Movers and shakers: Kinetic energy harvesting for the internet of things

SIGMETRICS 2014 - Proceedings of the 2014 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems

Volumn , Issue , 2014, Pages 407-419

  Gorlatova, Maria ^a   Sarik, John ^a   Grebla, Guy ^a   Cong, Mina ^a   Kymissis, Ioannis ^a   Zussman, Gil ^a  

^a Department of Electrical Engineering Columbia University ^*  (United States)

Author keywords

Algorithms; Energy harvesting; Internet of Things; Low power networking; Measurements; Motion energy

Indexed keywords

ADAPTIVE ALGORITHMS; ALGORITHMS; COMPUTER SYSTEMS; ENERGY HARVESTING; KINETICS; LOW POWER ELECTRONICS; MEASUREMENTS;

ENERGY ALLOCATIONS; ENERGY AVAILABILITY; ENERGY GENERATIONS; HUMAN ACTIVITIES; INTERNET OF THING (IOT); LOW POWER; MOTION ENERGY; WIRELESS DEVICES;

INTERNET OF THINGS;

EID: 84904364222     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2591971.2591986     Document Type: Conference Paper

References (47)

1. nPower Personal Energy Generator. http://www.npowerpeg.com.
2. Linear technology. LTM4607 36VIN, 24VOUT high efficiency buck-boost DC/DC μ module regulator. 2008. http://cds.linear.com/docs/en/datasheet/4607fb. pdf.
3. Linear technology. LTC3588 piezoelectric energy harvesting power supply datasheet. 2010. http://cds.linear.com/docs/en/datasheet/35881fa.pdf.
4. Piezo systems. piezo energy harvester datasheet. 2011. http://www.piezo.com/catalog8.pdf%20files/Cat8.20&21.pdf.
5. Chipcon. CC2420 2.4gGHz IEEE802.15.4/ZigBee-ready RF transceiver datasheet. Nov. 2013. http://www.ti.com/lit/ds/symlink/cc2420.pdf.
6. Mide. volture piezoelectric energy harvesters datasheet. Jan. 2013. http://www.mide.com/pdfs/Volture-Datasheet-001.pdf.
7. Smart material. Macro fiber composite-mfc datasheet. 2013. http://www.smart-material.com/media/Datasheet/MFC-V2.1-2013-web.pdf.
8. EnHANTs kinetic energy measurements. Mar. 2014. http://enhants.ee. columbia.edu/kinetic-datasets.
9. S. Beeby, M. Tudor, and N. White. Energy harvesting vibration sources for microsystems applications. Measurement science and technology, 17(12):R175, 2006.
10. T. Buren, P. Lukowicz, and G. Troster. Kinetic energy powered computing: experimental feasibility study. In Proc. IEEE ISWC'03, Feb. 2003.
11. S. Chen, P. Sinha, N. Shroff, and C. Joo. A simple asymptotically optimal energy allocation and routing scheme in rechargeable sensor networks. In Proc. IEEE INFOCOM'12, Mar. 2012.
12. M. Cong, K. Kim, M. Gorlatova, J. Sarik, I. Kymissis, and G. Zussman. CRAWDAD data set columbia/kinetic. http://crawdad.cs.dartmouth.edu/columbia/ kinetic, Apr. 2014.
13. B. Devillers and D. Gunduz. A general framework for the optimization of energy harvesting communication systems with battery imperfections. IEEE J. Commun. Netw., 14(2):130-139, 2012.
14. M. C. Domingo. Packet size optimization for improving the energy efficiency in body sensor networks. ETRI Journal, 33(3):299-309, June 2011.
15. J. Galloway. Pick up the beat. In Runners World, July 2007. http://www.runnersworld.com/running-tips/pick-beat.
16. M. Gorlatova, P. Kinget, I. Kymissis, D. Rubenstein, X. Wang, and G. Zussman. Energy-harvesting active networked tags (EnHANTs) for ubiquitous object networking. IEEE Wireless Commun., 17(6), Dec. 2010.
17. M. Gorlatova, R. Margolies, J. Sarik, G. Stanje, J. Zhu, B. Vigraham, M. Szczodrak, L. Carloni, P. Kinget, I. Kymissis, and G. Zussman. Prototyping energy harvesting active networked tags (EnHANTs). In Proc. IEEE INFOCOM'13 mini-conference, Apr. 2013.
18. M. Gorlatova, J. Sarik, G. Grebla, M. Cong, I. Kymissis, and G. Zussman. Movers and shakers: Kinetic energy harvesting for the internet of things, Columbia University Electrical Engineering Technical Report 2014-03-27. http://enhants.ee.columbia.edu/images/papers/MoversShakers- Technical-Report- 03272014.pdf, 2014.
19. M. Gorlatova, A. Wallwater, and G. Zussman. Networking low-power energy harvesting devices: Measurements and algorithms. IEEE Trans. Mobile Comput., 13(9):1853-1865, Sept. 2013.
20. J. Gummeson, S. S. Clark, K. Fu, and D. Ganesan. On the limits of e ective micro-energy harvesting on mobile CRFID sensors. In Proc. ACM MobiSys'10, June 2010.
