Enhancing the Efficiency of Active RFID-Based Indoor Location Systems

Silva, Rafael de Amorim; Gonçalves, Paulo André da S.

doi:10.1109/wcnc.2009.4917714

Cited by 15 publications

(3 citation statements)

References 15 publications

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“…Thus, the fusion of the LANDMARC and Bayesian-based algorithms [ 57 ] provides a new well-performed method. De Amorim Silva and Da S. Goncalves [ 58 ] improve the LANDMARC algorithm by means of an algorithm that provides a second estimation of the possible area in which an object could be located. Finally, the LANDMARC proposal is extended to evaluate the position, not only in the plane, but also in three dimensions by Khan and Antiwal [ 59 ].…”

Section: Other Applications In Interiors: Location and Navigationmentioning

confidence: 99%

Evolution of RFID Applications in Construction: A Literature Review

Valero

Adán

Cerrada

2015

Sensors

122

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Radio frequency identification (RFID) technology has been widely used in the field of construction during the last two decades. Basically, RFID facilitates the control on a wide variety of processes in different stages of the lifecycle of a building, from its conception to its inhabitance. The main objective of this paper is to present a review of RFID applications in the construction industry, pointing out the existing developments, limitations and gaps. The paper presents the establishment of the RFID technology in four main stages of the lifecycle of a facility: planning and design, construction and commission and operation and maintenance. Concerning this last stage, an RFID application aiming to facilitate the identification of pieces of furniture in scanned inhabited environments is presented. Conclusions and future advances are presented at the end of the paper.

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Section: Other Applications In Interiors: Location and Navigationmentioning

confidence: 99%

Evolution of RFID Applications in Construction: A Literature Review

Valero

Adán

Cerrada

2015

Sensors

122

View full text Add to dashboard Cite

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“…The most popular GNSS includes the Global Positioning System (GPS) in USA [3], GLONASS in Russia [4], Galileo in Europe [5] and Beidou system in China [6]. Among non-GNSS technologies, such as the radio frequency identification [7], ultra-wideband [8], ultrasonic wave [9], assisted GPS [10], infrared ray [11], Bluetooth [12] and Zigbee [13] based location systems, the Wi-Fi RSS-based location matching has been demonstrated as a better way to locate users' positions in the aspects of localization precision, accuracy, system deployment and maintenance cost.…”

Section: Introductionmentioning

confidence: 99%

A Two-Stage Fingerprint Filtering Approach for Wi-Fi RSS-Based Location Matching

Zhou¹,

Tian²,

Xiang³

et al. 2013

JCP

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This paper presents a two-stage fingerprint filtering (FF) approach for the received signal strength (RSS) based location matching in Wi-Fi area. With the popularity of ubiquitous computing and location-based services in a recent decade, the Wi-Fi RSS-based location matching has been one of the most widely recognized method to locate users' positions due to its low cost of deployment and maintenance. However, the indoor or urban wireless channel is characterized by time varying, non-line-of-sight, and multi-path interference. The efficiency of fingerprints is significantly deteriorated. Therefore, constructing a reliable radio map for the location matching becomes a key and unavoidable challenge. The experiments conducted in the real Wi-Fi environment indicate that the FF approach can yield better location precision (or the probability of locating the test position at matching position) and accuracy (or the cumulative distribution functions of errors) compared with the conventional neighbor matching.

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“…Therefore, in response to these compelling problems, much attention has been paid for the various indoor location systems. Examples include the assistant GPS (A-GPS) [3], infrared radiation (IR) [4], ultrasonic wave (UW) [5], ultra wideband (UWB) [6], radio frequency identification (RFID) [7], Bluetooth [8] and ZigBee based indoor location systems [9]. However, they require specialized hardware and induce high maintenance costs [10].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Autocorrelation Approach for Fingerprint-based Distance Dependent Positioning Algorithms in WLAN Indoor Areas

Zhou¹,

Xu²,

Ma³

2011

JNW

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This paper addresses the adaptive autocorrelation approach for the fingerprinting-based distance dependent positioning algorithms (DDPAs) in wireless local area network (WLAN) indoor environment. As far as we know, although the DDPAs, like nearest neighbor (NN), K nearest neighbors (KNN) and weighted KNN (WKNN) algorithms, have been widely utilized for the indoor and outdoor location based services (LBS), the guarantee of location accuracy and precision has always been one of the significant compelling problems. Therefore, in response to this challenging task, the expected errors and associated confidence probabilities are mathematically deduced by the assumptions of logarithmic attenuation model and Gaussian distributions of received radio signal strength (RSS) at the receiver. However, because of the non line of sight (NLOS) property, time-varying interference and multipath effect, the measured radio strength varies a lot in the real-world indoor environment. Therefore, in order to fill this gap, a novel adaptive autocorrelation preprocessing approach is utilized to eliminate the singular strength from the original prestored radio map and improve the matching accuracy of DDPAs. Finally, compared with traditional DDPAs without adaptive autocorrelation preprocessing, the feasibility and effectiveness of the adaptive autocorrelation-based DDPAs are verified by approximately decreasing the average errors from 1.13m to 0.75m

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Enhancing the Efficiency of Active RFID-Based Indoor Location Systems

Cited by 15 publications

References 15 publications

Evolution of RFID Applications in Construction: A Literature Review

Evolution of RFID Applications in Construction: A Literature Review

A Two-Stage Fingerprint Filtering Approach for Wi-Fi RSS-Based Location Matching

Adaptive Autocorrelation Approach for Fingerprint-based Distance Dependent Positioning Algorithms in WLAN Indoor Areas

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