Framed ALOHA for Multiple RFID Objects Identification

Bin ZHEN; Mamoru KOBAYASHI; Masashi SHIMIZU

doi:10.1093/ietcom/e88-b.3.991

Framed ALOHA for Multiple RFID Objects Identification

Bin ZHEN, Mamoru KOBAYASHI, Masashi SHIMIZU

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Radio frequency identification (RFID) enables everyday objects to be identified, tracked, and recorded. The RFID tags are must be extremely simple and of low cost to be suitable for large scale application. An efficient RFID anti-collision mechanism must have low access latency and low power consumption. This paper investigates how to recognize multiple RFID tags within the reader's interrogation ranges without knowing the number of tags in advance by using framed ALOHA. To optimize power consumption and overall tag read time, a combinatory model was proposed to analyze both passive and active tags with consideration on capture effect over wireless fading channels. By using the model, the parameters on tag set estimation and frame size update were presented. Simulations were conducted to verify the analysis. In addition, we come up with a proposal to combat capture effect in deterministic anti-collision algorithms.

Publication: IEICE TRANSACTIONS on Communications Vol.E88-B No.3 pp.991-999

Publication Date: 2005/03/01

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DOI: 10.1093/ietcom/e88-b.3.991

Type of Manuscript: Special Section PAPER (Special Section on Ubiquitous Networks)

Category: Network

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Bin ZHEN, Mamoru KOBAYASHI, Masashi SHIMIZU, "Framed ALOHA for Multiple RFID Objects Identification" in IEICE TRANSACTIONS on Communications, vol. E88-B, no. 3, pp. 991-999, March 2005, doi: 10.1093/ietcom/e88-b.3.991.
Abstract: Radio frequency identification (RFID) enables everyday objects to be identified, tracked, and recorded. The RFID tags are must be extremely simple and of low cost to be suitable for large scale application. An efficient RFID anti-collision mechanism must have low access latency and low power consumption. This paper investigates how to recognize multiple RFID tags within the reader's interrogation ranges without knowing the number of tags in advance by using framed ALOHA. To optimize power consumption and overall tag read time, a combinatory model was proposed to analyze both passive and active tags with consideration on capture effect over wireless fading channels. By using the model, the parameters on tag set estimation and frame size update were presented. Simulations were conducted to verify the analysis. In addition, we come up with a proposal to combat capture effect in deterministic anti-collision algorithms.
URL: https://globals.ieice.org/en_transactions/communications/10.1093/ietcom/e88-b.3.991/_p

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@ARTICLE{e88-b_3_991,
author={Bin ZHEN, Mamoru KOBAYASHI, Masashi SHIMIZU, },
journal={IEICE TRANSACTIONS on Communications},
title={Framed ALOHA for Multiple RFID Objects Identification},
year={2005},
volume={E88-B},
number={3},
pages={991-999},
abstract={Radio frequency identification (RFID) enables everyday objects to be identified, tracked, and recorded. The RFID tags are must be extremely simple and of low cost to be suitable for large scale application. An efficient RFID anti-collision mechanism must have low access latency and low power consumption. This paper investigates how to recognize multiple RFID tags within the reader's interrogation ranges without knowing the number of tags in advance by using framed ALOHA. To optimize power consumption and overall tag read time, a combinatory model was proposed to analyze both passive and active tags with consideration on capture effect over wireless fading channels. By using the model, the parameters on tag set estimation and frame size update were presented. Simulations were conducted to verify the analysis. In addition, we come up with a proposal to combat capture effect in deterministic anti-collision algorithms.},
keywords={},
doi={10.1093/ietcom/e88-b.3.991},
ISSN={},
month={March},}

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TY - JOUR
TI - Framed ALOHA for Multiple RFID Objects Identification
T2 - IEICE TRANSACTIONS on Communications
SP - 991
EP - 999
AU - Bin ZHEN
AU - Mamoru KOBAYASHI
AU - Masashi SHIMIZU
PY - 2005
DO - 10.1093/ietcom/e88-b.3.991
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E88-B
IS - 3
JA - IEICE TRANSACTIONS on Communications
Y1 - March 2005
AB - Radio frequency identification (RFID) enables everyday objects to be identified, tracked, and recorded. The RFID tags are must be extremely simple and of low cost to be suitable for large scale application. An efficient RFID anti-collision mechanism must have low access latency and low power consumption. This paper investigates how to recognize multiple RFID tags within the reader's interrogation ranges without knowing the number of tags in advance by using framed ALOHA. To optimize power consumption and overall tag read time, a combinatory model was proposed to analyze both passive and active tags with consideration on capture effect over wireless fading channels. By using the model, the parameters on tag set estimation and frame size update were presented. Simulations were conducted to verify the analysis. In addition, we come up with a proposal to combat capture effect in deterministic anti-collision algorithms.
ER -