research-article

CityMii - An integration and interoperable middleware to manage a Smart City

Authors:

José Cecílio,

Filipe Caldeira,

Cristina WanzellerAuthors Info & Claims

Volume 130, Issue C

Pages 416 - 423

https://doi.org/10.1016/j.procs.2018.04.062

Published: 01 May 2018 Publication History

Abstract

Modern cities are supported by multiple heterogeneous IT systems deployed and managed by distinct agents. In general, those systems use old, dependent and non-standardized technologies, which make them legacy and incompatible systems. As smart cities are moving toward a fully centralized management approach, the lack of integration among systems raises several problems. Since they are independent, it is not easy to correlate information from different systems and put it together to work in order to achieve application goals.

The collaboration among different systems enables an agent to offer new functionalities (services or just information about the city) that cannot be provided by any of these systems working as individual entities. The goal of this paper is to propose an integration middleware to support the management of Smart Cities in a dynamic, transparent and scalable way. The proposed middleware intends to support interoperability among different systems operating in a city.

References

[1]

A.M. Rahmani, T.N. Gia, B. Negash, A. Anzanpour, I. Azimi, M. Jiang, P. Liljeberg, Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: A fog computing approach, Future Gener. Comput. Syst 78 (2018) 641–658.

Digital Library

[2]

B. Rashid, M.H. Rehmani, Applications of wireless sensor networks for urban areas: A survey, J. Netw. Comput. Appl 60 (2016) 192–219.

Digital Library

[3]

Saleem, Y.; Crespi, N.; Rehmani, M.H.; Copeland, R.; Hussein, D.; Bertin, E. Exploitation of social IoT for Recommendation Services. In Proceedings of the IEEE 3rd World Forum on Internet of Things (WF-IoT), Reston, VA, USA, 12–14 December 2016; pp. 359–364.

[4]

Govoni, M.; Michaelis, J.; Morelli, A.; Suri, N.; Tortonesi, M. Enabling Social- and Location-Aware IoT Applications in Smart Cities. In Proceedings of the 2nd EAI International Conference on Smart Objects and Technologies for Social Good, Venice, Italy, 30 November–1 December 2016.

[5]

J.A. Adeleke, D. Moodley, G. Rens, A.O. Adewumi, Integrating Statistical Machine Learning in a Semantic Sensor Web for Proactive Monitoring and Control, Sensors 17 (2017) 807.

[6]

R. Caballero-Águila, A. Hermoso-Carazo, J. Linares-Pérez, Optimal Fusion Estimation with Multi-Step Random Delays and Losses in Transmission, Sensors 17 (2017) 1151.

[7]

L. Guijarro, V. Pla, J.R. Vidal, M. Naldi, T. Mahmoodi, Wireless Sensor Network-Based Service Provisioning by a Brokering Platform, Sensors 17 (2017) 1115.

[8]

Z. Wu, Y. Xu, Y. Yang, C. Zhang, X. Zhu, Y. Ji, Towards a Semantic Web of Things: A Hybrid Semantic Annotation, Extraction, and Reasoning Framework for Cyber-Physical System. Sensors 17 (2017) 403.

[9]

H.-S. Choi, W.-S. Rhee, IoT-Based User-Driven Service Modeling Environment for a Smart Space Management System, Sensors 14 (2014) 22039–22064.

[10]

A. Floris, L. Atzori, Managing the Quality of Experience in the Multimedia Internet of Things: A Layered-Based Approach, Sensors 16 (2016) 2057.

[11]

J. Liu, Y. Hu, B. Wu, Y. Wang, F. Xie, A Hybrid Generalized Hidden Markov Model-Based Condition Monitoring Approach for Rolling Bearings, Sensors 17 (2017) 1143.

[12]

Y. Guo, X. Chen, S. Wang, R. Sun, Z. Zhao, Wind Turbine Diagnosis under Variable Speed Conditions Using a Single Sensor Based on the Synchrosqueezing Transform Method, Sensors 17 (2017) 1149.

[13]

P. Nie, T. Dong, Y. He, F. Qu, Detection of Soil Nitrogen Using Near Infrared Sensors Based on Soil Pretreatment and Algorithms, Sensors 17 (2017) 1102.

[14]

P. Bellavista, C. Giannelli, R. Zamagna, The PeRvasive Environment Sensing and Sharing Solution, Sustainability 9 (2017) 585.

[15]

Q. Hu, S. Wang, R. Bie, X. Cheng, Social Welfare Control in Mobile Crowdsensing Using Zero-Determinant Strategy, Sensors 17 (2017) 1012.

[16]

A. Saikar, M. Parulekar, A. Badve, S. Thakkar, A. Deshmukh, "TrafficIntel: Smart traffic management for smart cities," 2017 International Conference on Emerging Trends & Innovation in ICT (ICEI), Pune (2017) 46–50.

