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Mobile Information Systems
Volume 2017, Article ID 8713873, 14 pages
https://doi.org/10.1155/2017/8713873
Research Article

A Novel Low-Cost Real-Time Power Measurement Platform for LoWPAN IoT Devices

1Shanghai Institute of Microsystem and Information Technology, Key Laboratory of Wireless Sensor Network and Communication, Chinese Academy of Sciences (CAS), Shanghai, China
2Shanghai Research Center for Wireless Communications (WiCO), Shanghai, China
3Shanghai Advanced Research Institute, Chinese Academy of Sciences (CAS), Shanghai, China

Correspondence should be addressed to Wuxiong Zhang; hs.ociw@gnahz.gnoixuw

Received 25 November 2016; Accepted 29 January 2017; Published 22 February 2017

Academic Editor: Jeongyeup Paek

Copyright © 2017 Yang Liu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. Md. Sakhawat Hossen, A. F. M. Sultanul Kabir, R. H. Khan, and A. Azfar, “Interconnection between 802.15.4 devices and IPv6: implications and existing approaches,” IJCSI International Journal of Computer Science Issues, vol. 7, no. 1, pp. 19–31, 2010. View at Google Scholar
  2. Z. Popovic, E. A. Falkenstein, D. Costinett, and R. Zane, “Low-power far-field wireless powering for wireless sensors,” Proceedings of the IEEE, vol. 101, no. 6, pp. 1397–1409, 2013. View at Publisher · View at Google Scholar · View at Scopus
  3. K. Keikhosravy, P. Kamalinejad, S. Mirabbasi, K. Takahata, and V. C. M. Leung, “An ultra-low-power monitoring system for inductively coupled biomedical implants,” in Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS '13), pp. 2283–2286, May 2013. View at Publisher · View at Google Scholar · View at Scopus
  4. A. B. Dolgov and R. Zane, “Low-power wireless medical sensor platform,” in Proceedings of the 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS '06), pp. 2067–2070, New York, NY, USA, September 2006. View at Publisher · View at Google Scholar · View at Scopus
  5. C. Villani, D. Balsamo, D. Brunelli, and L. Benini, “Ultra-low power sensor for autonomous non-invasive voltage measurement in IoT solutions for energy efficiency,” in Smart Sensors, Actuators, and MEMS VII; and Cyber Physical Systems, vol. 9517 of Proceedings of SPIE, pp. 93–95, May 2015. View at Publisher · View at Google Scholar
  6. J. Wang, J. Li, S. L. Ho et al., “Study and experimental verification of a rectangular printed-circuit-board wireless transfer system for low power devices,” IEEE Transactions on Magnetics, vol. 48, no. 11, pp. 3013–3016, 2012. View at Publisher · View at Google Scholar · View at Scopus
  7. X. Wen, “Low-power testing for low-power devices,” in Proceedings of the IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems (DFT '10), October 2010. View at Publisher · View at Google Scholar
  8. P. Girard, N. Nicolici, and X. Wen, Power-Aware Testing and Test Strategies for Low Power Devices, Springer, Boston, Mass, USA, 2010. View at Publisher · View at Google Scholar
  9. S. Davidson, “About the power problem [review of ‘power-aware testing and test strategies for low power devices’ (Girard, P., Eds., et.; 2010)],” IEEE Design & Test of Computers, vol. 27, no. 6, pp. 72–73, 2010. View at Publisher · View at Google Scholar
  10. Y. Higami, S. Y. Kobayashi, and Y. Takamatsu, “A method to reduce power dissipation during test for sequential circuits,” in Proceedings of the 11th Asian Test Symposium (ATS '02), pp. 326–331, Hagåtña, Guam, USA, November 2002. View at Publisher · View at Google Scholar · View at Scopus
  11. N. Dharmaweera and R. Parthiban, “Reducing power consumption in an optical circuit-switched core network by switching off amplifiers,” in Proceedings of the 22nd Wireless and Optical Communications Conference (WOCC '13), pp. 532–537, Chongqing, China, May 2013. View at Publisher · View at Google Scholar · View at Scopus
  12. C. Kim and S.-M. S. Kang, “A low-power reduced swing single clock flip-flop,” in Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS '01), pp. 806–809, New South Wales, Australia, May 2001. View at Publisher · View at Google Scholar · View at Scopus
  13. C. P. Ravikumar, M. Hirech, and X. Wen, “Test strategies for low power devices,” in Proceedings of the Design, Automation and Test in Europe (DATE '08), pp. 728–733, Munich, Germany, March 2008. View at Publisher · View at Google Scholar · View at Scopus
  14. C. Krügel, T. Toth, and E. Kirda, “Service specific anomaly detection for network intrusion detection,” in Proceedings of the 2002 ACM symposium on Applied computing (SAC '02), pp. 201–208, Madrid, Spain, March 2002. View at Publisher · View at Google Scholar
