Automated and Reproducible Application Traces Generation for IoT Applications Dataset

  • Santi Nina (Creator)
  • Remy Grunblatt (Creator)
  • Brandon Foubert (Creator)
  • Aroosa Hameed (Creator)
  • John Violos (Creator)
  • Aris Leivadeas (Creator)
  • Nathalie Mitton (Creator)

Dataset

Description

This data represents an IoT smart city application. It results from an experiment that runs a firmware on a set of representative nodes that have to exchange packets in a broadcast mode using the IEEE 802.15.4-2006 MAC layer and RPL routing protocol. Each application produces data according to 1 of the 3 following modes: periodic (Tx nodes produce data every x millisecond), event based (modeled with an exponential law with occurrence rate lambda), and hybrid (combination of the two previous modes). Each application has the following parameters :
- Surveillance has 10 sensors and 3 routers that exchange packets with a length of 127B. The generation type is exponential with a lambda of 196.74.
- Emergency Response has 40 sensors and 5 routers that exchange packets with a length of 127B. The generation type is hybrid with a lambda of 0.03 and a period of 30 seconds.
- HVAC has 100 sensors and 5 routers that exchange packets with a length of 60B. The generation type is periodic with a period of 260 seconds.
- Lighting has 100 sensors and 5 routers that exchange packets with a length of 30B. The generation type is exponential with a lambda of 0.00208.
- VoIP has 10 sensors and 1 router that exchange packets with a length of 127B. The generation type is hybrid with a lambda of 15.74 and a period of 0.063532 seconds. As a result, this dataset has files containing the following data :
- Received data : name of the receiving node (node_name); message reception time (timestamp); message unique identifier (message_id); reception delay in milliseconds (reception_delay)
- Transmitted data : name of the transmitting node (node_name); message transmission time (timestamp); message unique identifier (message_id); success (transmission success) Furthermore, a dataset of an IoT Lighting Application is available at the following link
For any questions, please contact Nina Santi ([email protected])
Date made available22 Nov 2022
PublisherZenodo

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