
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: