Automated and Reproducible Application Traces Generation for IoT Applications Dataset
Santi Nina, Rémy Grünblatt, Brandon Foubert, Aroosa Hameed, John Violos, Aris Leivadeas, Nathalie Mitton · Zenodo (CERN European Organization for Nuclear Research) · 2022
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])