Fast identification of the missing tags in a large RFID system

Zhang, Rui; Liu, Yunzhong; Zhang, Yanchao; Sun, Jianhua

doi:10.1109/sahcn.2011.5984908

Cited by 88 publications

(97 citation statements)

References 18 publications

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“…There are two scenarios (1) where the tag distribution in physical space is unknown. (2) Where the ag distribution is known. The algorithm assumes a planned deployment of readers where it is possible to determine interference and interrogation region of the readers.…”

Section: Title and Authorsmentioning

confidence: 99%

Identification and Detection of Missing RFID Tags using RUN Protocol

Jade¹,

Bhirud²,

Patwari³

et al. 2018

int. jour. eng. com. sci

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Abstract:As human race or human society is growing, the wildlife animals or wild animals are in danger. But as per natures rule, every living creature on this earth is important and has important role ecosystem. The domestic animals get misplaced sometimes and finding them is a tedious task. RFID and sensors have been deployed to detect and identify missing animals by affixing them with cheap passive RFID tag and monitoring them with RFID readers. So the proposed system will help us to detect and find the missing animals using RUN protocol. RUN protocol uses slotted aloha for communication between tags and readers. It execute multiple frame for different seeds to reduce the effect of unexpected tags and also it reduces the time of missing tag detection and identification. To obtain optimal frame sizes and minimum no of times aloha frames should be executed to mitigate the effect of unexpected tags. RUN protocol works with multiple readers with overlapping region. It identifies 100% missing tags in the presence of unexpected tags where as other protocol only identifies 60% of missing tags.

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Section: Title and Authorsmentioning

confidence: 99%

Identification and Detection of Missing RFID Tags using RUN Protocol

Jade¹,

Bhirud²,

Patwari³

et al. 2018

int. jour. eng. com. sci

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“…We consider three parameters that may affect the performance of different Following previous studies on multiple reader protocols [15,40], in the default settings we deploy 64 readers in a grid topology to cover a 10r × 10r area, where r is the interrogation radius of readers. We randomly distribute 1,000,000 tags in the system, resulting that every reader covers approximately 31400 tags.…”

Section: Performance Metrics and Simulation Settingsmentioning

confidence: 99%

Energy-efficient active tag searching in large scale RFID systems

Zhang

Wang

et al. 2015

Information Sciences

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Radio Frequency Identification (RFID) is a key enabling technology of Internet of Things (IoTs) and has attracted much research attention in recent years. RFID can support automatic information tracing and management during the management process in many fields. A typical application of RFID is modern warehouse management, where products are attached with RFID tags and the inventory is managed by retrieving tag IDs. Many practical applications require searching a group of tags to determine whether they are in the system or not. The existing studies on tag searching have mainly focused on improving time efficiency and paid little attention to energy efficiency that is extremely important for active tags powered by built-in batteries. To fill in this gap, this paper investigates the tag searching problem from the angle of energy efficiency. We first propose an Energy-efficient tag Searching protocol in Multiple reader RFID systems, namely ESiM, which pushes per tag energy consumption to the limit as each tag needs to exchange only one bit

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“…By verifying the unique IDs of RFID tags attached to physical objects, RFID readers are able to identify and itemize the objects. Due to small form factor and low cost of RFID tags, RFID systems provide us a scalable and economic way for managing massive objects in a variety of applications including inventory management [8,14,17,22,25], logistics [26,28], object tracking [15,18], etc.…”

Section: Introductionmentioning

confidence: 99%

ZOE: Fast cardinality estimation for large-scale RFID systems

Zheng

2013

2013 Proceedings IEEE INFOCOM

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Abstract-Estimating the RFID cardinality with accuracy guarantee is an important task in large-scale RFID systems. This paper proposes a fast RFID cardinality estimation scheme. The proposed Zero-One Estimator (ZOE) protocol rapidly converges to optimal parameter settings and achieves high estimation efficiency. ZOE significantly improves the cardinality estimation efficiency, achieving 3x performance gain compared with existing protocols. Meanwhile, ZOE guarantees arbitrary accuracy requirement without imposing computation and memory overhead at RFID tags. Due to the simplicity and robustness, the ZOE protocol provides reliable cardinality estimation even over noisy channel. We implement a prototype system using the USRP software defined radio and Intel WISP RFID tags. We also evaluate the performance of ZOE with extensive simulations. The evaluation of ZOE shows encouraging results in terms of estimation accuracy, time efficiency, as well as robustness.

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Fast identification of the missing tags in a large RFID system

Cited by 88 publications

References 18 publications

Identification and Detection of Missing RFID Tags using RUN Protocol

Identification and Detection of Missing RFID Tags using RUN Protocol

Energy-efficient active tag searching in large scale RFID systems

ZOE: Fast cardinality estimation for large-scale RFID systems

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