한국통신학회논문지 (The Journal of Korean Institute of Communications and Information Sciences)

  • 제40권5호
  • /
  • Pages.871-885
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  • 2015
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  • 1226-4717(pISSN)
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  • 2287-3880(eISSN)
한국통신학회 (The Korean Institute of Commucations and Information Sciences)
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능동형 RFID 시스템의 성능 향상을 위한 연구

Study on the Performance Improvement of Active RFID System

  • Kim, Ji-Tae (Seoul National University of Science & Technology, Graduate School of Public Policy and Information Technology) ;
  • Kim, Jin-Sung (Yonsei University, Department of Information and Industrial Engineering) ;
  • Lee, Kang-Won (Seoul National University of Science & Technology, Graduate School of Public Policy and Information Technology)
  • 투고 : 2015.04.06
  • 심사 : 2015.04.29
  • 발행 : 2015.05.31
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초록

본 연구에서는 우선 고속으로 태그 수집을 위한 2.4 GHz 능동형 RFID 시스템의 시뮬레이션 모델을 구축 하였다. 그리고 단순화 된 Collection 명령과 Ack 절차, 슬롯의 충돌 확률(k1)과 충돌이 발생한 슬롯의 평균 태그 수($k_2$)를 이용하여 태그수를 예측하는 새로운 방법을 제안하였다. 이들에 따른 능동형 RFID 시스템의 성능 추적을 구축한 시뮬레이션 모델을 통해 획득하였다. Query 명령을 사용하여 Collection 명령과 Ack를 간소화하고 $k_1$과 $k_2$를 이용하여 태그수를 예측하는 방법의 조합이 모든 성능 면에서 가장 우수한 것으로 나타났다. 이는 Query 명령을 이용한 Collection 명령과 Ack의 간소화는 태그 인식 속도를 줄이는데 기여했고 $k_1$과 $k_2$를 이용하여 태그수를 예측하는 방법은 Throughput을 향상시킬 뿐만 아니라 이로 인해 Collection 라운드 횟수를 줄여 태그 인식 속도를 줄일 수 있었다. 본 연구에서 제안한 방법은 Throughput, 평균 인식 시간, 1초 안의 평균 인식률 모두에서 이상적인 경우의 성능값과 매우 유사하게 나타나 제안한 방법의 유효성을 확인 할 수 있었다.

The improved DFSA for 2.4GHz multi-tags active RFID is suggested in 2 different ways: 1) simplified tag collection and Ack procedure using query command and 2) modified Schoute's method to control the number of slots in the frame. To evaluate the performance of the improved system we develop the simulation model. Varying the number of tags in the system we track the performance measures such as throughput, recognition time for multi-tags and tag recognition rate during a given time. The suggested method shows the best performance over all measures. Simplification of collection and Ack commands using query commands contributes to reducing tag recognition time. And the modified Schoute's method which controls the frame size using $k_1$ and $k_2$ contributes to throughput improvement and reduces target cognition time by reducing the number of collection rounds.

키워드

참고문헌

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피인용 문헌

  1. Power consumption estimation of active RFID system using simulation vol.20, pp.8, 2016, https://doi.org/10.6109/jkiice.2016.20.8.1569
  2. 초기 프레임 크기 예측을 통한 DFSA(Dynamic Frame Slotted Aloha) 알고리즘 성능 개선 vol.21, pp.8, 2015, https://doi.org/10.6109/jkiice.2017.21.8.1517