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    Investigation of Wireless Body Area Network Localization Based on Measurement Data
    (2022-01-01)
    Promwong, Sathaporn
    ;
    Khongsomboon, Khamphong
    ;
    Chaisang, Aditep
    Short-range wireless communication is important for application use in wireless medical monitoring systems and wireless body area network localizations. Therefore, the channel's characteristics and the human body effect must be studied. This paper will investigate the wireless body area network localization and ZigBee technology based on the IEEE 802.15.4. Moreover, model wireless body area network measurement using a vector network analyzer at the frequency range of 2.2 GHz to 2.6 GHz for measurement and recording. In the experiment result, the wireless body area network localization is analyzed and evaluated by considering the received signal strength and distance error shown in the cumulative distribution function based on the CLEAN algorithm. From experimental studies, this project is beneficial for development studies and essential information for future research studies of wireless body area network localization applications.
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    Accuracy Study of Indoor Positioning with Bluetooth Low Energy Beacons
    (2020-03-01)
    Phutcharoen, Kanyanee
    ;
    Chamchoy, Monchai
    ;
    Supanakoon, Pichaya
    Currently, Bluetooth low energy (BLE) beacons are widely used for positioning, especially an indoor environment. However, there is still high error due to dense multipath fading that often occurs in the indoor environment. This paper presents the accuracy study of indoor positioning with BLE beacons. The indoor environment is the room of 91.8 m<sup>2</sup> with 3 BLE beacons. The user equipment (UE), iPhone XS Max, with Beacon Analyzer application is used to measure the received signal strength (RSS) of each BLE beacon. Fingerprinting technique with least root mean square (RMS) error matching is used to estimate the position of UE. The accuracy that obtained from single measurement and average five measurements is studied. The RSS fingerprint of each BLE beacon is shown. The cumulative distribution function (CDF) of distance error is evaluated and illustrated. From the results, the average five measurements can reduce the average distance error about 0.86 m.
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    Performance comparison between UWB and NB propagation models for an indoor localization
    (2015-04-22)
    Vinicchayakul, Wipassorn
    ;
    Promwong, Sathaporn
    Nowadays, an indoor localization has been widely employed in some applications such as finding itself in a department store. Nevertheless, general indoor localization has the moderate effectiveness which some applications require high accuracy to use in emergency situations. Thus, the indoor localization has been improved in many ways. Normally, most methods are acceptable to use in finding a location within the building such as WLAN with the fingerprinting technique. Therefore, the fingerprinting technique was used in this paper. Then, narrowband (NB) and ultra wideband (UWB) signals were compared in order to show about the efficiency in the indoor localization. The channel model was used from VNA at the frequency range 3 GHz to 11 GHz. As the result, the best result of UWB localization modeling has yield as 90.84% at 1 meter accuracy value in 3 rooms whereas the best result of WLAN localization modeling has yield as 36.64% at 3 meters accuracy value in 3 rooms. Then, UWB signal is more suitable than NB signal.
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    Improvement of fingerprinting technique for UWB indoor localization
    (2014-01-01)
    Vinicchayakul, Wipassorn
    ;
    Promwong, Sathaporn
    The indoor localization is highly desired for elevation in the industrial, public safety and medical technology. Its significant requirement is a high accuracy in dense multipath fading environments. This paper improves the main problem of indoor localization by using fingerprinting technique based on ultra wideband (UWB) channel measurement. In addition, the neural network algorithm is used to find the location that has 3 dimensions, x plane, y plane and z plane. The first path loss, the delay times of the first part, the average path loss and the average of delay time were applied to create the ultra wideband radio propagation parameters for fingerprinting technique. the results are shown in terms of histogram of distance errors between update and non-update the databases and countour graph of each of distance errors on the coordinates. According to the results, the fingerprinting technique with update database can identify the location more correctly than the fingerprinting technique with non-update database. It had accuracy at 1 meter as 88.57%. while the fingerprinting technique with non-update database was affected from the environment and the accuracy at 1 meter was lower than the fingerprinting technique with update database all the times of experiment. © 2014 IEEE.