Diagnosis in Large-scale Wireless Sensor Networks

The Hong Kong University of Science and Technology
Department of Computer Science and Engineering


PhD Thesis Defence


Title: "Diagnosis in Large-scale Wireless Sensor Networks"

By

Miss Xiaoxu LI


Abstract

A large-scale sensor network typically consists of numerous low-cost and 
resources constrained sensor nodes working in a self-organizing manner. 
Being embedded in the physical world, wireless sensor networks (WSNs) 
present a wide range of failures, due to environment conditions, hardware 
limitations and software uncertainties, and so on. Once deployed, the 
interactivity of a WSN greatly decreases, and network managers must 
investigate network behaviors with limited visibility into applications. 
Based on a real world environment monitoring sensor network system 
CitySee, this thesis addresses three key aspects for network parameters 
management in wireless sensor networks, i.e., injecting performance 
related time-varying metrics into each sensor node, and collecting these 
metrics to enhance network visibility, providing more practical and 
efficient diagnosis models in wireless sensor networks. Through intensive 
simulations and real world implementations, I evaluate the performance of 
the proposed methods in a real system and verify the applicability.


Date:			Monday, 15 December 2014

Time:			4:00pm - 6:00pm

Venue:			Room 5565
 			Lifts 27/28

Chairman:		Prof. Eric Nelson (HUMA)

Committee Members:	Prof. Lionel Ni (Supervisor)
 			Prof. Qiong Luo
 			Prof. Ke Yi
 			Prof. Zongjin Li (CIVL)
                        Prof. Jiannong Cao (Computing, PolyU)


**** ALL are Welcome ****