The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
pandangan teks lengkap
131
Mesin mobiliti autonomi, seperti kereta pandu sendiri, robot pengangkutan dan mesin pembinaan automatik, menjanjikan untuk menyokong atau memperkayakan kehidupan manusia. Untuk menambah baik mesin sedemikian, ia akan disambungkan ke rangkaian melalui pautan wayarles untuk diurus, dipantau atau dikendalikan dari jauh. Mesin mobiliti autonomi mesti mempunyai status diri berdasarkan sistem kedudukannya untuk menjalankan operasinya dengan selamat tanpa berlanggar dengan objek lain. Status kendiri bukan sahaja penting untuk pengendalian mesin tetapi ia juga bernilai untuk pengurusan kualiti pautan wayarles. Kertas kerja ini membentangkan ramalan kualiti pautan wayarles berasaskan status kendiri dan menilai prestasinya dengan menggunakan robot mobiliti prototaip yang digabungkan dengan sistem LAN wayarles. Robot yang dibangunkan mempunyai fungsi untuk mengukur daya tampung dan menerima petunjuk kekuatan isyarat dan mendapatkan butiran status diri seperti lokasi, arah, dan data odometri. Prestasi ramalan dinilai dalam pemprosesan luar talian dengan menggunakan set data yang dikumpulkan dalam percubaan dalaman. Eksperimen menjelaskan bahawa, dalam jalur 5.6 GHz, ramalan kualiti pautan menggunakan status kendiri robot meramalkan daya pemprosesan beberapa saat ke masa hadapan, dan ketepatan ramalan telah disiasat sebagai bergantung pada saiz tetingkap masa pemprosesan sasaran, lebar jalur dan jurang kekerapan.
Riichi KUDO
NTT Corporation
Matthew COCHRANE
NTT Corporation
Kahoko TAKAHASHI
NTT Corporation
Takeru INOUE
NTT Corporation
Kohei MIZUNO
NTT Corporation
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Salinan
Riichi KUDO, Matthew COCHRANE, Kahoko TAKAHASHI, Takeru INOUE, Kohei MIZUNO, "Experimental Validation of Link Quality Prediction Using Exact Self-Status of Mobility Robots in Wireless LAN Systems" in IEICE TRANSACTIONS on Communications,
vol. E103-B, no. 12, pp. 1385-1393, December 2020, doi: 10.1587/transcom.2020SEP0005.
Abstract: Autonomous mobility machines, such as self-driving cars, transportation robots, and automated construction machines, are promising to support or enrich human lives. To further improve such machines, they will be connected to the network via wireless links to be managed, monitored, or remotely operated. The autonomous mobility machines must have self-status based on their positioning system to safely conduct their operations without colliding with other objects. The self-status is not only essential for machine operation but also it is valuable for wireless link quality management. This paper presents self-status-based wireless link quality prediction and evaluates its performance by using a prototype mobility robot combined with a wireless LAN system. The developed robot has functions to measure the throughput and receive signal strength indication and obtain self-status details such as location, direction, and odometry data. Prediction performance is evaluated in offline processing by using the dataset gathered in an indoor experiment. The experiments clarified that, in the 5.6 GHz band, link quality prediction using self-status of the robot forecasted the throughput several seconds into the future, and the prediction accuracies were investigated as dependent on time window size of the target throughput, bandwidth, and frequency gap.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2020SEP0005/_p
Salinan
@ARTICLE{e103-b_12_1385,
author={Riichi KUDO, Matthew COCHRANE, Kahoko TAKAHASHI, Takeru INOUE, Kohei MIZUNO, },
journal={IEICE TRANSACTIONS on Communications},
title={Experimental Validation of Link Quality Prediction Using Exact Self-Status of Mobility Robots in Wireless LAN Systems},
year={2020},
volume={E103-B},
number={12},
pages={1385-1393},
abstract={Autonomous mobility machines, such as self-driving cars, transportation robots, and automated construction machines, are promising to support or enrich human lives. To further improve such machines, they will be connected to the network via wireless links to be managed, monitored, or remotely operated. The autonomous mobility machines must have self-status based on their positioning system to safely conduct their operations without colliding with other objects. The self-status is not only essential for machine operation but also it is valuable for wireless link quality management. This paper presents self-status-based wireless link quality prediction and evaluates its performance by using a prototype mobility robot combined with a wireless LAN system. The developed robot has functions to measure the throughput and receive signal strength indication and obtain self-status details such as location, direction, and odometry data. Prediction performance is evaluated in offline processing by using the dataset gathered in an indoor experiment. The experiments clarified that, in the 5.6 GHz band, link quality prediction using self-status of the robot forecasted the throughput several seconds into the future, and the prediction accuracies were investigated as dependent on time window size of the target throughput, bandwidth, and frequency gap.},
keywords={},
doi={10.1587/transcom.2020SEP0005},
ISSN={1745-1345},
month={December},}
Salinan
TY - JOUR
TI - Experimental Validation of Link Quality Prediction Using Exact Self-Status of Mobility Robots in Wireless LAN Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 1385
EP - 1393
AU - Riichi KUDO
AU - Matthew COCHRANE
AU - Kahoko TAKAHASHI
AU - Takeru INOUE
AU - Kohei MIZUNO
PY - 2020
DO - 10.1587/transcom.2020SEP0005
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E103-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2020
AB - Autonomous mobility machines, such as self-driving cars, transportation robots, and automated construction machines, are promising to support or enrich human lives. To further improve such machines, they will be connected to the network via wireless links to be managed, monitored, or remotely operated. The autonomous mobility machines must have self-status based on their positioning system to safely conduct their operations without colliding with other objects. The self-status is not only essential for machine operation but also it is valuable for wireless link quality management. This paper presents self-status-based wireless link quality prediction and evaluates its performance by using a prototype mobility robot combined with a wireless LAN system. The developed robot has functions to measure the throughput and receive signal strength indication and obtain self-status details such as location, direction, and odometry data. Prediction performance is evaluated in offline processing by using the dataset gathered in an indoor experiment. The experiments clarified that, in the 5.6 GHz band, link quality prediction using self-status of the robot forecasted the throughput several seconds into the future, and the prediction accuracies were investigated as dependent on time window size of the target throughput, bandwidth, and frequency gap.
ER -