Towards a message broker based platform for real-time streaming of urban IoT data

Elarbi Badidi

doi:10.1007/978-3-030-00211-4_5

Towards a message broker based platform for real-time streaming of urban IoT data

Elarbi Badidi

Department of Computer Science and Software Engineering

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

2 Citations (Scopus)

Abstract

Modern cities deploy a variety of sensors, electric and water meters, or other devices used to guarantee efficient provisioning of services. Internet of Things (IoT) devices and sensors monitor and report on weather conditions, parking space availability, the structural integrity of bridges, historical monuments, and buildings, trash levels in waste containers, night activity and traffic in the streets of the city, and many more. The massive volumes of data produced by sensors and devices need to be harnessed to help smart city applications make informed decisions on the fly. This requires the ability to stream sensed data efficiently, process data streams in real-time, and utilize big data analytics. This paper describes a platform that aims to deal with the streaming of IoT data across the various systems of the city to permit conducting urban data analytics and creation of value-added services. The framework relies on a powerful message broker that can deal with the heterogeneity of IoT devices and adequately scale with the data volumes.

Original language	English
Title of host publication	Computational and Statistical Methods in Intelligent Systems
Editors	Radek Silhavy, Petr Silhavy, Zdenka Prokopova
Publisher	Springer Verlag
Pages	39-49
Number of pages	11
ISBN (Print)	9783030002107
DOIs	https://doi.org/10.1007/978-3-030-00211-4_5
Publication status	Published - 2019
Event	2nd Computational Methods in Systems and Software, CoMeSySo 2018 - Szczecin, Poland Duration: Sept 12 2018 → Sept 14 2018

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	859
ISSN (Print)	2194-5357

Conference

Conference	2nd Computational Methods in Systems and Software, CoMeSySo 2018
Country/Territory	Poland
City	Szczecin
Period	9/12/18 → 9/14/18

UN SDGs

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

SDG 11 Sustainable Cities and Communities

Keywords

Batch processing
Internet of Things
IoT interoperability
Middleware
Real-time processing
Smart cities

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-3-030-00211-4_5

Cite this

Towards a message broker based platform for real-time streaming of urban IoT data. / Badidi, Elarbi.
Computational and Statistical Methods in Intelligent Systems. ed. / Radek Silhavy; Petr Silhavy; Zdenka Prokopova. Springer Verlag, 2019. p. 39-49 (Advances in Intelligent Systems and Computing; Vol. 859).

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

Badidi, E 2019, Towards a message broker based platform for real-time streaming of urban IoT data. in R Silhavy, P Silhavy & Z Prokopova (eds), Computational and Statistical Methods in Intelligent Systems. Advances in Intelligent Systems and Computing, vol. 859, Springer Verlag, pp. 39-49, 2nd Computational Methods in Systems and Software, CoMeSySo 2018, Szczecin, Poland, 9/12/18. https://doi.org/10.1007/978-3-030-00211-4_5

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abstract = "Modern cities deploy a variety of sensors, electric and water meters, or other devices used to guarantee efficient provisioning of services. Internet of Things (IoT) devices and sensors monitor and report on weather conditions, parking space availability, the structural integrity of bridges, historical monuments, and buildings, trash levels in waste containers, night activity and traffic in the streets of the city, and many more. The massive volumes of data produced by sensors and devices need to be harnessed to help smart city applications make informed decisions on the fly. This requires the ability to stream sensed data efficiently, process data streams in real-time, and utilize big data analytics. This paper describes a platform that aims to deal with the streaming of IoT data across the various systems of the city to permit conducting urban data analytics and creation of value-added services. The framework relies on a powerful message broker that can deal with the heterogeneity of IoT devices and adequately scale with the data volumes.",

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KW - IoT interoperability

KW - Middleware

KW - Real-time processing

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Towards a message broker based platform for real-time streaming of urban IoT data

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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