Comparative Study of RSS-Based Collaborative Localization Methods in Wireless Sensor Networks

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In this thesis two collaborative localization techniques are studied: multidimensional scaling (MDS) and maximum likelihood estimator (MLE). A synthesis of a new location estimation method through a serial integration of these two techniques, such that an estimate is first obtained using MDS and then MLE is employed to fine-tune the MDS solution, was the subject of this research using various simulation and experimental studies. In the simulations, important issues including the effects of sensor node density, reference node density and different deployment strategies of reference nodes were addressed. In the experimental study, the path loss model of indoor environments is ... continued below

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Koneru, Avanthi December 2006.

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This thesis is part of the collection entitled: UNT Theses and Dissertations and was provided by UNT Libraries to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 349 times , with 4 in the last month . More information about this thesis can be viewed below.

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  • Koneru, Avanthi

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Description

In this thesis two collaborative localization techniques are studied: multidimensional scaling (MDS) and maximum likelihood estimator (MLE). A synthesis of a new location estimation method through a serial integration of these two techniques, such that an estimate is first obtained using MDS and then MLE is employed to fine-tune the MDS solution, was the subject of this research using various simulation and experimental studies. In the simulations, important issues including the effects of sensor node density, reference node density and different deployment strategies of reference nodes were addressed. In the experimental study, the path loss model of indoor environments is developed by determining the environment-specific parameters from the experimental measurement data. Then, the empirical path loss model is employed in the analysis and simulation study of the performance of collaborative localization techniques.

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  • December 2006

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  • May 5, 2008, 3:04 p.m.

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  • Jan. 15, 2014, 1:58 p.m.

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Koneru, Avanthi. Comparative Study of RSS-Based Collaborative Localization Methods in Wireless Sensor Networks, thesis, December 2006; Denton, Texas. (digital.library.unt.edu/ark:/67531/metadc5452/: accessed February 25, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; .