SIDAM: A Design Space Exploration Framework for Multi-Sensor Embedded Systems Powered by Energy Harvesting

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 GR

ISBN: 978-3-031-15073-9

DOI: 10.1007/978-3-031-15074-6

Abstract

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.

Authors with CRIS profile

Pierre-Louis Sixdenier Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design) Stefan Wildermann Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design) Jürgen Teich Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)

Related research project(s)

Analysis, optimization, and automatic synthesis of sensor data processing applications on AMMOD base stations (AMMOD) Nov. 1, 2019 - Oct. 31, 2022

How to cite

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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