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Wi-Fi 802.11 based mobile robotics p...
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The University of North Carolina at Greensboro.
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Wi-Fi 802.11 based mobile robotics positioning system.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Wi-Fi 802.11 based mobile robotics positioning system./
Author:
Misior, Robert.
Description:
55 p.
Notes:
Adviser: Shan Suthaharan.
Contained By:
Masters Abstracts International45-05.
Subject:
Computer Science. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1443232
Wi-Fi 802.11 based mobile robotics positioning system.
Misior, Robert.
Wi-Fi 802.11 based mobile robotics positioning system.
- 55 p.
Adviser: Shan Suthaharan.
Thesis (M.S.)--The University of North Carolina at Greensboro, 2007.
This thesis provides a method for finding a location of a mobile robot based on the signal strengths obtained from the IEEE 802.11 standard wireless Access Points. In this method a set of eight signal loss functions is proposed to enable the robot to determine its current distance and direction using its known location of the Access Points. Recently a series of techniques have been proposed to address this problem, however they require a significantly larger number of data signals to determine the robot's current location. The experimental results show that the proposed approach provides better or equal accuracy of location to the existing approaches with an added advantage of the reduced computational complexity. Another advantage is that this positioning system can also be applied to the standard mobile clients using the wireless network.Subjects--Topical Terms:
626642
Computer Science.
Wi-Fi 802.11 based mobile robotics positioning system.
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Adviser: Shan Suthaharan.
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Source: Masters Abstracts International, Volume: 45-05, page: 2527.
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Thesis (M.S.)--The University of North Carolina at Greensboro, 2007.
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This thesis provides a method for finding a location of a mobile robot based on the signal strengths obtained from the IEEE 802.11 standard wireless Access Points. In this method a set of eight signal loss functions is proposed to enable the robot to determine its current distance and direction using its known location of the Access Points. Recently a series of techniques have been proposed to address this problem, however they require a significantly larger number of data signals to determine the robot's current location. The experimental results show that the proposed approach provides better or equal accuracy of location to the existing approaches with an added advantage of the reduced computational complexity. Another advantage is that this positioning system can also be applied to the standard mobile clients using the wireless network.
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School code: 0154.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1443232
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