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DUO: Integration of Dependable Undervolting in Operating Systems

Published: 10 November 2019 Publication History

Abstract

DUO is a co-processor-based energy harvesting solution that integrates the existing undervolting approach IdealVolting into the RIOT operating system. By integrating the existing approach into an operating system, the benefits of undervolting can be used in regular applications. The user can use IdealVolting along with existing applications and take advantage of an active undervolting approach. Especially in energy harvesting applications, that already use an energy harvesting chip with adjustable output voltage, the approach can be easily integrated. Our evaluation compares a duty-cycle sample application within RIOT OS with and without IdealVolting. It shows that DUO can save up to 20 % compared to the plain application only by adding IdealVolting to the application. Our poster highlights important aspects of our implementation and motivates the benefits of a co-processor in such a system.

References

[1]
R. Hartung, U. Kulau, and L. Wolf. 2016. Demo: PotatoScope - Scalable and Dependable Distributed Energy Measurement for WSNs. In 2016 13th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON). 1--3. https://doi.org/10.1109/SAHCN.2016.7732981
[2]
Ulf Kulau, Felix Busching, and Lars Wolf. 2013. A Node's Life: Increasing WSN Lifetime by Dynamic Voltage Scaling. In Proceedings of the 2013 IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS '13). IEEE Computer Society, Washington, DC, USA, 241--248. https://doi.org/10.1109/DCOSS.2013.39
[3]
Ulf Kulau, Felix Büsching, and Lars Wolf. 2016. IdealVolting: Reliable Undervolting on Wireless Sensor Nodes. ACM Trans. Sen. Netw. 12, 2, Article 11 (April 2016), 38 pages. https://doi.org/10.1145/2885500
[4]
Ulf Kulau, Felix Büsching, and Lars Wolf. 2015. Undervolting in WSNs: Theory and Practice. IEEE Internet of Things Journal 2, 3 (June 2015), 190--198. https://doi.org/10.1109/JIOT.2014.2384207
[5]
Wei Tuming, Yu Sijia, and Wei Hailong. 2010. A dynamic voltage scaling algorithm for wireless sensor networks. In 2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE), Vol. 1. V1-554--V1-557. https://doi.org/10.1109/ICACTE.2010.5578956

Cited By

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  • (2022)Analysis of Temperature Effects in Heterogeneous Outdoor Wireless Sensor Networks2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS)10.1109/MASS56207.2022.00027(148-154)Online publication date: Oct-2022

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cover image ACM Conferences
ENSsys '19: Proceedings of the 7th International Workshop on Energy Harvesting & Energy-Neutral Sensing Systems
November 2019
66 pages
ISBN:9781450370103
DOI:10.1145/3362053
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 November 2019

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Author Tags

  1. Co-Processor
  2. Dependable
  3. Energy Harvesting
  4. Operating System
  5. Reliablity
  6. Robustness
  7. Secure Instance
  8. Undervolting

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  • Refereed limited

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  • DFG

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Overall Acceptance Rate 21 of 29 submissions, 72%

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View all
  • (2022)Analysis of Temperature Effects in Heterogeneous Outdoor Wireless Sensor Networks2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems (MASS)10.1109/MASS56207.2022.00027(148-154)Online publication date: Oct-2022

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