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Our R&D Manager Jürgen Fitschen will give a presentation at the wireless congress 2024 parallel to electronica in Munich. The presentation will show an example of a wireless remote debugging solution for IoT devices.
Most test tasks in the development of a new wireless IoT device are usually carried out directly at the developer workstations or in special laboratories, but not in the actual application environment. As a result, many products and solutions do not really work optimally and error-free in the market launch phase.
In addition to commissioning errors, the causes of these practical problems are often completely different environmental conditions and the associated disturbance variables, as well as typical continuous operation problems (e.g. critical memory fragmentation, unexpected restarts, etc.). In practice, the details and causes of such errors can only be diagnosed and rectified in extensive field test phases. This requires special hardware and software configurations as well as context-related test concepts.
Using a typical IoT gateway example with one wireless sensor and one 4G/5G cellular connection to the Internet, the presentation will show how the quality of a new wireless IoT application can be significantly improved through field test phases in the pilot customers' application environments and sophisticated test tools adapted to the respective task. In the example presented, the responsible development team uses debugging-capable remote access via GDB/gdbserver to important key components via a separate out-of-band (OoB) radio connection.
The application bridge between the IoT gateway to be tested (device under test, DuT) and the OoB communication link is a special debug and test proxy system. It has a USB or SWD connection to the DuT, an SDR interface for the wireless sensor network and the option of switching the power supply to the DuT on and off. The debug and test proxy also measure electrical parameters (voltage, current). In addition, the debug and test proxy system can run automated monitoring and diagnostic functions to support developers in detecting complex error scenarios. The lecture provides the following two examples on this topic:
SNR/airtime monitoring: Using a periodic signal-to-noise ratio (SNR) measurement (signal-to-noise ratio or signal-to-noise ratio), determine whether the frequency band is of sufficient quality for communication with the environmental sensors and whether the requirements for the respective intended IoT wireless application are met. An SDR-based measurement method is used for this, with the raw data being run through various algorithms to detect anomalies.
System condition monitoring: A context-related parameter set (feature set) is defined that describes the respective system status as precisely as possible within a unit of time (e.g. number of Tx/Rx packets/bytes for all communication interfaces, memory status, CPU utilization, airtime of the WSN and WWAN interfaces, energy consumption, etc.). The parameters are periodically recorded and evaluated by monitoring and classification functions.
The presentation will take place on November 14, 2024, 15:00 h (Session 10: WSN, IIoT) at the ICM Munich, Germany. On the wireless congress 2024 website you will find all important information about the event.
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