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DOI: 10.14569/IJARAI.2014.030305
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A Study of Routing Path Decision Method Using Mobile Robot Based on Distance Between Sensor Nodes

Author 1: Yuta Koike
Author 2: Kei Sawai
Author 3: Tsuyoshi Suzuki

International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 3 Issue 3, 2014.

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Abstract: We propose Robot Wireless Sensor Networks (RWSNs) management method for maintaining wireless communication connectivity for a mobile robot teleoperation with considering a distance between sensor nodes. Recent studies for reducing disaster damage focus on a disaster area information gathering in underground spaces. Since information gathering activities in such post disaster underground spaces present a high risk of personal injury by secondary disasters, a lot of rescue workers were injured or killed in the past. On basis of this background, gathering information by utilizing the mobile robot is discussed in wide area. However, maintaining wireless communication infrastructures for teleoperation of a mobile rescue robot in the post-disaster underground space by various reasons. Therefore we have been discussing the wireless communication infrastructures construction method for teleoperation of the rescue robot by utilizing the RWSN. In this paper, we evaluated the proposed method for changing routing path by utilizing the RWSN in field operation test in order to confirm the availability of performance of communication connectivity and the throughputs between End-to-End communications via constructed network.

Keywords: Wireless Sensor Networks; Moblie Robot Tele-Operation; Maintaining Throughput; Routing Path

Yuta Koike, Kei Sawai and Tsuyoshi Suzuki, “A Study of Routing Path Decision Method Using Mobile Robot Based on Distance Between Sensor Nodes” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 3(3), 2014. http://dx.doi.org/10.14569/IJARAI.2014.030305

@article{Koike2014,
title = {A Study of Routing Path Decision Method Using Mobile Robot Based on Distance Between Sensor Nodes},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2014.030305},
url = {http://dx.doi.org/10.14569/IJARAI.2014.030305},
year = {2014},
publisher = {The Science and Information Organization},
volume = {3},
number = {3},
author = {Yuta Koike and Kei Sawai and Tsuyoshi Suzuki}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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