[17]

Villanueva, F. J., Santofimia, M. J., Villa, D., Barba, J., and López, J. C. 2013. Civitas: The smart city middleware, from sensors to big data. In Proc. of int. conf. on IMIS, 445-450.

[18]

F. Delicato, P. Pires, T. Batista, E. Cavalcante, B. Costa, T. Barros, Towards an IoT ecosystem, In Proceedings of the International Workshop on SESoS. (2013) 25–28.

[19]

Lea, R. and Blackstock, M. 2014. CityHub: a cloud-based IoT platform for Smart Cities. In International Conf. on Cloud Computing Technology and Science, IEEE. 799-804.

[20]

Mitton, N., Papavassiliou, S., Puliafito, A. and Trivedi, K. 2012. Combining Cloud and sensors in a smart city environment. EURASIP Journal on Wireless Communications and Networking, 1–20.

[21]

Petrolo, R., Loscri, V., and Mitton, N. 2014. Towards a Smart City based on Cloud of Things. WiMobCity - International ACM MobiHoc Workshop on Wireless and Mobile Technologies for Smart Cities. Philadelphia, USA.

[22]

Grace, P., Bromberg, Y. D., Réveillere, L., and Blair, G. 2012. Overstar: An open approach to end-to-end middleware services in systems of systems. In ACM/IFIP/USENIX International Conference on Distributed Systems Platforms and Open Distributed Processing. Berlin, 229-248.

[23]

Maier, M. 1996. Architecting Principles for SoS. In Sixth annual International Symposium of the International Council on Systems Engineering. Boston, MA, 567–574.

[24]

Jamshidi, M. 2011. System of Systems Engineering: Innovations for the Twenty- First Century. Vol 58.

[25]

Blair, G., Bromberg, Y., Coulson, G., Elkhatib, Y., Réveillere, L., Ribeiro, H., Riviére, E., and Taiani, F. 2015. Holons:Towards a Systematic approach to composing SoS.

[26]

Coulson, G., Blair, G., Elkhatib, Y., and Mauthe, A. 2015. The design of a generalised approach to the programming of SoS. In WoWMoM. 1-6.

[27]

Curry, E. 2012. System of systems information interoperability using a linked dataspace. In 7th International Conference on System of Systems Engineering.101-106.

[28]

Billaud, S., Daclin, N., and Chapurlat, V. 2015. Interoperability as a key concept for the control and evolution of the System of Systems (SoS). In International IFIP Working Conf. on Enterprise Interoperability. 53-63.

Cited By

Ströckl DOberrauner EPlattner JSteinberger CShekhovtsov VLeitner GKop CSchartner PMakedon F(2020)Smart city technology meets smart health assistive systems - on the example of the project AYUDOProceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments10.1145/3389189.3397985(1-7)Online publication date: 30-Jun-2020
https://dl.acm.org/doi/10.1145/3389189.3397985

Index Terms

CityMii - An integration and interoperable middleware to manage a Smart City

Index terms have been assigned to the content through auto-classification.

Recommendations

SoS-centric Middleware Services for Interoperability in Smart Cities Systems
SmartCities '16: Proceedings of the 2nd International Workshop on Smart

Modern cities are supported by many IT systems managed by distinct public and private agents. Such legacy systems are often incompatible since, in general, they use old, dependent and non-standardised technologies. This results in an environment in ...
Can a small city be considered a smart city?

The term smart cities has been widely used over the last years. The main goal of the smart cities initiative is to enable cities to manage their assets efficiently, investing in innovation and creativity as a way to promote sustainable and inclusive ...
Smart and Fermented Cities: An Approach to Placemaking in Urban Informatics
CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

What makes a city meaningful to its residents? What attracts people to live in a city and to care for it? Today, we might see such questions as concerns for HCI, given the emerging agendas of smart and connected cities, IoT, and ubiquitous computing: ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image Procedia Computer Science

Procedia Computer Science Volume 130, Issue C

2018

1184 pages

ISSN:1877-0509

EISSN:1877-0509

Issue’s Table of Contents

Copyright © 2018.

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 May 2018

Author Tags

Qualifiers

Research-article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

1
Total Citations
View Citations
0
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 13 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

Ströckl DOberrauner EPlattner JSteinberger CShekhovtsov VLeitner GKop CSchartner PMakedon F(2020)Smart city technology meets smart health assistive systems - on the example of the project AYUDOProceedings of the 13th ACM International Conference on PErvasive Technologies Related to Assistive Environments10.1145/3389189.3397985(1-7)Online publication date: 30-Jun-2020
https://dl.acm.org/doi/10.1145/3389189.3397985

View Options

View options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

Media

Figures

Other

Tables

View Issue’s Table of Contents