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MEASUREMENT AND ANALYSIS ON ROUTING PERFORMANCE IN LARGE-SCALE WIRELESS SENSOR NETWORKS
The Hong Kong University of Science and Technology
Department of Computer Science and Engineering
PhD Thesis Defence
Title: "MEASUREMENT AND ANALYSIS ON ROUTING PERFORMANCE IN
LARGE-SCALE WIRELESS SENSOR NETWORKS"
By
Mr. Tong ZHU
Abstract
Wireless sensor networks (WSNs) are developed in an accelerated pace during the
last few years. A lot of projects have been launched for various applications,
however, none of those projects realize long-term operations and large-scale
deployments. Motivated by the need of revealing the difficulties of large-scale
long-term WSNs, we launched two long-term large-scale WSNs: "GreenOrbs" in 2009
and "CitySee" in 2011, which work for closely monitoring the forest and urban
environments and accurately measuring carbon sequestration and emission,
respectively. Through long-term measurements and statistical analysis we have a
deep understanding on data collection behaviors of large-scale WSNS, especially
for routing performance. This thesis mainly answers questions which cover root
causes and impact of network behaviors on routing performances, e.g., What
causes routing dynamics? What is the impact of routing dynamics? When, where,
and under what kind of circumstances packet losses occur? Why packets are lost?
It also shows findings and insights on routing dynamics and packet delivery
performances and presents a novel prediction method for traffic modeling and
energy saving. We evaluate the performances of proposed methods by experiments
with extensive data-trace and verifications in real deployed systems. The
results show that our findings are insightful and the proposed method has been
applied in our system.
Date: Friday, 9 August 2013
Time: 10:00am - 12:00noon
Venue: Room 3501
Lifts 25/26
Chairman: Prof. Guochang Zhang (ACCT)
Committee Members: Prof. Yunhao Liu (Supervisor)
Prof. Lei Chen
Prof. Raymond Wong
Prof. Ke Yi
Prof. Susheng Wang (ECON)
Prof. Jianping Wang (Comp. Sci., CityU)
**** ALL are Welcome ****