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Energy budgeting for battery-powered sensors with a known task schedule

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Daler RakhmatovAuthors Info & Claims

ICCAD '06: Proceedings of the 2006 IEEE/ACM international conference on Computer-aided design

Pages 765 - 771

https://doi.org/10.1145/1233501.1233659

Published: 05 November 2006 Publication History

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Abstract

Battery-powered wireless sensors are severely constrained by the amount of the available energy. A method for computing the energy budget per sensing task can be a valuable design aid for sensor network optimizations. This work presents such a method that computes the upper and lower bounds on the task energy budget for a sensor node that must remain operational over a specified lifetime, with a known task schedule. These bounds take into account nonlinear changes in the battery voltage, capacity loss at high discharge rates, charge recovery, and capacity fade over time. We also propose efficient approximations replacing expensive calculations of the battery voltage while computing the energy budget bounds.

References

[1]

J. Ahmed and C. Chakrabarti. A dynamic task scheduling algorithm for battery powered dvs systems. In Proc. International Conference on Circuits and Systems, pages 813--816. IEEE, May 2004.

Crossref

Google Scholar

[2]

Y. Cai, S. Reddy, I. Pomeranz, and B. Al-Hashimi. Battery-aware dynamic voltage scaling in multiprocessor embedded systems. In Proc. International Conference on Circuits and Systems, pages 616--619. IEEE, May 2005.

Google Scholar

[3]

S. Dasika, S. Vrudhula, K. Chopra, and R. Srinivasan. A framework for battery-aware sensor management. In Proc. Design, Automation and Test in Europe Conference and Exhibition, pages 962--967. ACM/IEEE, Feb. 2004.

Digital Library

Google Scholar

[4]

W. Hamburgen, D. Wallach, M. Viredaz, L. Brakmo, C. Waldspurger, J. Bartlett, T. Mann, and K. Farkas. Itsy: Stretching the bounds of mobile computing. IEEE Computer, 34(4):28--37, Apr. 2001.

Digital Library

Google Scholar

[5]

S. Hong, D. Kim, and J. Kim. Battery-aware real-time task scheduling in wireless sensor networks. In Proc. International Conference on Embedded and Real-Time Computing Systems and Applications, pages 269--272. IEEE, Aug. 2005.

Digital Library

Google Scholar

[6]

Intel/University of California-Berkeley. Mote Project. http://www.intel.com/research/exploratory/motes.htm, 2006.

Google Scholar

[7]

Massachusetts Institute of Technology. uAMPS Project. http://mtlweb.mit.edu/researchgroups/icsystems/uamps, 2004.

Google Scholar

[8]

S. Park, A. Savvides, and M. Srivastava. Battery capacity measurement and analysis using lithium coin cell battery. In Proc. International Symposium on Low Power Electronics and Design, pages 382--387. ACM/IEEE, Aug. 2001.

Digital Library

Google Scholar

[9]

D. Rakhmatov. Battery voltage prediction for portable systems. In Proc. International Conference on Circuits and Systems, pages 4098--4101. IEEE, May 2005.

Crossref

Google Scholar

[10]

P. Ramadass, B. Haran, R. White, and B. Popov. Capacity fade of sony 18650 cells cycled at elevated temperatures. part I: Cycling performance. Journal of Power Sources, 112:606--613, Jan. 2002.

Crossref

Google Scholar

[11]

R. Rao, S. Vrudhula, and D. Rakhmatov. Battery modeling for energy-aware system design. IEEE Computer, 36(12):77--87, Dec. 2003.

Digital Library

Google Scholar

[12]

P. Rong and M. Pedram. Battery-aware power management based on markovian decision processes. IEEE Trans. Computer-Aided Design of Integrated Circuits and Systems, 25(7):1337--1349, July 2006.

Digital Library

Google Scholar

[13]

B. Sadler. Fundamentals of energy-constrained sensor network systems. IEEE Aerospace and Electronic Systems Magazine, 20(8):17--35, Aug. 2005.

Crossref

Google Scholar

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Rakhmatov D(2008)Energy budget approximations for battery-powered systems with a fixed schedule of active intervalsIEEE Transactions on Very Large Scale Integration (VLSI) Systems10.1109/TVLSI.2008.200072516:8(985-998)Online publication date: 1-Aug-2008
https://dl.acm.org/doi/10.1109/TVLSI.2008.2000725

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Energy budgeting for battery-powered sensors with a known task schedule

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ICCAD '06: Proceedings of the 2006 IEEE/ACM international conference on Computer-aided design

November 2006

147 pages

ISBN:1595933891

DOI:10.1145/1233501

General Chair:
Soha Hassoun
Tufts Univ., Medford, MA

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 05 November 2006

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ICCAD06: The International Conference on Computer-Aided Design 2006

November 5 - 9, 2006

California, San Jose

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Rakhmatov D(2008)Energy budget approximations for battery-powered systems with a fixed schedule of active intervalsIEEE Transactions on Very Large Scale Integration (VLSI) Systems10.1109/TVLSI.2008.200072516:8(985-998)Online publication date: 1-Aug-2008
https://dl.acm.org/doi/10.1109/TVLSI.2008.2000725

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Energy management for battery-powered embedded systems

Energy budget approximations for battery-powered systems with a fixed schedule of active intervals

Energy-efficient design of battery-powered embedded systems

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