Published August 31, 2021
| Version v1
Dataset
Open
Indoor Wireless Deterministic Anycast Transmissions Data from the FIT IoT-Lab testbed
Description
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)
Files
Files
(232.7 MB)
Name | Size | Download all |
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md5:2fa26f6b5981093be9b044f15c2d20c8
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232.7 MB | Download |
Additional details
Funding
- nano-NET – Nano Autonomous Systems for a totally Decentralized Internet ANR-18-CE25-0003
- Agence Nationale de la Recherche
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