Sensing information modelling for smart city

Hongxia Wang

doi:10.1109/SmartCity.2015.44

Sensing information modelling for smart city

Hongxia Wang^*

^*Corresponding author for this work

Research output: Chapter in Book/Published conference output › Conference publication

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 language	English
Title of host publication	Proceedings, 2015 IEEE International Conference on Smart City, SmartCity 2015
Editors	Xingang Liu, Robert Hsu, Peicheng Wang, et al
Place of Publication	Piscataway, NJ (US)
Publisher	IEEE
Pages	40-45
Number of pages	6
ISBN (Electronic)	978-1-5090-1893-2
ISBN (Print)	978-1-5090-1892-5
DOIs	https://doi.org/10.1109/SmartCity.2015.44
Publication status	Published - 5 May 2016
Event	IEEE International Conference on Smart City, SmartCity 2015 - Chengdu, China Duration: 19 Dec 2015 → 21 Dec 2015

Conference

Conference	IEEE International Conference on Smart City, SmartCity 2015
Country/Territory	China
City	Chengdu
Period	19/12/15 → 21/12/15

Bibliographical note

-

Keywords

Big Data
BIM
CityGML
IFC
IndoorGML
location modeling
SensorML
Smart city

Access to Document

10.1109/SmartCity.2015.44

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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 = "-; IEEE International Conference on Smart City, SmartCity 2015 ; Conference date: 19-12-2015 Through 21-12-2015",

year = "2016",

month = may,

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",

}

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AU - Wang, Hongxia

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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 publication

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)

T2 - IEEE International Conference on Smart City, SmartCity 2015

Y2 - 19 December 2015 through 21 December 2015

ER -

Sensing information modelling for smart city

Abstract

Conference

Bibliographical note

Keywords

Access to Document

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