Indoor Localization Schemes for Mobile Robots

A Master of Science Thesis in Mechatronics submitted by Islam Mohammad -Amin Al-Jarrah entitled, "Indoor Localization Schemes for Mobile Robots," submitted in November 2010. Available are both soft and hard copies of the thesis.

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Main Author: Al-Jarrah, Islam Mohammad-Amin (author)
Format: doctoralThesis
Published: 2010
Subjects:
Online Access:http://hdl.handle.net/11073/2724
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author Al-Jarrah, Islam Mohammad-Amin
author_facet Al-Jarrah, Islam Mohammad-Amin
author_role author
dc.contributor.none.fl_str_mv El-Tarhuni, Mohamed
dc.creator.none.fl_str_mv Al-Jarrah, Islam Mohammad-Amin
dc.date.none.fl_str_mv 2010-11
2011-09-18T07:51:02Z
2011-09-18T07:51:02Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv 35.232-2010.10
http://hdl.handle.net/11073/2724
dc.language.none.fl_str_mv en_US
dc.subject.none.fl_str_mv mechatronics
robots
mobile
Mobile robots
Research
Mobile communication systems
Wireless communication systems
dc.title.none.fl_str_mv Indoor Localization Schemes for Mobile Robots
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/doctoralThesis
description A Master of Science Thesis in Mechatronics submitted by Islam Mohammad -Amin Al-Jarrah entitled, "Indoor Localization Schemes for Mobile Robots," submitted in November 2010. Available are both soft and hard copies of the thesis.
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identifier_str_mv 35.232-2010.10
language_invalid_str_mv en_US
network_acronym_str aus
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oai_identifier_str oai:repository.aus.edu:11073/2724
publishDate 2010
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spelling Indoor Localization Schemes for Mobile RobotsAl-Jarrah, Islam Mohammad-AminmechatronicsrobotsmobileMobile robotsResearchMobile communication systemsWireless communication systemsA Master of Science Thesis in Mechatronics submitted by Islam Mohammad -Amin Al-Jarrah entitled, "Indoor Localization Schemes for Mobile Robots," submitted in November 2010. Available are both soft and hard copies of the thesis.Mobile robots have taken a major role in indoor environments where they are used to accomplish high risk tasks instead of human beings, for example in war circumstances, dangerous chemical interactions, etc. Localization of a mobile robot is the problem of determining the location of the robot as it navigates within an environment. Localization of mobile robots outdoors is mainly done based on GPS (Global Positioning System). GPS consists of several satellites orbiting the earth and broadcast data to indicate location and current time. The distance is determined by the time for the signals to reach the receiver from at least four satellites. The GPS system works well for outdoor terminals but cannot be used indoors because it needs a line-of sight between the satellites and the receiver. Other localization techniques based on sensors like sonar, infrared, cameras, etc. are used for indoor localization, but these sensors need intensive processing to get accurate readings, in addition to other limitations such as sonar's beams collision, cost, cameras resolution and image processing time delays. In this research, a different technique based on Wireless Sensor Networks (WSN) has been investigated for mobile robot localization. In particular, we investigate four scenarios for the target localization which are localization using static motes only, dynamic motes only, cooperative hybrid model and hybrid model. The proposed system utilizes a combination of static and mobile sensor nodes to collaborate in localizing and capturing a target using wireless transmission. Static nodes guide mobile nodes into localizing the target using some of the special characteristics of the target like signal strength, frequency, sound, temperature, etc. Each mobile node will gather information about the target and execute an algorithm to set its trajectory towards the target. Each mobile node will share its knowledge with others to improve their localization decision. The implemented system has several features. First, it achieves good accuracy because of the involvement of many nodes in the estimation process and the communication between mobile and static motes to localize the target. Second, it is robust to node failure since if one of the nodes is not working the rest of motes can collaborate to compensate for the missing data and localize the target accurately. Simulation results of localization based on static, dynamic, hybrid, and co-hybrid models are presented in this report. Comparison of the results of the various simulated models is based on Mean Square Error MSE of the localization and received Signal-to-Noise ratio (SNR). It is shown that localization using static motes outperformed other models. Using the same criteria, the Hybrid & Co Hybrid localization models were next in performance. Target localization based on dynamic motes gave the worst performance. The effect of wireless channel shadowing on the performance of the proposed schemes is also presented.College of EngineeringMultidisciplinary ProgramsMaster of Science in Mechatronics Engineering (MSMTR)El-Tarhuni, Mohamed2011-09-18T07:51:02Z2011-09-18T07:51:02Z2010-11info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesisapplication/pdf35.232-2010.10http://hdl.handle.net/11073/2724en_USoai:repository.aus.edu:11073/27242025-06-26T12:33:21Z
spellingShingle Indoor Localization Schemes for Mobile Robots
Al-Jarrah, Islam Mohammad-Amin
mechatronics
robots
mobile
Mobile robots
Research
Mobile communication systems
Wireless communication systems
status_str publishedVersion
title Indoor Localization Schemes for Mobile Robots
title_full Indoor Localization Schemes for Mobile Robots
title_fullStr Indoor Localization Schemes for Mobile Robots
title_full_unstemmed Indoor Localization Schemes for Mobile Robots
title_short Indoor Localization Schemes for Mobile Robots
title_sort Indoor Localization Schemes for Mobile Robots
topic mechatronics
robots
mobile
Mobile robots
Research
Mobile communication systems
Wireless communication systems
url http://hdl.handle.net/11073/2724