, SmartCity 2015
EditorsXingang Liu, Robert Hsu, Peicheng Wang, et al
Place of PublicationPiscataway, NJ (US)
PublisherIEEE
Pages40-45
Number of pages6
ISBN (Electronic)978-1-5090-1893-2
ISBN (Print)978-1-5090-1892-5
DOIs
Publication statusPublished - 5 May 2016
EventIEEE International Conference on Smart City, SmartCity 2015 - Chengdu, China
Duration: 19 Dec 201521 Dec 2015

Conference

ConferenceIEEE International Conference on Smart City, SmartCity 2015
CountryChina
CityChengdu
Period19/12/1521/12/15

Bibliographical note

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Keywords

  • Big Data
  • BIM
  • CityGML
  • IFC
  • IndoorGML
  • location modeling
  • SensorML
  • Smart city

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  • Cite this

    Wang, H. (2016). Sensing information modelling for smart city. In X. Liu, R. Hsu, P. Wang, & et al (Eds.), Proceedings, 2015 IEEE International Conference on Smart City, SmartCity 2015 (pp. 40-45). IEEE. https://doi.org/10.1109/SmartCity.2015.44