A modified particle filter algorithm and its implementation on a wireless ZigBee network based navigation system
2018
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Advisor: Prof. Dr. Ergun Erçelebi
Abstract (EN)
In this study, we developed and produced a portable device based on Zigbee network. This device operates like a navigation device in Gaziantep University campus and is also kiosk-like one which provides particular information about the departments of the Gaziantep University. To be able to find the exact location of the portable device, we upgraded the particle filter (PF) to the modified particle filter (MPF), applied it to the ZigBee network and compared the results obtained with that of PF, Kalman Filter (KF) and Extended Kalman Filter (EKF). We saw that our modified particle filter mechanism gives remarkably better results compared to other ones. Furthermore, we developed an additional security precaution against Denial-of-Service attacks by applying MAC address and trusted node filtering on the MAC layer of our network. Even though the security of our network is implemented by AES mechanism, our network became more resistant against Denial of Service (DoS) attacks
Author
Dr. Mahmut Aykaç
Institution
How to Cite
Mahmut Aykaç (Doctorate thesis). A modified particle filter algorithm and its implementation on a wireless ZigBee network based navigation system, 2018, Gaziantep University.
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