TY - GEN
T1 - Towards a message broker based platform for real-time streaming of urban IoT data
AU - Badidi, Elarbi
N1 - Publisher Copyright:
© Springer Nature Switzerland AG. 2019.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Batch processing
KW - Internet of Things
KW - IoT interoperability
KW - Middleware
KW - Real-time processing
KW - Smart cities
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U2 - 10.1007/978-3-030-00211-4_5
DO - 10.1007/978-3-030-00211-4_5
M3 - Conference contribution
AN - SCOPUS:85053599867
SN - 9783030002107
T3 - Advances in Intelligent Systems and Computing
SP - 39
EP - 49
BT - Computational and Statistical Methods in Intelligent Systems
A2 - Silhavy, Radek
A2 - Silhavy, Petr
A2 - Prokopova, Zdenka
PB - Springer Verlag
T2 - 2nd Computational Methods in Systems and Software, CoMeSySo 2018
Y2 - 12 September 2018 through 14 September 2018
ER -
