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Design and power management of energy harvesting embedded systems

Published:04 October 2006Publication History

ABSTRACT

Harvesting energy from the environment is a desirable and increasingly important capability in several emerging applications of embedded systems such as sensor networks, biomedical implants, etc. While energy harvesting has the potential to enable near-perpetual system operation, designing an efficient energy harvesting system that actually realizes this potential requires an in-depth understanding of several complex tradeoffs. These tradeoffs arise due to the interaction of numerous factors such as the characteristics of the harvesting transducers, chemistry and capacity of the batteries used (if any), power supply requirements and power management features of the embedded system, application behavior, etc. This paper surveys the various issues and tradeoffs involved in designing and operating energy harvesting embedded systems. System design techniques are described that target high conversion and storage efficiency by extracting the most energy from the environment and making it maximally available for consumption. Harvesting aware power management techniques are also described, which reconcile the very different spatio-temporal characteristics of energy availability and energy usage within a system and across a network.

References

  1. Amit Lal, Rajesh Duggirala, and Hui Li. Pervasive power: A radioisotope-powered piezoelectric generator. IEEE Pervasive Computing, 4(1):53--61, January--March 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. V. Raghunathan, A. Kansal, J. Hsu, J. Friedman, and M. Srivastava. Design considerations for solar energy harvesting wireless embedded systems. In Proc. 4th Int. Conf. on Information Processing in Sensor Networks, pages 457--462, Apr. 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. X. Jiang, J. Polastre, and D. Culler. Perpetual environmentally powered sensor networks. In Proc. 4th Int. Conf. on Information Processing in Sensor Networks, pages 463--468, Apr. 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Farhan Simjee and Pai H. Chou. Everlast: Long-life, supercapacitor-operated wireless sensor node. In Proc. ISLPED, October 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Henri Dubois-Ferrière, Laurent Fabre, Roger Meier, and Pierre Metrailler. TinyNode: a comprehensive platform for wireless sensor network applications. In IPSN '06: Proceedings of the fifth international conference on Information processing in sensor networks, pages 358--365, New York, NY, USA, 2006. ACM Press. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Chulsung Park and Pai H. Chou. AmbiMax: Efficient, autonomous energy harvesting system for multiple-supply wireless sensor nodes. In to appear, Proc. Third Annual IEEE Communications Society Conference on Sensor, Mesh, and Ad Hoc Communications and Networks (SECON), 2006.Google ScholarGoogle Scholar
  7. Aman Kansal and Mani B. Srivastava. An environmental energy harvesting framework for sensor networks. Proceedings of the 2003 international symposium on Low power electronics and design, pages 481--486, 2003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. John Kymissis, Clyde Kendall, Joseph A. Paradiso, and Neil Gershenfeld. Parasitic power harvesting in shoes. In Proc. of the Second IEEE International Symposium on Wearable Computing ISWC, pages 132--139, 1998. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Joseph A. Paradiso and Thad Starner. Energy scavenging for mobile and wireless electronics. IEEE Pervasive Computing, 4(1):18--27, January--March 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Olivier Chevalerias, Terence O'Donnell, Daithi Power, Neil O'Donovan, Gerald Duffy, Gary Grant, and Sean Cian O'Mathuna. Inductive telemetry of multiple sensor modules. IEEE Pervasive Computing, 4(1):46--52, January--March 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. David L. Churchill, Michael J. Hamel, Christopher P. Townsend, and Steven W. Arms. Strain energy harvesting for wireless sensor networks. Proceedings of SPIE, 5055:319, 2003.Google ScholarGoogle ScholarCross RefCross Ref
  12. S. Kim, W.W. Clark, and Q.M. Wang. Piezoelectric energy harvesting using diaphragm structure. Proceedings of SPIE, 5055:307, 2003.Google ScholarGoogle ScholarCross RefCross Ref
