Lukas Sigrist


Last Name

Sigrist

First Name

Lukas

ORCID

0000-0002-4983-8889

Organisational unit

Filters

2015 - 2019112020 - 20215
Reset filters

Search Results

Publications 1 - 10 of 16
  • Optimal Power Management With Guaranteed Minimum Energy Utilization For Solar Energy Harvesting Systems Technical Report
    Item type: Report
    Ahmed, Rehan; Buchli, Bernhard; Draskovic, Stefan; et al. (2019)
    Technical report
  • FlockLab 2: Multi-Modal Testing and Validation for Wireless IoT
    Item type: Conference Paper
    Trüb, Roman; Da Forno, Reto; Sigrist, Lukas; et al. (2020)
    The development, evaluation, and comparison of wireless IoT and cyber-physical systems requires testbeds supporting inspection of logical states and accurate observations of physical performance metrics. We present FlockLab~2, a second generation testbed supporting multi-modal, high-accuracy and high-dynamic range measurements of power and logic timing and at the same time in-situ debug and trace infrastructure of modern microcontrollers allowing for reproducible evaluation and benchmarking. We detail the architecture, provide a characterization and demonstrate the interface, the supported services and the tools of the FlockLab~2 testbed.
  • In-situ-Validierung von Energy-Harvesting
    Item type: Other Publication
    Sigrist, Lukas; Gomez, Andres; Lim, Roman; et al. (2017)
    Design & Elektronik
  • Design Support for Energy Harvesting Driven IoT Devices
    Item type: Conference Paper
    Sigrist, Lukas; Thiele, Lothar (2017)
    Aachener Informatik-Berichte ~ Proceedings of the IDEA League Doctoral School on Transiently Powered Computing
  • Tracing Indoor Solar Harvesting
    Item type: Conference Paper
    Sigrist, Lukas; Gomez, Andres; Thiele, Lothar (2019)
    DATA'19 Proceedings of the 2nd Workshop on Data Acquisition To Analysis
  • Optimal Power Management with Guaranteed Minimum Energy Utilization for Solar Energy Harvesting Systems
    Item type: Journal Article
    Ahmed, Rehan; Buchli, Bernhard; Draskovic, Stefan; et al. (2019)
    ACM Transactions on Embedded Computing Systems
    In this work, we present a formal study on optimizing the energy consumption of energy harvesting embedded systems. To deal with the uncertainty inherent in solar energy harvesting systems, we propose the Stochastic Power Management (SPM) scheme, which builds statistical models of harvested energy based on historical data. The proposed stochastic scheme maximizes the lowest energy consumption across all time intervals while giving strict probabilistic guarantees on not encountering battery depletion. For situations where historical data is not available, we propose the use of (i) a Finite Horizon Control (FHC) scheme and (ii) a non-uniformly scaled energy estimator based on an astronomical model, which is used by FHC. Under certain realistic assumptions, the FHC scheme can provide guarantees on minimum energy usage that can be supported over all times. We further propose and evaluate a piece-wise linear approximation of FHC for efficient implementation in resource-constrained embedded systems. With extensive experimental evaluation for eight publicly available datasets and two datasets collected with our own deployments, we quantitatively establish that the proposed solutions are highly effective at providing a guaranteed minimum service level and significantly outperform existing solutions.
  • Mixed-criticality runtime mechanisms and evaluation on multicores
    Item type: Conference Paper
    Sigrist, Lukas; Giannopoulou, Georgia; Huang, Pengcheng; et al. (2015)
    21st IEEE Real-Time and Embedded Technology and Applications Symposium
  • Design and Instrumentation of Environment-Powered Systems
    Item type: Doctoral Thesis
    Sigrist, Lukas (2020)
    Energy Harvesting presents a key technology to sustainably supply the billions of devices in the emerging Internet of Things (IoT). Converting physical signals such as radiation, temperature, vibration, etc. into electrical energy promises virtually unlimited energy to supply cyber-physical systems (CPSs) in a long-term and scalable manner. However, with an energy supply depending on a spatially and temporally variable environment significant non-determinism is introduced into the system. In this thesis we explore the potential and limitations of supplying cyber-physical systems (CPSs) from environmental energy using only minimal energy buffering. We introduce novel design methodologies to supply applications reliably and efficiently, explore the energy yield of thermoelectric harvesting, and optimize the utility of data transmissions in infrastructure-less monitoring. Furthermore, we introduce a testbed and measurement support to assist designers in design aspects arising in energy harvesting systems. Specifically, we make the following contributions: - We introduce a novel measurement tool that combines high accuracy and portability. Enabling joint in-situ observations of the ambient, multiple energy flows, and application states, it provides critical insights during the design and verification of energy harvesting systems. - We present a testbed for the emulation of radiation and temperature environments. In combination with a programmable, time- and event-triggered current sink, it enables fast and repeatable exploration, dimensioning and validation of energy harvesting system design aspects. - We introduce the first model for thermoelectric energy harvesting at the ground-to-air boundary that incorporates all components from the physical signal to the application. In combination with a newly proposed rectifier circuit, an optimized harvesting system is implemented. Extensive real-world evaluation attests the accuracy of the model and demonstrates unprecedented output power in the given harvesting scenario. - We propose a novel energy management principle that decouples the energy harvesting and electrical load using a minimal energy buffer to allow each end to operate at is optimal operating point. An energy management unit (EMU) implementing this principle is designed and extensively evaluated. Efficient and reliable operation is demonstrated, even when the input power is significantly lower than the application requirements and exhibiting high variability. - We study the utility of data transmitted in an infrastructure-less communication scenario supplied by energy harvesting. Using a model-based optimization approach, we derive a new data transmission scheme for long-term batteryless monitoring applications. Evaluation using a batteryless sensor nodes demonstrates accurate abstraction of the scenario using our model and significant gain in utility at minimal run-time overhead. The methods and solutions presented are implemented and extensively evaluated under lab and real-world conditions. From these, we conclude that the methods and design tools presented enable efficient design and thorough evaluation of energy harvesting systems.
  • Harvesting-Aware Optimal Communication Scheme for Infrastructure-Less Sensing
    Item type: Journal Article
    Sigrist, Lukas; Ahmed, Rehan; Gomez, Andres; et al. (2020)
    ACM Transactions on Internet of Things
  • Dataset: Tracing Indoor Solar Harvesting
    Item type: Other Conference Item
    Sigrist, Lukas (2019)
Publications 1 - 10 of 16