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Thesis: Applying image processing techniques to simulate a self organized sensor network for tracking objects

Advisor: Dr. T. Andrew Yang

Committee members: Dr. Liwen Shih, Dr. George Collins

Abstract: This thesis aims to simulate a distributed sensor network for tracking objects, and to evaluate the performance and security of tracking algorithms in the implemented simulation. A distributed sensor network is composed of computer nodes that communicate wirelessly between each other, and with the base station. Based on the node positions, the base generates a geographic image about the network, and uses the network image to organize the network for the purpose of tracking objects entering the covered area of the sensor network. Existing self-organization algorithms for sensor networks tend to be inaccurate, and, in order to improve accuracy, may consume lots of energy, which is typically not affordable in wireless sensor nodes. I propose the development of new tracking methods, by applying techniques of image processing, such as border detection and skeletonization, to improve the accuracy of tracking objects in a sensor network. The proposed method, and some of the existing methods, will be evaluated in the simulated sensor network. Both performance and security issues will be investigated.

Thesis proposal: Download

Weekly reports:

2/15/2003 2/22/2005 3/1/2005 3/8/2005 3/15/2005 3/22/2005 3/29/2005 4/5/2005 4/12/2005
4/19/2005 Final Exam Final Exam Break Break 5/25/2005 6/1/2005 6/8/2005 6/16/2005
6/23/2005 6/30/2005 7/1/2005 7/8/2005 7/14/2005 7/21/2005 7/28/2005 8/4/2005 8/11/2005
8/18/2005 8/25/2005 8/31/2005 10/5/2005 10/12/2005 10/19/2005 10/26/2005 11/2/2005 11/16/2005

Thesis final document: Download

Thesis defense ppt: Download

Thesis source code: Download

References:


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