Indoor Wireless Deterministic Anycast Transmissions Data from the FIT IoT-Lab testbed
| Main Author: | Fabrice Theoleyre |
|---|---|
| Format: | info dataset Journal |
| Bahasa: | eng |
| Terbitan: |
, 2021
|
| Subjects: | |
| Online Access: |
https://zenodo.org/record/5341805 |
Daftar Isi:
- 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)