Mobility-as-a-Service: A Distributed Real-Time Simulation with Carrera Slot-Cars

Richter, Daniel K.; Grapentin, Andreas; Polze, Andreas

doi:10.1109/isorc.2015.19

Cited by 2 publications

(2 citation statements)

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“…To assess the applicability of the different techniques in practice, we conduct a case study with self-driving slot cars. In addition to the analysis and case study, we confirm previous research [4] in that our lab setting is suited for imitating realworld challenges regarding the development and operation of embedded devices.…”

Section: Introductionsupporting

confidence: 78%

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

Daase,

Matthes,

Pirl

et al. 2021

Preprint

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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.

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Section: Introductionsupporting

confidence: 78%

“…In a setup similar to previous research [4], we use a digital Carrera D132 race track which resembles an environment with typical aspects for the development of mobile embedded devices. To test the techniques described in Section III, we develop a custom slot car controller based on the ESP32 microcontroller.…”

Section: A Experiments Setupmentioning

confidence: 99%