Sixdenier PL, Wildermann S, Ziegler D, Teich J (2022)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2022
Publisher: Springer Nature
City/Town: Switzerland
Pages Range: 329-345
Conference Proceedings Title: International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS XXII)
Event location: Pythagoreio, Samos
ISBN: 978-3-031-15073-9
DOI: 10.1007/978-3-031-15074-6
Multi-sensor embedded systems often consist of a central unit being responsible to manage a heterogeneous set of attached sensors.
Particularly when such systems are deployed in areas without access to a static power supply, they have to be powered using energy harvesting to operate autonomously.
Objectives such as availability and data loss rate depend on the set of attached sensors, the system configuration (e.g., used PV module, batteries, and data storage), as well as environmental factors such as the location of the deployed system.
Moreover, also the employed energy management strategy and its parametrization severely influence the system characteristics.
In fact, different strategies can lead to different tradeoffs in terms of the above objectives.
In this paper we propose a design methodology to automatically explore the design space of configurations of multi-sensor embedded systems and to determine and configure the best energy management strategy for a given sensor configuration and location.
Our methodology includes a real-time analysis and a simulation-based DSE to explore the design space.
We investigate a case study from a biomonitoring project and demonstrate the benefits of the proposed design methodology: A system---including its configuration and energy management strategy---has to be tailored to the characteristics of the set of attached sensors and the location it operates.
Else designs exhibit suboptimal characteristics when operating at sites or for sensor sets for which they were not optimized.
APA:
Sixdenier, P.-L., Wildermann, S., Ziegler, D., & Teich, J. (2022). SIDAM: A Design Space Exploration Framework for Multi-Sensor Embedded Systems Powered by Energy Harvesting. In Springer, Cham (Eds.), International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS XXII) (pp. 329-345). Pythagoreio, Samos, GR: Switzerland: Springer Nature.
MLA:
Sixdenier, Pierre-Louis, et al. "SIDAM: A Design Space Exploration Framework for Multi-Sensor Embedded Systems Powered by Energy Harvesting." Proceedings of the International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS XXII), Pythagoreio, Samos Ed. Springer, Cham, Switzerland: Springer Nature, 2022. 329-345.
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