The repository for Resense, a framework for recording and replaying sensor-based data.
- Transparently emulate sensors.
- Setup IoT experiments involving large numbers of heteregeneous sensors.
- Record live data and replay them on top of emulated sensors.
- Augment existing workflows with rarely ocurring event data.
- Paper: Resense: Transparent Record and Replay of Sensor Data
- Poster: download
- BibTeX citation:
@inproceedings{giouroukis2019resense,
title={Resense: Transparent Record and Replay of Sensor Data in the Internet of Things},
author={Giouroukis, Dimitrios and H{\"u}lsmann, Julius and von Bleichert, Janis and Geldenhuys, Morgan and Stullich, Tim and Gutierrez, Felipe Oliveira and Traub, Jonas and Beedkar, Kaustubh and Markl, Volker},
booktitle={22nd International Conference on Extending Database Technology (EDBT)},
year={2019}
}
This demonstration allows the user to get familiar with the capabilities of Resense and provide a good user experience.
You can test Resense with different configurations for different experiments (and data).
Resense assumes a Linux host OS and a Raspberry-based SBC for running emulated sensors. It is recommended to use the latest release version of Raspbian. For the host as well as the remote node, it is recommended to install Java.
mvn clean packagejava -jar resense-dashboard/target/snapshot-jar-path- visit http://localhost:9000/dashboard
The provided configuration will handle the dependencies for the project as well as bundling the kernel module driver for emulating sensors.
In this section, we will give a brief overview of the general architecture and then a more focused example on the design behind a node running in Resense.
Users can control Resense through the graphical user interface of the master node. From there, users can deploy sensor data to sensor nodes, replay and record data, and monitor the progress of experiments. For external applications it is transparent whether they read data which originates from physical or emulated sensors.
Three applications operate on top of physical and emulated sensors in our example:
- Resense Recorder,
- Resense Replay, and
- a reader of an external application.
The applications act as follows: The Resense Recorder reads sensor values ① and stores them for later use ②. This allows for capturing events in order to replay them later on. The Resense Replay module can read the sensor values stored by the recorder ③ and replay them through the emulated sensor ④. We consider this process a replay of an experiment. The external application reader can access all sensors (the physical temperature sensor and the emulated sensor) in the same way ⑤.
Resense was first introduced at the 22nd International Conference on Extending Database Technology (EDBT) in March 2019.
Abstract: As the scientific interest in the Internet of Things (IoT) continues to grow, emulating IoT infrastructure involving a large number of heterogeneous sensors plays a crucial role. Existing research on emulating sensors is often tailored to specific hardware and/or software, which makes it difficult to reproduce and extend. In this paper we show how to emulate different kinds of sensors in a unified way that makes the downstream application agnostic as to whether the sensor data is acquired from real sensors or is read from memory using emulated sensors. We propose the Resense framework that allows for replaying sensor data using emulatedsensorsandprovidesaneasy-to-usesoftwareforsetting up and executing IoT experiments involving a large number of heterogeneous sensors. We demonstrate various aspects of Resense in the context of a sports analytics application using real-world sensor data and a set of Raspberry Pis.
Acknowledgements: This work was supported by the German Ministry for Education and Research as Berlin Big Data Center (01IS14013A) and the European Union’s Horizon 2020, under the Marie Skłodowska-Curie grant agreement No 765452.