The PotatoNet is a testbed which allows testing of hardware and routing protocol for our INGA sensor nodes under real world conditions. The field nodes are controlled by a central instance.
For testing the sensor nodes, they are connected to embedded Linux boards (WRTNode), which enables the possibility to reprogram the devices at any time. The are connected to an industry grade PC via Ethernet, which means that access is ensured constantly. They are powered using passive Power-over-Ethernet, so they can be turned off completely in order to reset them.
Sets of scripts allow the users to update the firmware of all nodes with a single command. They use a serial interface for debugging purposes, which is accessible in the network, so that log data of all nodes can be connected in a central place.
Internet access is available via wired interfaces as well as cellular networks. If any of the connections breaks down, the other link is used as fallback. Long distances up to several hundreds of meters are bridged using copper wires and a VSDL link.
Are components are exposed to any weather conditions, which requires a sturdy housing. The field nodes are enclosed in PVC tubes. The control PC and the Ethernet switch are located in a box made of aluminium equipped with a fan for keeping temperatures low even in summer.
The PotatoScanner is a system that is used to detect the stress of plants. Therefore, a software system composed of an Android application and a Raspberry Pi program. Its primary use is to gather temperature data from senors attached to a field sprayer. This allows for the measurement of plant temperature of an entire field. The temperature data is saved with the current GPS position of the field sprayer. The software system is integrated into a network consisting of sensor nodes on the field and a sink at the farm. Through the usage of DTN the Pi is able to carry data from the sensor nodes to the sink. The software system saves all DTN-Events occurring on the Pi and thus creates a database which can be used to evaluate the network.
In summer term 2017 the topic of our Wireless Networking Lab was focused on Precision agriculture and Smart Farming applications, respectively. The scenario of this hands-on on lecture included the deployment of sensor nodes on the potato field. The sensor nodes were used to measure several environmental parameters like soil- and air temperature.
The installation and the operation of WSNs in real environments is often a tough job. Hence, we would like to spare other research groups this pain and share our measurement data.
We performed several more evaluations. More data are available on request. Please contact the PotatoNet Team.
We we will provide links to custom hard- and software we designed for PotatoNet here.
| Name | Phone | Room | |
|---|---|---|---|
| Prof. Dr. Ulf Kulau | kulau[[at]]ibr.cs.tu-bs.de | ||
| Stephan Rottmann | rottmann[[at]]ibr.cs.tu-bs.de | ||
| Dr. Björn Gernert | gernert[[at]]ibr.cs.tu-bs.de | ||
| Robert Hartung | hartung[[at]]ibr.cs.tu-bs.de | ||
| Prof. Dr.-Ing. Lars Wolf | wolf[[at]]ibr.cs.tu-bs.de | +49-531-3913288 | 138 |
| Title | Type | Supervisor | Status |
|---|---|---|---|
| Implementing and Evaluating AWuR on Amphisbaena | Bachelor Thesis | Dr. Björn Gernert, Stephan Rottmann | finished ~2017 |
| Development of a wireless humidity sensor for food storage facilities, ... | Master Thesis, Project Thesis | Dr. Björn Gernert | finished ~2017 |
| LoRa meets DTN - Development and evaluation of a delay tolerant LoRa based sensor network for food storehouses, ... | Master Thesis | Dr. Björn Gernert | finished ~2018 |
| Advance Precision Farming by delay tolerant gathering of sendor data, ... | Bachelor Thesis | Dr. Björn Gernert | finished ~2016 |
| Online modeling on wireless sensor nodes under energy and memory considerations, ... | Master Thesis | Robert Hartung | finished ~2018 |
| Integration eines dynamischen Energiemodells zur Simulation der Energieaufnahme drahtloser Sensornetze unter realen Umgebungsbedingungen | Master Thesis | Prof. Dr. Ulf Kulau | finished ~2015 |
| Verteilte Energiemessung in drahtlosen Sensornetzen im Außeneinsatz | Master Thesis | Prof. Dr. Ulf Kulau | finished ~2015 |
| Entwicklung eines Micro-Source-Energy-Harvesters für Sensorknoten | Master Thesis | Prof. Dr. Ulf Kulau | finished ~2016 |
| Datenerhebung von IEEE 802.15.4 Radios unter verschiedenen Temperatureinflüssen | Bachelor Thesis | Prof. Dr. Ulf Kulau, Robert Hartung | finished ~2016 |
| Energieeffiziente Messstation für verteilte Trockenstressmessungen an Kartoffelpflanzen | Master Thesis | Prof. Dr. Ulf Kulau | finished ~2015 |
| An adaptive prediction approach for low power WSN | Master Thesis | Prof. Dr. Ulf Kulau | finished ~2017 |
| Abhärtung von Programmen in fehleranfälligen WSNs | Bachelor Thesis | Prof. Dr. Ulf Kulau, Arthur Martens | finished ~2015 |
| Energieeffizienzanalyse des RPL-Protokolls im Falle transienter Knotenausfälle | Project Thesis | Prof. Dr. Ulf Kulau, Arthur Martens | finished ~2015 |
| Zielfunktion zur effizienten und robusten Wegewahl in WSNs | Bachelor Thesis | Prof. Dr. Ulf Kulau | finished ~2016 |
| Energy Harvesting für Sensorknoten unter Nutzung der Bodentemperatur | Bachelor Thesis | Prof. Dr. Ulf Kulau | finished |
If you are interested in writing a thesis regarding this project, please feel free to contact Prof. Dr. Ulf Kulau.