Wireless Link Quality Estimation on FlockLab - and Beyond

This repository contains wireless link quality estimation data for the FlockLab testbed [1,2]. The rationale and description of this dataset is described in a the following abstract (pdf is included in this repository -- see below). Dataset: Wireless Link Quality Estimationon FlockLab – and Beyond Romain Jacob, Reto Da Forno, Roman Trüb, Andreas Biri, Lothar Thiele DATA '19 Proceedings of the 2nd Workshop on Data Acquisition To Analysis, 2019 Data collection scenario The data collection scenario is simple. Each FlockLab node is assigned one dedicated time slot. In this slot, a node sends 100 packets, called strobes. All strobes have the same payload size and use a given radio frequency channel and transmit power. All other nodes listen for the strobes and log packet reception events (i.e., success or failed). The test scenario is ran every two hours on two different platforms: the TelosB [3] and DPP-cc430 [4] platforms. We used all nodes currently available at test time (between 27 and 29). Final dataset status 3 months of data with about 12 tests per day per platform 5 month of data with about 4 tests per day per platform Data collection firmware We are happy to share the link quality data we collected for the FlockLab testbed, but we also wanted to make it easier for others to collect similar datasets for other wireless networks. To achieve this, we include in this repository the data collection firmware we design. The entire data collection scheduling and control is done entirely in software, in order to make the firmware usable in a large variety on wireless networks. We implemented our data collection software using Baloo [5], a flexible network stack design framework based on Synchronous Transmission. Baloo efficiently handles network time synchronization and offers a flexible interface to schedule communication rounds. The firmware source code is available in the Baloo repository [6]. A set of experiment parameters can be patched directly in the firmware, which let the user tune the data collection without having to recompile the source code. This improves usability and facilitates automation. An example patching script is included in this repository. Currently, the following parameters can be patched: rf_channel, payload, host_id, and rand_seed Current supported platforms TelosB [3] DPP-cc430 [4] Repository versions v1.4.1 Updated visualizations in the notebook v1.4.0 Addition of data from November 2019 to March 2020. Data collection is discontinue