RFID-assisted indoor localization and the impact of interference on its performance

Papapostolou, Apostolia; Chaouchi, Hakima

doi:10.1016/j.jnca.2010.04.009

Cited by 57 publications

(23 citation statements)

References 18 publications

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“…The triangulation method depends largely on an accurate signal propagation model, which greatly decreases its effectiveness. (2) Scene analysis [6][7][8][9][10]: the scene analysis method captures the signal strength in the sensing area and compares it with a preexisting signal strength database [6,11,12]: the proximity method needs to measure the nearness of a set of neighboring reference tags. Those tags are close to the target, and their locations are fixed and known.…”

Section: Related Workmentioning

confidence: 99%

An Improved RFID-Based Localization Algorithm for Wireless Sensor Networks

Ling

et al. 2013

International Journal of Distributed Sensor Networks

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The position of RFID-tagged objects in sensor networks is becoming an important feature for ubiquitous computing applications. In this work, we develop an improved positioning algorithm for RFID-tagged objects. Compared with the VIRE algorithm, we apply a nonlinear interpolation method to further improve the positioning precision. We also introduce the concept of credibility of reference tags to reduce the influence of abnormal tags on positioning precision. Finally, we provide detailed simulations to evaluate the proposed technique.

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Section: Related Workmentioning

confidence: 99%

An Improved RFID-Based Localization Algorithm for Wireless Sensor Networks

Ling

et al. 2013

International Journal of Distributed Sensor Networks

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Section: Rtls Technologiesmentioning

confidence: 99%

“…Three major methods are used to locate RFID tags or readers: (1) triangulation, (2) proximity, and (3) scene analysis (fingerprinting) [6,7]. The first two methods require interference among RFID components and some materials are the main limiting factors [6]. Li et al [7] have reviewed several RFID-based indoor location sensing solutions and concluded that no single solution meets all the criteria for success, and the adaptability of these solutions is uncertain.…”

Section: Rtls Technologiesmentioning

confidence: 99%

Location Information Management of RFID-Equipped Building Components

Motamedi¹,

Hammad²

2011

28th International Symposium on Automation and Robotics in Construction (ISARC 2011)

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Availability of accurate location information of components decreases the search time and increases the chance of using shared resources. In our previously proposed framework, RFID tags are attached to components at an early stage of the lifecycle and their memory is used for various purposes throughout the lifecycle. In this paper, we propose to store various types of location-related information (e.g., current location, temporary location) on RFID tags. Details about how these data can help users (e.g., inspectors) find components in the operation phase are further elaborated. Furthermore, the paper discusses how the location data on tags can provide the users with their current location and predefined paths in the building. For example, a user equipped with an RFID reader is able to see his/her approximate location on a floor plan based on the information read from surrounding tags without having access to any Real-Time Location System. A case study is designed and implemented in a high-rise university building.

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“…Furthermore, location information is central to personalized applications in different areas and it is the basis for the delivery of personalized and location-based services (LBS). It is the basis for context awareness within the building, which involves an automatic recognition of the user's location and activity (Zhao et al, 2007;Papapostolou and Chaouchi, 2011).…”

Section: Introductionmentioning

confidence: 99%

“…It uses active tags that are attached to target assets and fixed reference tags with known locations that are placed in the sensing area. Sanpechuda and Kovavisaruch (2008), Papapostolou andChaouchi (2011), andLi andBecerik-Gerber (2011) provided thorough surveys and comparisons among various projects for tag and reader localization.…”

Section: Introductionmentioning

confidence: 99%

Indoor Localization of RFID-Equipped Movable Assets Using Mobile Reader Based on Reference Tags Clustering

Motamedi¹,

Soltani²,

Hammad³

2013

Proceedings of the 30th International Symposium on Automation and Robotics in Construction and Mining (ISARC 2013): Building Th

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Indoor localization has gained importance as it has the potential to improve various processes related to the lifecycle management of facilities and to deliver personalized and location-based services. Radio Frequency Identification (RFID) based systems, on the other hand, have been widely used in different applications in construction and maintenance. This paper investigates the usage of RFID technology for indoor localization of RFID equipped movable assets during the operation phase of facilities. The location-related data on RFID tags attached to fixed assets are extracted from a Building Information Model (BIM) and can provide context-aware information inside the building which can improve Facilities Management (FM) processes. The paper proposes a new approach to use received signals from available reference tags in the building attached to fixed assets to locate movable assets. The approach uses signal pattern matching and clustering algorithms for localization. As a result, a user equipped with an RFID reader is able to estimate the location of target assets, without having access to any RealTime Location System (RTLS) infrastructure. A case study is performed to demonstrate the feasibility of proposed methods.

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RFID-assisted indoor localization and the impact of interference on its performance

Cited by 57 publications

References 18 publications

An Improved RFID-Based Localization Algorithm for Wireless Sensor Networks

An Improved RFID-Based Localization Algorithm for Wireless Sensor Networks

Location Information Management of RFID-Equipped Building Components

Indoor Localization of RFID-Equipped Movable Assets Using Mobile Reader Based on Reference Tags Clustering

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