Data-driven ecosystems in smart cities: A living example from Seestadt Aspern

Deepak Dhungana; Gerhard Engelbrecht; Josiane Xavier Parreira; Andreas Schuster; Roman Tobler; Danilo Valerio

doi:10.1109/WF-IoT.2016.7845434

Data-driven ecosystems in smart cities: A living example from Seestadt Aspern

Deepak Dhungana, Gerhard Engelbrecht, Josiane Xavier Parreira, Andreas Schuster, Roman Tobler, Danilo Valerio

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The new data collection opportunities offered by IoT and the recent advancements in data processing infrastructure have provided a significant impulse to the development of smart cities. Although reliable data collection and analysis is a fundamental prerequisite for urban intelligence, the smartness of a smart city also depends on the ability to translate IoT data into useful and innovative services: it is important to conceive new design principles for the development of applications for smart cities and IoT. To this extent, this paper presents a simplified conceptual framework for describing smart city ecosystems based on concepts of natural ecosystems. The goal of the framework is to derive new metaphors for designing IoT applications based on the observation of communication and interaction patterns in natural ecosystems. The proposed framework is used to describe a real smart city project in Vienna, Austria.

Original language	English
Title of host publication	2016 IEEE 3rd World Forum on Internet of Things, WF-IoT 2016
Publisher	IEEE Computer Society
Pages	82-87
Number of pages	6
ISBN (Electronic)	9781509041305
DOIs	https://doi.org/10.1109/WF-IoT.2016.7845434
Publication status	Published - 14 Dec 2016
Externally published	Yes

Publication series

Name	2016 IEEE 3rd World Forum on Internet of Things, WF-IoT 2016

Keywords

Data acquisition
Data handling
Ecology
Ecosystems
Internet of things
Communication and interaction
Conceptual frameworks
Data analytics
Data driven
Design Principles
Natural ecosystem
Processing infrastructures
Reliable data collections
Smart city
Smart Cities
IoT Data Analytics Applications
Data-driven Ecosystems

Research fields

Business Intelligence
Smart Cities
Digital Transformation

IMC Research Focuses

Software engineering and intelligent systems

ÖFOS 2012 - Austrian Fields of Study

102035 Data science

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/WF-IoT.2016.7845434

Cite this

Dhungana, D., Engelbrecht, G., Parreira, J. X., Schuster, A., Tobler, R., & Valerio, D. (2016). Data-driven ecosystems in smart cities: A living example from Seestadt Aspern. In 2016 IEEE 3rd World Forum on Internet of Things, WF-IoT 2016 (pp. 82-87). Article 7845434 (2016 IEEE 3rd World Forum on Internet of Things, WF-IoT 2016). IEEE Computer Society. https://doi.org/10.1109/WF-IoT.2016.7845434

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abstract = "The new data collection opportunities offered by IoT and the recent advancements in data processing infrastructure have provided a significant impulse to the development of smart cities. Although reliable data collection and analysis is a fundamental prerequisite for urban intelligence, the smartness of a smart city also depends on the ability to translate IoT data into useful and innovative services: it is important to conceive new design principles for the development of applications for smart cities and IoT. To this extent, this paper presents a simplified conceptual framework for describing smart city ecosystems based on concepts of natural ecosystems. The goal of the framework is to derive new metaphors for designing IoT applications based on the observation of communication and interaction patterns in natural ecosystems. The proposed framework is used to describe a real smart city project in Vienna, Austria.",

keywords = "Data acquisition, Data handling, Ecology, Ecosystems, Internet of things, Communication and interaction, Conceptual frameworks, Data analytics, Data driven, Design Principles, Natural ecosystem, Processing infrastructures, Reliable data collections, Smart city, Smart Cities, IoT Data Analytics Applications, Data-driven Ecosystems",

author = "Deepak Dhungana and Gerhard Engelbrecht and Parreira, {Josiane Xavier} and Andreas Schuster and Roman Tobler and Danilo Valerio",

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doi = "10.1109/WF-IoT.2016.7845434",

language = "English",

series = "2016 IEEE 3rd World Forum on Internet of Things, WF-IoT 2016",

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Dhungana, D, Engelbrecht, G, Parreira, JX, Schuster, A, Tobler, R & Valerio, D 2016, Data-driven ecosystems in smart cities: A living example from Seestadt Aspern. in 2016 IEEE 3rd World Forum on Internet of Things, WF-IoT 2016., 7845434, 2016 IEEE 3rd World Forum on Internet of Things, WF-IoT 2016, IEEE Computer Society, pp. 82-87. https://doi.org/10.1109/WF-IoT.2016.7845434

Data-driven ecosystems in smart cities: A living example from Seestadt Aspern. / Dhungana, Deepak; Engelbrecht, Gerhard; Parreira, Josiane Xavier et al.
2016 IEEE 3rd World Forum on Internet of Things, WF-IoT 2016. IEEE Computer Society, 2016. p. 82-87 7845434 (2016 IEEE 3rd World Forum on Internet of Things, WF-IoT 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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PY - 2016/12/14

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N2 - The new data collection opportunities offered by IoT and the recent advancements in data processing infrastructure have provided a significant impulse to the development of smart cities. Although reliable data collection and analysis is a fundamental prerequisite for urban intelligence, the smartness of a smart city also depends on the ability to translate IoT data into useful and innovative services: it is important to conceive new design principles for the development of applications for smart cities and IoT. To this extent, this paper presents a simplified conceptual framework for describing smart city ecosystems based on concepts of natural ecosystems. The goal of the framework is to derive new metaphors for designing IoT applications based on the observation of communication and interaction patterns in natural ecosystems. The proposed framework is used to describe a real smart city project in Vienna, Austria.

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ER -

Data-driven ecosystems in smart cities: A living example from Seestadt Aspern

Abstract

Publication series

Keywords

Research fields

IMC Research Focuses

ÖFOS 2012 - Austrian Fields of Study

UN SDGs

Access to Document

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Cite this