Published November 22, 2022 | Version v1

Automated and Reproducible Application Traces Generation for IoT Applications Dataset Lighting Application

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 milliseconds), 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, datasets of 5  more IoT Applications are  available at the following link 

For any questions, please contact Nina Santi (nina.santi@inria.fr)

Files

Files (17.1 GB)

Name Size
md5:36d44ef14d70818a311c1a6bc6fcf176
17.1 GB Download