Duangsuwan, Sarun

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Duangsuwan, Sarun
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Duangsuwan, S.
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sarun.du@kmitl.ac.th

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    Item type:Publication,
    Comparison of path loss prediction models for UAV and IoT air-to-ground communication system in rural precision farming environment
    (2021-02-01)
    Duangsuwan, Sarun
    ;
    Maw, Myo Myint
    The comparison of path loss model for the unmanned aerial vehicle (UAV) and Internet of Things (IoT) air-to-ground communication system was proposed for rural precision farming. Due to the uncertainty of propagation channel in rural precision farming environment, the comparison of path loss prediction was investigated by the conventional particle swarm optimization (PSO) algorithms: PSO (exponential or Exp), PSO (polynomial or Poly) and the machine learning algorithms: k-nearest neighbor (k-NN), and random forest, are exploited to accurate the path loss models on the basic of the measured dataset. Meanwhile, the empirical model in the rural precision farming was considered. By using the machine learning-based algorithms, the coefficient of determination (R-squared: R<sup>2</sup>) and root mean squared error (RMSE) were evaluated as highly accuracy and precision more than the conventional PSO algorithms. According to the results, the random forest method was able to perform more than other methods. It has the smallest prediction errors.
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    Empirical Path Loss Channel Characterization Based on Air-to-Air Ground Reflection Channel Modeling for UAV-Enabled Wireless Communications
    (2021-01-01)
    Supramongkonset, Jatuporn
    ;
    Duangsuwan, Sarun
    ;
    Maw, Myo Myint
    ;
    Promwong, Sathaporn
    The purpose of this work was to investigate the air-to-air channel model (A2A-CM) for unmanned aerial vehicle- (UAV-) enabled wireless communications. Specifically, a low-altitude small UAV needs to characterize the propagation mechanisms from ground reflection. In this paper, the empirical path loss channel characterizations of A2A ground reflection CM based on different scenarios were presented by comparing the wireless communication modules for UAVs. Two types of wireless communication modules both WiFi 2.4 GHz and LoRa 868 MHz frequency were deployed to study the path loss channel characterization between Tx-UAV and Rx-UAV. To investigate the path loss, three types of experimental channel models, such as CM1 grass floor, CM2 soil floor, and CM3 rubber floor, were considered under the ground reflection condition. The analytical A2A Two-Ray (A2AT-R) model and the modified Log-Distance model were simulated to compare the correlation with the measurement data. The measurement results in the CM3 rubber floor scenario showed the impact from the ground reflection at 1 m to 3 m Rx-UAV altitudes both 2.4 GHz and 868 MHz which was converged to the A2AT-R model and related to the modified Log-Distance model above 3 m. It clear that there is no ground reflection effect from the CM1 grass floor and CM2 soil floor. This work showed that the analytical A2AT-R model and the modified Log-Distance model can deploy to model the path loss of A2A-CM by using WiFi and LoRa wireless modules.
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    Item type:Publication,
    Development of soil moisture monitoring by using IoT and UAV-SC for smart farming application
    (2020-07-01)
    Duangsuwan, Sarun
    ;
    Teekapakvisit, Chakree
    ;
    Maw, Myo Myint
    Soil moisture is a fundamental factor for smart farming that is used to control the water management system. In this paper, the unmanned aerial vehicle (UAV) small cell (UAV-SC) can provide Internet of things (IoT) as the hotspot mobility network, due to the minimum limitation energy of connected IoT. The development of ground sensor (GS) communicates to the UAV-SC called GS-UAV-SC model for soil moisture monitoring is proposed to smart farming. UAV-SC aims to fulfill the data collection task with a limitation of GSs power. In the experiment, the two case scenarios: Napier grass farm and Ruzi grass farm are implemented. The result of soil moisture status is demonstrated as an example of data in real time on a mobile application monitoring system. The proposed system is useful for users/farmers to know the soil moisture data quickly for smart farming applications.
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    Item type:Publication,
    Indoor measurement of UWB-IR propagation channel using time-gating techniques
    (2014-01-01)
    Chiochan, Poramate
    ;
    Maw, Myo Myint
    ;
    Duangsuwan, Sarun
    ;
    Promwong, Sathaporn
    In this paper investigates a multipath reduction in an IEEE 802.15.4a of the ultra wideband-impulse radio (UWB-IR) propagation channel, which is the spatial-temporal resolution of scattering objects. The existing are widely observed by time dispersion of pulse-shaped transmit signals and their distortion in complex environments. We presented a new approach on UWB-IR complex channel transfer function in an indoor measurement. The time-gating measurement method (TGMM) is approached to suppress the scatter effect of multipath rays tracing, which occurred in the indoor environment. The close-form extension of radar cross section (RCS) results for sample furniture with the vertical and horizontal polarization as depends on antenna under-test (DUT) are shown. The TGMM is very useful to serve for impact of antenna distortion in an impulse radio system by using measurement technique. © 2014 IEEE.