  13. Henry A. Sodano, Daniel J. Inman, and Gyuhae Park. A review of power harvesting from vibration using piezoelectric materials. The Shock and Vibration Digest, 36(3):197--205, 2004.Google ScholarGoogle ScholarCross RefCross Ref
  14. Sunghwan Kim. Low power energy harvesting with piezoelectric generators. PhD thesis, University of Pittsburgh, 2002.Google ScholarGoogle Scholar
  15. Shad Roundy, Eli S. Leland, Jessy Baaker, Eric Carleton, Elizabeth Reilly, Elaine Lai, Brian Otis, Jan M. Rabaey, Paul K. Wright, and V. Sundararajan. Improving power output for vibration-based energy scavengers. IEEE Pervasive Computing, 4(1):28--36, January--March 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Geffrey K. Ottman, Heath F. Hofmann, Archin C. Bhatt, and George A. Lesieutre. Adaptive piezoelectric energy harvesting circuit for wireless remote power supply. IEEE Transactions on Power Electronics, 17(5):669--676, 2002.Google ScholarGoogle ScholarCross RefCross Ref
  17. Ingo Stark. Invited talk: Thermal energy harvesting with Thermo Life. In International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06), pages 19--22, Los Alamitos, CA, USA, 2006. IEEE Computer Society. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. J. Siebert, J. Collier, and R. Amirtharajah. Self-timed circuits for harvesting AC power supplies. In Proc. International Symposium on Low Power Electronics and Design, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Geffrey K. Ottman, Heath F. Hofmann, and George A. Lesieutre. Optimized piezoelectric energy harvesting circuit using step-down converter in discontinuous conduction mode. IEEE Transactions on Power Electronics, 18(2):696--703, March 2003.Google ScholarGoogle ScholarCross RefCross Ref
  20. Chulsung Park and Pai H. Chou. Power Utility Maximization for Multi-Supply Systems by a Load-Matching Switch. In ISLPED'04, pages 168--173, August 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. P. Enjeti, J.W. Howze, and L. Palma. An approach to improve battery run-time in mobile applications with supercapacitors. In IEEE 34th Annual Power Electronics Specialists Conference, 2003.Google ScholarGoogle Scholar
  22. T.A. Smith, J.P. Mars, and G.A. Turner. Using supercapacitors to improve battery performance. In Power Electronics Specialists Conference, 2002.Google ScholarGoogle ScholarCross RefCross Ref
  23. H. Pollock. High efficiency, high frequency power supplies for capacitor and battery charging. In IEE Colloquium on Power Electronics for Demanding Applications, pages 901 -- 910, Apr. 1999.Google ScholarGoogle ScholarCross RefCross Ref
  24. R.M. Nelms and J.E. Schatz. A capacitor charging power supply utilizing a ward converter. IEEE Trans. Ind. Electronics, 39:421--428, Oct. 1992.Google ScholarGoogle ScholarCross RefCross Ref
  25. Aman Kansal, Dunny Potter, and Mani B. Srivastava. Performance aware tasking for environmentally powered sensor networks. In SIGMETRICS, pages 223--234, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. J. Hsu, S. Zahedi, A. Kansal, V. Raghunathan, and M. Srivastava. Adaptive duty cycling for energy harvesting systems. In Proc. ACMInternational Symposium on Low Power Electronics and Design, 2006. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Niraj K. Jha. Low power system scheduling and synthesis. In ICCAD, pages 259--263, 2001. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. Rahul C. Shah and Jan M. Rabaey. Energy aware routing for low energy ad hoc sensor networks. In Proc. IEEE Wireless Communications and Networking Conference (WCNC), pages 350--355, 2002.Google ScholarGoogle Scholar

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  1. Design and power management of energy harvesting embedded systems

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      • Published in

        cover image ACM Conferences
        ISLPED '06: Proceedings of the 2006 international symposium on Low power electronics and design
        October 2006
        446 pages
        ISBN:1595934626
        DOI:10.1145/1165573

        Copyright © 2006 ACM

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        Association for Computing Machinery

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        Publication History

        • Published: 4 October 2006

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