Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Power consumption estimation of active RFID system using simulation

시뮬레이션을 이용한 능동형 RFID 시스템의 소비 전력 예측

  • Lee, Moon-Hyoung (Department of Industrial and Information Systems Engineering, Seoul National University of Science & Technology) ;
  • Lee, Hyun-Kyo (Department of Industrial and Information Systems Engineering, Seoul National University of Science & Technology) ;
  • Lim, Kyoung-Hee (Department of Industrial and Information Systems Engineering, Seoul National University of Science & Technology) ;
  • Lee, Kang-Won (Department of Industrial and Information Systems Engineering, Seoul National University of Science & Technology)
  • Received : 2016.04.19
  • Accepted : 2016.05.21
  • Published : 2016.08.31
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Abstract

For the 2.4 GHz active RFID to be successful in the market, one of the requirements is the increased battery life. However, currently we do not have any accurate power consumption estimation method. In this study we develop a simulation model, which can be used to estimate power consumption of tag accurately. Six different simulation models are proposed depending on collision algorithm and query command method. To improve estimation accuracy, we classify tag operating modes as the wake-up receive, UHF receive, sleep timer, tag response, and sleep modes. Power consumption and operating time are identified according to the tag operating mode. Query command for simplifying collection and ack command procedure and newly developed collision control algorithm are used in the simulation. Other performance measures such as throughput, recognition time for multi-tags, tag recognition rate including power consumption are compared with those from the current standard ISO/IEC 18000-7.

2.4 GHz 능동형 RFID가 보다 활성화되기 위해 개선되어야 할 요인 중 하나는 배터리 수명 문제다. 그러나 현재 까지 소비 전력 예측을 위한 정확한 모델이 존재하지 않는다. 본 연구에서는 태그의 전력 소비를 정확하게 예측 할 수 있는 시뮬레이션 모델을 개발하였다. 충돌 제어와 query 명령어 사용 방법에 따라 6개의 시뮬레이션 모델을 제안 하였다. 예측 정확도를 높이기 위하여 태그의 작동 모드를 몇 개로 분류하고 그에 따른 전력 소비와 작동 시간을 조사하였다. 태그 수집과 응답 확인 과정을 간소화 하는 Query command 명령 방법과 최근에 제안된 충돌 제어 알고리즘을 본 시뮬레이션 모델에 사용하였다. 소비 전력 이외에도 시스템 효율과 다중 태그의 인식 시간, 그리고 인식률과 같은 성능 지표를 구하여 기존의 ISO/IEC 18000-7 시스템과 비교하였다.

Keywords

References

  1. ISO/ISE 18000-7, "Information Technology-radio Frequency Identification for Item Management - Part 7: Parameters for Active Air Interface Communications at 433MHz," pp.3-54, 2009.
  2. J. T. Kim, J. S. Kim, and K. W. Lee, "Study on the performance Improvement of Active RFID System," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 05, pp. 871-885, May 2015. https://doi.org/10.7840/kics.2015.40.5.871
  3. D. Rakhmatov, S. Vrudhula, and D. A. Wallach, "A Model for Battery Lifetime Analysis for Organizing Applications on a Pocket Computer," IEEE Tran. Very Large Scale Integration Systems, vol 11, no. 6, pp. 1019-1030, Dec. 2003. https://doi.org/10.1109/TVLSI.2003.819320
  4. F. Simjee and P. H. Chou, "Accurate Battery Lifetime Estimation Using High-Frequency Power Profile Emulation," in Proc. IEEE Int. Symp. Low Power Electronics Design, pp. 307-310, Aug. 2005.
  5. J. T. Kim and K. W. Lee, "Study on the low Low Power Consumption of Active RFID Tag System," The Journal of Korean Institute of Information and Communication Engineering, vol. 19, no. 06, pp. 1419-1435, Jun. 2015. https://doi.org/10.6109/jkiice.2015.19.6.1419
  6. J. H. Joo and S. H. Chung, "Implementation of an efficient slotted CSMA/CA anti-collision protocol for active RFID system," J. KICS, vol. 37A, no. 12, pp. 1013-1022, Dec. 2012. https://doi.org/10.7840/kics.2012.37A.12.1013
  7. H.-Y. Lee, "High-tag anti-collision algorithm to improve the efficiency of tag identification in active RFID system," J. KIECS, vol. 7, no. 2, pp. 235-242, Apr. 2012.
  8. D. K. Klair, K. W. Chin, and R. Raad, "A survey and tutorial of RFID anti-collision protocols," IEEE Commun. Surveys & Tutorials, vol. 12, no. 3, pp. 400-421, Third Quarter 2010. https://doi.org/10.1109/SURV.2010.031810.00037
  9. C. Wang, M. LI, J. Qiao, W. Wang, and X. Li, "An advanced dynamic framed-slotted aloha algorithm based on bayesian estimation and probability response," Int. J. Antennas and Propagation, vol. 2013, Article ID 743468, pp. 1-8, 2013.
  10. R. P. B. Mota and D. M. Batista, "A dynamic frame slotted ALOHA anti-collision algorithm for the internet of things," in Proc. the 29th Annu. ACM Symp. Applied Computing, pp. 686-691, Mar. 2014.
  11. J.-T. Kim, B.-G. Kang, and K.-W. Lee, "An Implementation of modified frame slotted ALOHA algorithm for fast tag collection in an active RFID system," J.KICS, vol. 39B, no. 09, pp. 598-605, Sept. 2014. https://doi.org/10.7840/kics.2014.39B.9.598
  12. F. C. Schoute, "Dynamic frame length ALOHA," IEEE Trans. Commun., vol. 31, no. 4, pp. 565-568, Apr. 1983. https://doi.org/10.1109/TCOM.1983.1095854
  13. Panasonic corp, "Manganese Dioxide Lithium Coin Batteries: Individual Specifications / CR2032 data sheets," [online]. available: http://www.cr2032.co/cms/prodimages/panasonic_cr2032_datasheet.pdf, Aug. 2005.

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