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Author: search.filters.author.Chuenurajit, Thanapong

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    Indoor localization system based on fingerprint technique using RFID passive tag
    (2013-09-02)
    Phimmasean, Sisongkham
    ;
    Chuenurajit, Thanapong
    ;
    Cherntonomwong, Panarat
    Radio Frequency Identification (RFID) technology is one of emerging technologies in which many countries in the world pay attention to. Many applications of localization use RFID technology. In the present date, there are many papers of localization reviewed. However, indoor localization system for real applications is still limited. This research proposes indoor localization system using fingerprint technique to find the estimated location of the target. This technique is compared its signal (or ID information) pattern with a previously recorded database of known signal (or ID information)-location data. The Dot Product is applied as the pattern matching method. The maximum and 2<sup>nd</sup> maximum values of the dot product are considered. The fingerprint locations providing the maximum and 2<sup>nd</sup> maximum values of the dot product are averaged. This average location is referred to as the location of the target. The average error distance is approximately 75 cm. This result shows a good estimation results since the error of the target estimation are not more than the gap between two fingerprint locations (120 cm). From the result, we can conclude that our proposed method can be applied in the real situation and application. © 2013 IEEE.
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    Robustness of 3D indoor localization based on fingerprint technique in wireless sensor networks
    (2013-09-02)
    Chuenurajit, Thanapong
    ;
    Phimmasean, Sisongkham
    ;
    Cherntanomwong, Panarat
    The simple approaches of an indoor localization have been continuously developed and extensively published. In order to achieve a challenge of the effective indoor localization, the expected localization system should be a high efficiency such as high accuracy, simple, robustness and effective system. For the indoor localization, the researches have been supported by the advancement of the sensor node technology. One application of this technology is wireless sensor networks-based indoor localization. The simple approaches of 2-dimensional (2D) indoor localization have been widely proposed. Since a realistic system includes complicated terrain and different environment, 3-dimensional (3D) consideration is more suitable to be applied in the real life. This paper proposes an approach of 3D indoor localization based on ZigBee standard. Fingerprint technique-based received signal strength indicator (RSSI) is employed. Due to fluctuating signals in indoor environment, robustness of fingerprint technique will be proposed in order to solve the propagation mechanisms. The k-Nearest Neighbor using Euclidean distance is utilized as the pattern matching algorithm. For the case study, 8 reference nodes and 1 target node are stationary placed on a bookshelf in clean and human body's effect environments. The expected errors of estimated target locations should not be more than 36 cm (each level height). From the results, we can acquire an acceptable accuracy. It shows that our system can be applied in the real application. © 2013 IEEE.