ECE Doctor of Philosophy Dissertation Defense By: MD Nashid Anjum
When: Wednesday,
April 17, 2019
11:00 AM
-
1:00 PM
Where: Textiles Building 101E
Cost: Free
Description: TOPIC: MOBILITY MODELING AND ANALYSIS OF AIRBORNE NETWORKS
LOCATION: College of Engineering Conference Room, Textiles Building (TXT), Room 101E
ABSTRACT:
The recent advancements in wireless technology has identified the Wireless Airborne Network (AN) as a rapid and lucrative solution in order to provide network facilities in the deprived and challenging areas. The network architecture of the AN can be intricate, thus it is challenging to develop a comprehensive mobility model for ANs. In literature, a few attempts have been made to model the mobility of the airborne networks (AN). However, existing models are mostly application specific and oversimplify the system dynamics.
This research proposes a comprehensive mobility model for the airborne networks where the mobility of the airborne node is presented as a Gauss-Markov process comprising of three key parameters - the speed, angular velocity, and pitch angle. The consideration of the Gauss-Markov process and angular velocity enables the model to address the mobility more realistically and thus, makes it capable of generating apparently all possible types of trajectories.
Additionally, this model designs more realistic boundary effects to be practical. This research also presents the stochastic analysis of the proposed model. Finally, by analyzing the extensive simulation results and real-world data, it has been affirmed that the proposed mobility model can be used as a fundamental template to model and analyze a wide range of practical airborne networks regardless of the application including both homogeneous and heterogeneous networks. Additionally, in this research, I have analyzed the connectivity and coverage of ANs using the percolation theory considering both homogenous and heterogenous wireless nodes. I have also derived the critical lower bound and critical upper bound of the node density of connectivity. The findings of this research could be crucial in order to analyze and estimate the essential network properties of an AN.
NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.
Advisor: Dr. Honggang Wang
Committee Members: Dr. Hong Liu and Dr. Liudong Xing, Department of Electrical & Computer Engineering, UMass Dartmouth; Dr. Hua Fang, Department of Computer and Information Science, UMass Dartmouth, Dr. Chonggang Wang, Interdigital Communications
LOCATION: College of Engineering Conference Room, Textiles Building (TXT), Room 101E
ABSTRACT:
The recent advancements in wireless technology has identified the Wireless Airborne Network (AN) as a rapid and lucrative solution in order to provide network facilities in the deprived and challenging areas. The network architecture of the AN can be intricate, thus it is challenging to develop a comprehensive mobility model for ANs. In literature, a few attempts have been made to model the mobility of the airborne networks (AN). However, existing models are mostly application specific and oversimplify the system dynamics.
This research proposes a comprehensive mobility model for the airborne networks where the mobility of the airborne node is presented as a Gauss-Markov process comprising of three key parameters - the speed, angular velocity, and pitch angle. The consideration of the Gauss-Markov process and angular velocity enables the model to address the mobility more realistically and thus, makes it capable of generating apparently all possible types of trajectories.
Additionally, this model designs more realistic boundary effects to be practical. This research also presents the stochastic analysis of the proposed model. Finally, by analyzing the extensive simulation results and real-world data, it has been affirmed that the proposed mobility model can be used as a fundamental template to model and analyze a wide range of practical airborne networks regardless of the application including both homogeneous and heterogeneous networks. Additionally, in this research, I have analyzed the connectivity and coverage of ANs using the percolation theory considering both homogenous and heterogenous wireless nodes. I have also derived the critical lower bound and critical upper bound of the node density of connectivity. The findings of this research could be crucial in order to analyze and estimate the essential network properties of an AN.
NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.
Advisor: Dr. Honggang Wang
Committee Members: Dr. Hong Liu and Dr. Liudong Xing, Department of Electrical & Computer Engineering, UMass Dartmouth; Dr. Hua Fang, Department of Computer and Information Science, UMass Dartmouth, Dr. Chonggang Wang, Interdigital Communications
Contact:
ECE: Electrical & Computer Engineering Department 508.999.9164 http://www.umassd.edu/engineering/ece/
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