Overcoming the heterogeneity in the internet of things for smart cities

Aqeel Kazmi; Zeeshan Jan; Achille Zappa; Martin Serrano

doi:10.1007/978-3-319-56877-5_2

Overcoming the heterogeneity in the internet of things for smart cities

Aqeel Kazmi
, Zeeshan Jan
, Achille Zappa
, Martin Serrano

University of Galway

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

41 Citations (Scopus)

Abstract

In the past few years, the viability of the Internet of Things (IoT) technology has been demonstrated, leading to increased possibilities for novel human-centric services in the smart cities. This development has resulted in numerous approaches being proposed for harnessing IoT for smart city applications. Having received a significant attention by the research community and industry, IoT adaptation has gained momentum. IoT-enabled applications are being rapidly developed in a number of domains such as energy management, waste management, traffic control, mobility, healthcare, ambient assisted living, etc. On the other hand, this high-speed development and adaptation has resulted in the emergence of heterogeneous IoT architectures, standards, middlewares, and applications. This heterogeneity is hindrance in the realization of a much anticipated IoT global eco-system. Hence, the heterogeneity (from hardware level to application level) is a critical issue that needs high-priority and must be resolved as early as possible. In this article, we present and discuss the modelling of heterogeneous IoT data streams in order to overcome the challenge of heterogeneity. The data model is used within the VITAL project which is an open source IoT system of systems. The main objective of the VITAL platform is to enable rapid development of cross-platform and cross-context IoT based applications for smart cities.

Original language	English
Title of host publication	Interoperability and Open-Source Solutions for the Internet of Things - 2nd International Workshop, InterOSS-IoT 2016 held in Conjunction with IoT 2016, Invited Papers
Editors	Arne Broering, Sergios Soursos, Ivana Podnar Zarko, Martin Serrano
Publisher	Springer-Verlag
Pages	20-35
Number of pages	16
ISBN (Print)	9783319568768
DOIs	https://doi.org/10.1007/978-3-319-56877-5_2
Publication status	Published - 2017
Event	2nd Workshop on Interoperability and Open-Source Solutions for the Internet of Things, InterOSS-IoT 2016 and co-located with the 6th International Conference on the Internet of Things, IoT 2016 - Stuttgart, Germany Duration: 7 Nov 2016 → 7 Nov 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10218 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	2nd Workshop on Interoperability and Open-Source Solutions for the Internet of Things, InterOSS-IoT 2016 and co-located with the 6th International Conference on the Internet of Things, IoT 2016
Country/Territory	Germany
City	Stuttgart
Period	7/11/16 → 7/11/16

UN SDGs

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

SDG 9 Industry, Innovation, and Infrastructure
SDG 11 Sustainable Cities and Communities
SDG 12 Responsible Consumption and Production

Keywords

Data model
Internet of Things (IoT)
Interoperability
Linked data
Smart cities

Access to Document

10.1007/978-3-319-56877-5_2

Cite this

Kazmi, A., Jan, Z., Zappa, A., & Serrano, M. (2017). Overcoming the heterogeneity in the internet of things for smart cities. In A. Broering, S. Soursos, I. P. Zarko, & M. Serrano (Eds.), Interoperability and Open-Source Solutions for the Internet of Things - 2nd International Workshop, InterOSS-IoT 2016 held in Conjunction with IoT 2016, Invited Papers (pp. 20-35). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10218 LNCS). Springer-Verlag. https://doi.org/10.1007/978-3-319-56877-5_2

Kazmi, Aqeel ; Jan, Zeeshan ; Zappa, Achille et al. / Overcoming the heterogeneity in the internet of things for smart cities. Interoperability and Open-Source Solutions for the Internet of Things - 2nd International Workshop, InterOSS-IoT 2016 held in Conjunction with IoT 2016, Invited Papers. editor / Arne Broering ; Sergios Soursos ; Ivana Podnar Zarko ; Martin Serrano. Springer-Verlag, 2017. pp. 20-35 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Overcoming the heterogeneity in the internet of things for smart cities",

abstract = "In the past few years, the viability of the Internet of Things (IoT) technology has been demonstrated, leading to increased possibilities for novel human-centric services in the smart cities. This development has resulted in numerous approaches being proposed for harnessing IoT for smart city applications. Having received a significant attention by the research community and industry, IoT adaptation has gained momentum. IoT-enabled applications are being rapidly developed in a number of domains such as energy management, waste management, traffic control, mobility, healthcare, ambient assisted living, etc. On the other hand, this high-speed development and adaptation has resulted in the emergence of heterogeneous IoT architectures, standards, middlewares, and applications. This heterogeneity is hindrance in the realization of a much anticipated IoT global eco-system. Hence, the heterogeneity (from hardware level to application level) is a critical issue that needs high-priority and must be resolved as early as possible. In this article, we present and discuss the modelling of heterogeneous IoT data streams in order to overcome the challenge of heterogeneity. The data model is used within the VITAL project which is an open source IoT system of systems. The main objective of the VITAL platform is to enable rapid development of cross-platform and cross-context IoT based applications for smart cities.",

keywords = "Data model, Internet of Things (IoT), Interoperability, Linked data, Smart cities",