  15. G. Ortiz, M. Leibl, J. Huber, and J. W. Kolar, “Design and experimental testing of a resonant DC-DC converter for solid-state transformers,” IEEE Transactions on Power Electronics, vol. PP, no. 99, p. 1, 2016. View at Publisher · View at Google Scholar
  16. K. Wang and S. J. Stolfo, “Anomalous payload-based network intrusion detection,” Lecture Notes in Computer Science, vol. 3224, pp. 203–222, 2004. View at Google Scholar · View at Scopus
  17. K. Wang, J. J. Parekh, and S. J. Stolfo, “Anagram: a content anomaly detector resistant to mimicry attack,” in Recent Advances in Intrusion Detection, vol. 4219 of Lecture Notes in Computer Science, pp. 226–248, Springer, Berlin, Germany, 2006. View at Publisher · View at Google Scholar
  18. H. Chen, Y. Chen, and D. H. Summerville, “A survey on the application of FPGAs for network infrastructure security,” IEEE Communications Surveys and Tutorials, vol. 13, no. 4, pp. 541–561, 2011. View at Publisher · View at Google Scholar · View at Scopus
  19. R. Perdisci, D. Ariu, P. Fogla, G. Giacinto, and W. Lee, “McPAD: a multiple classifier system for accurate payload-based anomaly detection,” Computer Networks, vol. 53, no. 6, pp. 864–881, 2009. View at Publisher · View at Google Scholar · View at Scopus
  20. D. Ariu, R. Tronci, and G. Giacinto, “HMMPayl: an intrusion detection system based on Hidden Markov Models,” Computers and Security, vol. 30, no. 4, pp. 221–241, 2011. View at Publisher · View at Google Scholar · View at Scopus
  21. D. H. Summerville, K. M. Zach, and Y. Chen, “Ultra-lightweight deep packet anomaly detection for Internet of Things devices,” in Proceedings of the 34th IEEE International Performance Computing and Communications Conference (IPCCC '15), Nanjing, China, December 2015. View at Publisher · View at Google Scholar · View at Scopus
  22. X. Xie, Q. Zhou, K. Li, A. Beling, and J. Campbell, “1.8 watt RF power and 60% power conversion efficiency based on photodiode flip-chip-bonded on diamond,” in Proceedings of the 2014 Conference on Lasers and Electro-Optics (CLEO '14), San Jose, Calif, USA, June 2014. View at Scopus
  23. F. Knutti, N. Tobler, and H. Mathis, “Low-power voting device for use in education and polls employing TI's CC2530 RF CHIP,” in Proceedings of the 6th European Embedded Design in Education and Research Conference (EDERC '14), pp. 221–224, Milano, Italy, September 2014. View at Publisher · View at Google Scholar · View at Scopus
  24. R. K. Pearson, Y. Neuvo, J. Astola, and M. Gabbouj, “The class of generalized hampel filters,” in Proceedings of the 23rd European Signal Processing Conference (EUSIPCO '15), pp. 2501–2505, Nice, France, August 2015.
  25. J.-X. Zhang, Q.-H. Zhong, Y.-P. Dai, and Z. Liu, “A new de-noising method based on wavelet transform and transforming Hampel filter,” in Proceedings of the SICE 2003 Annual Conference, vol. 2, pp. 2147–2151, Fukui, Japan, 2003, IEEE Cat. No.03TH8734.
  26. J. Li, X. Li, and W. Zhang, “A filter feature selection method based LLRFC and redundancy analysis for tumor classification using gene expression data,” in Proceedings of the 12th World Congress on Intelligent Control and Automation (WCICA '16), pp. 2861–2867, Guilin, China, June 2016. View at Publisher · View at Google Scholar
  27. H. Hosni and F. Mhamdi, “A filter correlation method for feature selection,” in Proceedings of the 25th International Workshop on Database and Expert Systems Applications (DEXA '14), pp. 59–63, September 2014. View at Publisher · View at Google Scholar · View at Scopus
  28. N. El Aboudi and L. Benhlima, “Review on wrapper feature selection approaches,” in Proceedings of the International Conference on Engineering & MIS (ICEMIS '16), Agadir, Morocco, September 2016. View at Publisher · View at Google Scholar
  29. A. Bendale and T. Boult, “Reliable posterior probability estimation for streaming face recognition,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW '14), pp. 56–63, Columbus, Ohio, USA, June 2014. View at Publisher · View at Google Scholar · View at Scopus
  30. D. Wang and Y. Zhou, “Sparse posterior probability support vector machines,” in Proceedings of the IEEE Workshop on Statistical Signal Processing (SSP '14), pp. 396–399, Gold Coast, Queensland, Australia, July 2014. View at Publisher · View at Google Scholar · View at Scopus
  31. C. P. Shapiro, “Classification by maximum posterior probability,” The Annals of Statistics, vol. 5, no. 1, pp. 185–190, 1977. View at Publisher · View at Google Scholar · View at Zentralblatt MATH · View at MathSciNet
  32. R. Odai, Y. Taniguchi, M. Kumoi et al., “Multivalued document classification by Relevance Vector Machine in terms of maximum posterior probability,” in Abstracts of Annual Conference of Japan Society for Management Information, p. 37, The Japan Society for Management Information (JASMIN), 2010. View at Google Scholar