MASTER OF SCIENCE PROJECT DEFENSE BY: Harika Vankayalapati
When: Wednesday,
November 25, 2015
10:00 AM
-
12:00 PM
Cost: free
Description: TOPIC: CORRELATED PROBABILISTIC COMPETING FAILURE ANALYSIS USING MONTE CARLO SIMULATION
LOCATION: Charlton College of Business Conference Room, CCB 115
ABSTRACT:
This project considers reliability analysis of a relay-assisted wireless body area network (WBAN) subject to correlated, probabilistic competing failure behaviour. In particular, there exist competitions between failures of different WBAN components; different failure occurrence sequences can lead to dramatically different network statuses. Monte Carlo simulations are implemented in the Java environment to estimate the reliability of an example WBAN system subject to multiple correlated competing failure groups. Different component failure types and different time-to-failure distributions are considered. Results from this work can provide insights into the failure behavior and reliable operation of relay-assisted WBAN systems.
NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.
Advisor: Dr. Liudong Xing
Committee Members: Dr. Honggang Wang, Department of Electrical & Computer Engineering and Dr. Xiaoqin Shelley Zhang, Department of Computer and Information Science
*For further information, please contact Dr. Liudong Xing at 508.999.8883, or by via email at lxing@umassd.edu.
LOCATION: Charlton College of Business Conference Room, CCB 115
ABSTRACT:
This project considers reliability analysis of a relay-assisted wireless body area network (WBAN) subject to correlated, probabilistic competing failure behaviour. In particular, there exist competitions between failures of different WBAN components; different failure occurrence sequences can lead to dramatically different network statuses. Monte Carlo simulations are implemented in the Java environment to estimate the reliability of an example WBAN system subject to multiple correlated competing failure groups. Different component failure types and different time-to-failure distributions are considered. Results from this work can provide insights into the failure behavior and reliable operation of relay-assisted WBAN systems.
NOTE: All ECE Graduate Students are ENCOURAGED to attend.
All interested parties are invited to attend. Open to the public.
Advisor: Dr. Liudong Xing
Committee Members: Dr. Honggang Wang, Department of Electrical & Computer Engineering and Dr. Xiaoqin Shelley Zhang, Department of Computer and Information Science
*For further information, please contact Dr. Liudong Xing at 508.999.8883, or by via email at lxing@umassd.edu.
Contact:
ECE: Electrical & Computer Engineering Department 508.999.9164 http://www.umassd.edu/engineering/ece/
Topical Areas: General Public, University Community, Electrical and Computer Engineering