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Big data - Concept and application for telecommunications 5

Appendix I

Use case with IoT big data characteristics
(This appendix does not form an integral part of this Recommendation.)

I.1 City environment monitoring
Figure I.1 shows a city environment monitoring use case as an example showing how the IoT can handle data
with IoT big data characteristics. In this use case, a large number of environment monitoring sensors and
cameras will be deployed in the city to monitor the real-time conditions of the air, water, traffic, power and
waste in the city.

Figure I.1 – City environment monitoring use case

In each second, a large amount of data will be transferred from those sensors and cameras to the IoT
platform. All the data will experience data collection, data transfer, data pre-processing, data storage and
data analysis procedures.
– During the data collection procedure, the data collection schedulers in the IoT platform will arrange
the collection period and collection sequence to relieve the network and the IoT platform load. The
collected data from the city environment sensors will be partially annotated with time stamp and
semantic information according to the capability of sensors.
– During the data transfer procedure, small data packets will converge into bigger packets to improve
the transmission efficiency and some redundant data (e.g., video data) will be compressed before
the data transmission.
– During the data pre-processing procedure, the collected environment data without time stamps will
be annotated with time stamps by the IoT platform and the collected environment data in different
formats will be transformed into a unified standard data format. For time-series environmental data,
the missing or incorrect data detection and interpolation operation may be adopted.
– During the data storage procedure, the collected data will be stored in the data centre after a data
pre-processing procedure.
– During the data analysis procedure, the city environment analysis applications will analyse the
collected environmental data. Some city environment indexes (e.g., air quality index) will be
calculated according to the collected environmental data and some city environment events (e.g.,
traffic jams) will be detected.

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