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

Fingerprint

Sensing
Modeling
modeling
Internet of Things
Paradigm
paradigm
Internet
smart city
Smart city
Model
Influence
Context
Big data
Internet of things

Bibliographical note

-

Keywords

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

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). Piscataway, NJ (US): IEEE. https://doi.org/10.1109/SmartCity.2015.44
Wang, Hongxia. / Sensing information modelling for smart city. Proceedings, 2015 IEEE International Conference on Smart City, SmartCity 2015. editor / Xingang Liu ; Robert Hsu ; Peicheng Wang ; et al. Piscataway, NJ (US) : IEEE, 2016. pp. 40-45
@inproceedings{e9400bfac84548dfa4d61a1ada0e097f,
title = "Sensing information modelling for smart city",
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.",
keywords = "Big Data, BIM, CityGML, IFC, IndoorGML, location modeling, SensorML, Smart city",
author = "Hongxia Wang",
note = "-",
year = "2016",
month = "5",
day = "5",
doi = "10.1109/SmartCity.2015.44",
language = "English",
isbn = "978-1-5090-1892-5",
pages = "40--45",
editor = "Xingang Liu and Robert Hsu and Peicheng Wang and {et al}",
booktitle = "Proceedings, 2015 IEEE International Conference on Smart City, SmartCity 2015",
publisher = "IEEE",
address = "United States",

}

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. IEEE, Piscataway, NJ (US), pp. 40-45, IEEE International Conference on Smart City, SmartCity 2015, Chengdu, China, 19/12/15. https://doi.org/10.1109/SmartCity.2015.44

Sensing information modelling for smart city. / Wang, Hongxia.

Proceedings, 2015 IEEE International Conference on Smart City, SmartCity 2015. ed. / Xingang Liu; Robert Hsu; Peicheng Wang; et al. Piscataway, NJ (US) : IEEE, 2016. p. 40-45.

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

TY - GEN

T1 - Sensing information modelling for smart city

AU - Wang, Hongxia

N1 - -

PY - 2016/5/5

Y1 - 2016/5/5

N2 - 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.

AB - 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.

KW - Big Data

KW - BIM

KW - CityGML

KW - IFC

KW - IndoorGML

KW - location modeling

KW - SensorML

KW - Smart city

UR - http://www.scopus.com/inward/record.url?scp=84973868097&partnerID=8YFLogxK

UR - https://ieeexplore.ieee.org/document/7463698/

U2 - 10.1109/SmartCity.2015.44

DO - 10.1109/SmartCity.2015.44

M3 - Conference contribution

AN - SCOPUS:84973868097

SN - 978-1-5090-1892-5

SP - 40

EP - 45

BT - Proceedings, 2015 IEEE International Conference on Smart City, SmartCity 2015

A2 - Liu, Xingang

A2 - Hsu, Robert

A2 - Wang, Peicheng

A2 - et al,

PB - IEEE

CY - Piscataway, NJ (US)

ER -

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