Hybrid WLAN-RFID Indoor Localization Solution Utilizing Textile Tag

Hasani, Masoumeh; Talvitie, Jukka; Sydänheimo, Lauri; Lohan, Elena Simona; Ukkonen, Leena

doi:10.1109/lawp.2015.2406951

Cited by 34 publications

(15 citation statements)

References 10 publications

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“…To overcome this problem, in this paper, we have presented an indoor positioning method considering the AP combination geometric distribution adopting dilution of precision (DOP) and using IEEE 802.11 RSSI measurements. The experimental results show that the proposed method can reduce the average positioning error around 25%, and it is always better than the other existing method [11] which only uses IEEE 802.11 measurements without adopting AP configuration information. ME: Maximum Error; AE: Average Error; Positioning Error(of locati on using the AP combination AP1, AP2 and AP 4); Average E rror(of location using the AP combination AP1, AP2 and AP3)…”

Section: Resultsmentioning

confidence: 91%

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An AP Selection Criteria for Enhanced Indoor Positioning using IEEE 802.11 RSSI Measurements and AP Configuration Information

Hwang¹,

Lee²,

Park³

2016

Journal of Electrical Engineering and Technology

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-The demand for LBS (Location Based Services) is increasing in the development of communication and mobile technologies. Positioning technology is a core technology for LBS, because LBS is based on a position of each device or user. But positioning technology especially for indoor environments is getting a lot of attention. Indoor positioning errors usually occur seriously in indoor environments where APs (Access Points) are set in a very concentrated and complex arrangement. In order to reduce indoor positioning errors, we adopt DOP (Dilution of Precision) which reflects an APs configuration information. In this paper, we propose an enhanced indoor positioning method using IEEE 802.11 RSSI measurements and AP configuration information.

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Section: Resultsmentioning

confidence: 91%

“…The RSSI has the characteristic that it can decrease exponentially according to an increase on the distance. Because of these characteristic, we will use the RSSI attenuation model and is given as [10,11]:…”

Section: Received Signal Strength Indicator (Rssi)mentioning

confidence: 99%

An AP Selection Criteria for Enhanced Indoor Positioning using IEEE 802.11 RSSI Measurements and AP Configuration Information

Hwang¹,

Lee²,

Park³

2016

Journal of Electrical Engineering and Technology

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“…Furthermore, the studies by Jiménez Ruiz, Seco Granja, Prieto Honorato, and Guevara Rosas (2012), Ho and Lee (2015) and Tian, Salcic, Wang, and Pan (2015) made use of RFID and Inertial while the studies by Hasani, Talvitie, Sydanheimo, Lohan, and Ukkonen (2015) and Ettlinger and Retscher (2016) made use of RFID and WLAN. Similarly, the studies by De Silva, Mann, and Gosine (2015) and Marin-Garcia, Chavez-Burbano, Muñoz-Arcentles, Calero-Bravo, and Perez-Jimenez (2015) used a combination of Ultrasound and Optical, while Sosa-Sesma and Perez-Navarro (2016) used Ultrasound and WLAN.…”

Section: Hybrid Positioning Systemsmentioning

confidence: 99%

A State-of-the-Art Survey of Indoor Positioning and Navigation Systems and Technologies

Sakpere

Oshin

Mlitwa

2017

SACJ

150

129

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The research and use of positioning and navigation technologies outdoors has seen a steady and exponential growth. Based on this success, there have been attempts to implement these technologies indoors, leading to numerous studies. Most of the algorithms, techniques and technologies used have been implemented outdoors. However, how they fare indoors is different altogether. Thus, several technologies have been proposed and implemented to improve positioning and navigation indoors. Among them are Infrared (IR), Ultrasound, Audible Sound, Magnetic, Optical and Vision, Radio Frequency (RF), Visible Light, Pedestrian Dead Reckoning (PDR)/Inertial Navigation System (INS) and Hybrid. The RF technologies include Bluetooth, Ultra-wideband (UWB), Wireless Sensor Network (WSN), Wireless Local Area Network (WLAN), Radio-Frequency Identification (RFID) and Near Field Communication (NFC). In addition, positioning techniques applied in indoor positioning systems include the signal properties and positioning algorithms. The prevalent signal properties are Angle of Arrival (AOA), Time of Arrival (TOA), Time Difference of Arrival (TDOA) and Received Signal Strength Indication (RSSI), while the positioning algorithms are Triangulation, Trilateration, Proximity and Scene Analysis/ Fingerprinting. This paper presents a state-of-the-art survey of indoor positioning and navigation systems and technologies, and their use in various scenarios. It analyses distinct positioning technology metrics such as accuracy, complexity, cost, privacy, scalability and usability. This paper has profound implications for future studies of positioning and navigation.

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“…It enables a long detection range of 10-30 m. So active RFID can be well used for indoor positioning, which has been shown in recent research [38][39][40]. Also, there have been some systems that use a hybrid of WLAN and RFID technology like [41].…”

Section: Rfid Rfid (Radiomentioning

confidence: 99%

Towards Mobile Information Systems for Indoor Space

Zhang

Jin

Yue

et al. 2016

Mobile Information Systems

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With the rapid development of Internet of things (IOT) and indoor positioning technologies such as Wi-Fi and RFID, indoor mobile information systems have become a new research hotspot. Based on the unique features of indoor space and urgent needs on indoor mobile applications, in this paper we analyze some key issues in indoor mobile information systems, including positioning technologies in indoor environments, representation models for indoor spaces, query processing techniques for indoor moving objects, and index structures for indoor mobile applications. Then, we present an indoor mobile information management system named IndoorDB. Finally, we give some future research topics about indoor mobile information systems.

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Hybrid WLAN-RFID Indoor Localization Solution Utilizing Textile Tag

Cited by 34 publications

References 10 publications

An AP Selection Criteria for Enhanced Indoor Positioning using IEEE 802.11 RSSI Measurements and AP Configuration Information

An AP Selection Criteria for Enhanced Indoor Positioning using IEEE 802.11 RSSI Measurements and AP Configuration Information

A State-of-the-Art Survey of Indoor Positioning and Navigation Systems and Technologies

Towards Mobile Information Systems for Indoor Space

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