21. H. Huang, G. Merrett, and N. White. Human-powered inertial energy harvesters: the e ect of orientation, location and activity on obtainable power. In Proc. Eurosensors'11, Sept. 2011.
22. L. Huang and M. Neely. Utility optimal scheduling in energy harvesting networks. IEEE/ACM Trans. Netw., 21(4):1117-1130, Aug. 2013.
23. A. Kansal, J. Hsu, S. Zahedi, and M. B. Srivastava. Power management in energy harvesting sensor networks. ACM Trans. Embedded Comput. Syst., 6(4):32:1-32:38, 2007.
24. H. Kellerer, U. Pferschy, and D. Pisinger. Knapsack Problems. Springer, 2004.
25. T. Krupenkin and J. A. Taylor. Reverse electrowetting as a new approach to high-power energy harvesting. Nature Communications, 2:448, 2011.
26. J. Kymissis, C. Kendall, J. Paradiso, and N. Gershenfeld. Parasitic power harvesting in shoes. In Proc. IEEE ISWC'98, Oct. 1998.
27. G. Lin, P. Rahul, M. Rosenblatt, T. Nakajima, B. Germansderfer, and S. Dasgupta. Harnessing power through electromagnetic induction utilizing printed coils. United States Patent Application #20120235510, Sept. 2012.
28. R.-S. Liu, P. Sinha, and C. E. Koksal. Joint energy management and resource allocation in rechargeable sensor networks. In Proc. IEEE INFOCOM'10, Mar. 2010.
29. G. V. Merrett, A. S. Weddell, A. P. Lewis, N. R. Harris, B. M. Al-Hashimi, and N. M. White. An empirical energy model for supercapacitor powered wireless sensor nodes. In Proc. IEEE ICCCN'08, Aug. 2008.
30. N. Michelusi, K. Stamatiou, and M. Zorzi. Transmission policies for energy harvesting sensors with time-correlated energy supply. IEEE Trans. Commun., 61(7):2988-3001, July 2013.
31. P. Mitcheson, E. Yeatman, G. Rao, A. Holmes, and T. Green. Energy harvesting from human and machine motion for wireless electronic devices. Proc. of the IEEE, 96(9):1457-1486, Sept. 2008.
32. D. Noh and T. Abdelzaher. Efficient ow-control algorithm cooperating with energy allocation scheme for solar-powered WSNs. Wireless Comm. and Mobile Comput., 2010.
33. M. Orendurff, J. Schoen, G. Bernatz, A. Segal, and G. Klute. How humans walk: bout duration, steps per bout, and rest duration. J. Rehabil. Res. Dev., 45(7):1077-89, 2008.
34. O. Orhan, D. Gunduz, and E. Erkip. Optimal packet scheduling for an energy harvesting transmitter with processing cost. In Proc. IEEE ICC'13, June 2013.
35. O. Ozel, K. Tutuncuoglu, J. Yang, S. Ulukus, and A. Yener. Transmission with energy harvesting nodes in fading wireless channels: Optimal policies. IEEE J. Sel. Areas Commun., 29(8):1732-1743, Sept. 2011.
36. J. Paradiso and T. Starner. Energy scavenging for mobile and wireless electronics. IEEE Perv. Comput., 4(1):18-27, 2005.
37. T. Starner. Human-powered wearable computing. IBM systems J., 35(3.4):618-629, 1996.
38. T. Von Buren, P. Mitcheson, T. Green, E. Yeatman, A. Holmes, and G. Troster. Optimization of inertial micropower generators for human walking motion. IEEE Sensors J., 6(1):28-38, 2006.
39. R. Vullers, R. van Schaijk, I. Doms, C. Van Hoof, and R. Mertens. Micropower energy harvesting. Solid-State Electron., 53(7):684-693, Apr. 2009.
40. Q. Wang and M. Liu. When simplicity meets optimality: Efficient transmission power control with stochastic energy harvesting. In Proc. IEEE INFOCOM'13, Apr. 2013.
41. Y. Xue and L. Jin. A naturalistic 3D acceleration-based activity dataset and benchmark evaluations. In Proc. IEEE SMC'10, Oct. 2010.
42. J. Yang and S. Ulukus. Optimal packet scheduling in an energy harvesting communication system. IEEE Trans. Commun., 60(1):220-230, Jan. 2012.
43. Z. Yang, E. Halvorsen, and T. Dong. Power generation from conductive droplet sliding on electret film. Appl. Phys. Lett., 100(21):213905, 2012.
44. L. Yerva, B. Campbell, A. Bansal, T. Schmid, and P. Dutta. Grafting energy-harvesting leaves onto the sensornet tree. In Proc. IEEE IPSN'12, Apr. 2012.
45. J. Yun, S. Patel, M. Reynolds, and G. Abowd. Design and performance of an optimal inertial power harvester for human-powered devices. IEEE Trans. Mobile Comput., 10(5):669-683, May 2011.
46. M. Zafer and E. Modiano. A calculus approach to energy-efficient data transmission with quality-of-service constraints. IEEE/ACM Trans. Netw., 17(3):898-911, 2009.
47. T. Zhu, Z. Zhong, Y. Gu, T. He, and Z.-L. Zhang. Leakage-aware energy synchronization for wireless sensor networks. In Proc. ACM MobiSys'09, June 2009.