RFID Support for Accurate 3D Localization

Maneesilp, J.; Wang, Chong; Wu, Hongyi; Tzeng, Nian-Feng

doi:10.1109/tc.2012.83

Cited by 44 publications

(29 citation statements)

References 17 publications

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“…In the following, we will analyze the factors, respectively, and compare the mean error of the proposed method with the method in research 29 (denote as partial least squares (PLS) method) and the method in research 30 (denote as APM method) in the same environment.…”

Section: Influence Factorsmentioning

confidence: 99%

A three-dimensional localization algorithm for passive radio-frequency identification device tag

Liu

Zhong

Luo

2017

International Journal of Distributed Sensor Networks

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The accuracy and efficiency of radio-frequency identification device tag localization is significant to a large number of existing and upcoming radio-frequency identification device applications. In this article, we have introduced a novel method to locate a radio-frequency identification device tag in three-dimensional space. The proposed method uses readers with multiple power levels to locate the passive radio-frequency identification device tags. First, we preprocess the data and estimate the distances between the readers and target tag. Then, we use sphere trilateration method to estimate the location of the radio-frequency identification device tags in three-dimensional space. Finally, we use planar fit method and the method of least squares to reduce the localization error. Both the simulation and testbed experiment results have shown that the proposed method can reach a higher positioning accuracy with less radio-frequency identification device readers and more robust to the environment than other existing methods.

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Section: Influence Factorsmentioning

confidence: 99%

A three-dimensional localization algorithm for passive radio-frequency identification device tag

Liu

Zhong

Luo

2017

International Journal of Distributed Sensor Networks

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“…A benchmark named as system reading efficiency (SRE) is defined and used to reflect the successful detection ability of a passive RFID location system. SRE is defined as the ratio of the number of successful RFID tag readings to the total number of RFID tag readings attempted, shown in equation (2). SRE is eventually relevant to a concept of false reading in RFID location systems, including false-positive reading errors (unexpected) in UHF systems and false-negative reading errors (missing) in HF systems.…”

Section: Rfid-loc Strategymentioning

confidence: 99%

“…adio frequency Identification (RFID) technology has been widely adopted in various industrial tracking and location applications [1][2][3][4][5][6]. The rapid proliferation of these RFID location systems in the past decade has given rise to an important concept of the Internet of Things (IoT).…”

Section: Introductionmentioning

confidence: 99%

“…In literature, distributing dense passive RFID tags [7][8][9][10][11][12][13] on the floor as landmarks has been recognized to be an effective and efficient solution. By comparison with other RFID location systems using signal analysis methods [14][15][16] or active RFID tags [17], passive RFID location systems are more welcomed by industry due to their low cost, high accuracy and good scalability.…”

Section: Introductionmentioning

confidence: 99%

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PRLS-INVES: A General Experimental Investigation Strategy for High Accuracy and Precision in Passive RFID Location Systems

Yang

2015

IEEE Internet Things J.

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Abstract-Due to cost-effectiveness and easy-deployment, RFID location systems with passive floor tags are commonly utilized into many industrial fields, particularly in the emerging environment of the internet of things (IoT). High accuracy and precision are key demands for these location systems. Numerous studies have attempted to improve localisation accuracy and precision by using either dedicated RFID infrastructures or advanced localisation algorithms. But these studies on improving RFID location systems mostly consider utilization of novel RFID localisation solutions rather than optimization of their utilization. Practical use of these solutions in industrial applications can lead to increased cost and deployment difficulty of RFID system. This paper attempts to investigate how accuracy and precision in passive RFID location systems are impacted by RFID infrastructures and localisation algorithms. A general experimental based investigation strategy, RFID-Loc, is designed for analyzing and evaluating the factors that impact the performance of a passive RFID location system. By experimenting a case study on passive HF RFID location systems with this strategy, it is discovered that (1) RFID infrastructure is the primary factor determining the localisation capability of a RFID location system. (2) Localisation algorithm is capable of improving localisation accuracy and precision, but limited by the primary factor. A discussion how to efficiently improve localisation accuracy and precision in passive HF RFID location systems is given.

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“…There are generally two types of deployments used to detect sensor nodes. The first is to fix several receivers that cover particular regions [3]. Thus, the numbers of receivers and their distributions have a direct impact on the accuracy of localization.…”

Section: Introductionmentioning

confidence: 99%

Mobile Receiver-Assisted Localization Based on Selective Coordinates in Approach to Estimating Proximity for Wireless Sensor Networks

Hussin¹,

Nakamoto²

2014

IJACSA

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Abstract-Received signal strength (RSS)-based mobile localization has become popular due to its inexpensive localization solutions in large areas. Compared to various physical properties of radio signals, RSS is an attractive approach to localization because it can easily be obtained through existing wireless devices without any additional hardware. Although RSS is not considered to be a good choice for estimating physical distances, it provides some useful distance related information in adding and indicating connectivity information in neighboring nodes. RSS-based localization is generally divided into range-based and rangefree. Range-based localization can achieve excellent accuracy but is too costly to apply to large-scale networks. Methods of range-free localization are regarded as cost-effective solutions for localization in sensor networks. However, the localizations are subject to the effect of radio patterns that affect variations in the radial distance estimates between nodes. It is a challenging task to select an efficient RSS value that can provide small variations in the radial distance in wireless environments. We propose a method of Mobile Localization using the Proximities of Selective coordinates (MoLPS) to localize target nodes by using information on proximities between target nodes and mobile receivers as a metric to estimate the location of target nodes. We ran a simulation experiment to assess the performance of MoLPS with 100 target nodes that were randomly deployed along a sensory field boundary. We found from the results of the simulation experiment that localization error had been reduced to below 2m in more than 80% of the target nodes.

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RFID Support for Accurate 3D Localization

Cited by 44 publications

References 17 publications

A three-dimensional localization algorithm for passive radio-frequency identification device tag

A three-dimensional localization algorithm for passive radio-frequency identification device tag

PRLS-INVES: A General Experimental Investigation Strategy for High Accuracy and Precision in Passive RFID Location Systems

Mobile Receiver-Assisted Localization Based on Selective Coordinates in Approach to Estimating Proximity for Wireless Sensor Networks

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