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Kazmi, A, Jan, Z, Zappa, A & Serrano, M 2017, Overcoming the heterogeneity in the internet of things for smart cities. in A Broering, S Soursos, IP Zarko & M Serrano (eds), Interoperability and Open-Source Solutions for the Internet of Things - 2nd International Workshop, InterOSS-IoT 2016 held in Conjunction with IoT 2016, Invited Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10218 LNCS, Springer-Verlag, pp. 20-35, 2nd Workshop on Interoperability and Open-Source Solutions for the Internet of Things, InterOSS-IoT 2016 and co-located with the 6th International Conference on the Internet of Things, IoT 2016, Stuttgart, Germany, 7/11/16. https://doi.org/10.1007/978-3-319-56877-5_2

Overcoming the heterogeneity in the internet of things for smart cities. / Kazmi, Aqeel; Jan, Zeeshan; Zappa, Achille et al.
Interoperability and Open-Source Solutions for the Internet of Things - 2nd International Workshop, InterOSS-IoT 2016 held in Conjunction with IoT 2016, Invited Papers. ed. / Arne Broering; Sergios Soursos; Ivana Podnar Zarko; Martin Serrano. Springer-Verlag, 2017. p. 20-35 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10218 LNCS).

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

TY - GEN

T1 - Overcoming the heterogeneity in the internet of things for smart cities

AU - Kazmi, Aqeel

AU - Jan, Zeeshan

AU - Zappa, Achille

AU - Serrano, Martin

N1 - Publisher Copyright: © Springer International Publishing AG 2017.

PY - 2017

Y1 - 2017

N2 - In the past few years, the viability of the Internet of Things (IoT) technology has been demonstrated, leading to increased possibilities for novel human-centric services in the smart cities. This development has resulted in numerous approaches being proposed for harnessing IoT for smart city applications. Having received a significant attention by the research community and industry, IoT adaptation has gained momentum. IoT-enabled applications are being rapidly developed in a number of domains such as energy management, waste management, traffic control, mobility, healthcare, ambient assisted living, etc. On the other hand, this high-speed development and adaptation has resulted in the emergence of heterogeneous IoT architectures, standards, middlewares, and applications. This heterogeneity is hindrance in the realization of a much anticipated IoT global eco-system. Hence, the heterogeneity (from hardware level to application level) is a critical issue that needs high-priority and must be resolved as early as possible. In this article, we present and discuss the modelling of heterogeneous IoT data streams in order to overcome the challenge of heterogeneity. The data model is used within the VITAL project which is an open source IoT system of systems. The main objective of the VITAL platform is to enable rapid development of cross-platform and cross-context IoT based applications for smart cities.

AB - In the past few years, the viability of the Internet of Things (IoT) technology has been demonstrated, leading to increased possibilities for novel human-centric services in the smart cities. This development has resulted in numerous approaches being proposed for harnessing IoT for smart city applications. Having received a significant attention by the research community and industry, IoT adaptation has gained momentum. IoT-enabled applications are being rapidly developed in a number of domains such as energy management, waste management, traffic control, mobility, healthcare, ambient assisted living, etc. On the other hand, this high-speed development and adaptation has resulted in the emergence of heterogeneous IoT architectures, standards, middlewares, and applications. This heterogeneity is hindrance in the realization of a much anticipated IoT global eco-system. Hence, the heterogeneity (from hardware level to application level) is a critical issue that needs high-priority and must be resolved as early as possible. In this article, we present and discuss the modelling of heterogeneous IoT data streams in order to overcome the challenge of heterogeneity. The data model is used within the VITAL project which is an open source IoT system of systems. The main objective of the VITAL platform is to enable rapid development of cross-platform and cross-context IoT based applications for smart cities.

KW - Data model

KW - Internet of Things (IoT)

KW - Interoperability

KW - Linked data

KW - Smart cities

UR - https://www.scopus.com/pages/publications/85018648132

U2 - 10.1007/978-3-319-56877-5_2

DO - 10.1007/978-3-319-56877-5_2

M3 - Conference Publication

AN - SCOPUS:85018648132

SN - 9783319568768

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 20

EP - 35

BT - Interoperability and Open-Source Solutions for the Internet of Things - 2nd International Workshop, InterOSS-IoT 2016 held in Conjunction with IoT 2016, Invited Papers

A2 - Broering, Arne

A2 - Soursos, Sergios

A2 - Zarko, Ivana Podnar

A2 - Serrano, Martin

PB - Springer-Verlag

T2 - 2nd Workshop on Interoperability and Open-Source Solutions for the Internet of Things, InterOSS-IoT 2016 and co-located with the 6th International Conference on the Internet of Things, IoT 2016

Y2 - 7 November 2016 through 7 November 2016

ER -

Kazmi A, Jan Z, Zappa A, Serrano M. Overcoming the heterogeneity in the internet of things for smart cities. In Broering A, Soursos S, Zarko IP, Serrano M, editors, Interoperability and Open-Source Solutions for the Internet of Things - 2nd International Workshop, InterOSS-IoT 2016 held in Conjunction with IoT 2016, Invited Papers. Springer-Verlag. 2017. p. 20-35. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-56877-5_2

Overcoming the heterogeneity in the internet of things for smart cities

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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