This dataset contains the raw openwsn results generated by indoor experiments. The data was collected on the FIT IoT-Lab platform, using the m3 motes with a AT86RF231 radio chip, on the Grenoble's site. We rely on the following workflow: a modified version of openwsn that implements anycast transmissions at the link layer (CCA branch, https://github.com/ftheoleyre/openwsn-fw/releases/tag/duocast-mswim21). The firmware is implemented in C, and is executed by the m3 motes; a modified version of openvisualizer (https://github.com/ftheoleyre/openvisualizer/releases/tag/mswim21) a tool to process the dataset and compute the metrics: end-to-end reliability, number of transmissions, CCA events, etc. (https://github.com/ftheoleyre/openwsn-data/releases/tag/mswim21-duocast)

{"references": ["Fabrice Theoleyre, \"Duocast for Wireless Industrial Networks: an Experimental Study\", ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM), Alicante (Spain), 2021"]}