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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)


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 languageEnglish
Title of host publicationComputational and Statistical Methods in Intelligent Systems
EditorsRadek Silhavy, Petr Silhavy, Zdenka Prokopova
PublisherSpringer Verlag
Number of pages11
ISBN (Print)9783030002107
Publication statusPublished - 2019
Event2nd Computational Methods in Systems and Software, CoMeSySo 2018 - Szczecin, Poland
Duration: Sept 12 2018Sept 14 2018

Publication series

NameAdvances in Intelligent Systems and Computing
ISSN (Print)2194-5357


Other2nd Computational Methods in Systems and Software, CoMeSySo 2018


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

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science


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