• Corpus ID: 238259995

Observing a Moving Target - Reliable Transmission of Debug Logs from Embedded Mobile Devices

@article{Daase2021ObservingAM,
  title={Observing a Moving Target - Reliable Transmission of Debug Logs from Embedded Mobile Devices},
  author={Bj{\"o}rn Daase and Leon Matthes and Lukas Pirl and Lukas Wenzel},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.01412}
}

• Björn Daase, Leon Matthes, +1 author Lukas Wenzel
• Published 29 September 2021
• Computer Science
• ArXiv

©2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Abstract—Mobile embedded devices in the Internet of Things face tight resource constraints and uncertain environments, including energy scarcity and unstable connectivity. This aggravates debugging, optimization, monitoring, etc.; for which logs from devices are required throughout the whole product life cycle. In this work, we qualitatively compare approaches for transmitting logs with regard to application requirements (e.g., continuous or aperiodic transmission), resource consumption (e.g., memory), operating constraints (e.g., power supply), and the transmission medium (e.g., UART, WiFi). The comparison highlights that the appropriateness of the approaches further depends on the life cycle phase and the implementation effort of an approach. We report on a case study in which we developed a mobile embedded device (i.e. a self-driving slot car) with which logs and firmware have to be exchanged. Compared to wired transmission, WiFi has shown to be more flexible and suitable for more phases in the development process. However, additionally required computations and energy distort the behavior of the resourceconstrained device. E.g., when transmitting logs wirelessly, the device’s supply voltage drop within a ~20 ms power interruption is ~1.6 times higher than without a loaded WiFi stack. Thus, also debugging must be considered in the energy budgeting.