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Building Sensor Network Surveillance Systems: On the Applicability
The Hong Kong University of Science and Technology
Department of Computer Science and Engineering
PhD Thesis Defence
Title: "Building Sensor Network Surveillance Systems: On the Applicability"
By
Mr. Mo Li
Abstract
A Wireless Sensor Network (WSN) is a self-organized wireless network composed
of a large number of sensor nodes deployed in the physical world. The
ubiquitous deployment of a huge number of tiny embedded sensors enables a
smarter space that better serves people by automatically monitoring and
interacting with the physical world. To enable the pervasive usage of WSN
systems in practice, an essential issue is to improve the applicability of such
distributed, large-scale, remotely working and usually resource constraint
systems. Indeed, the sensor network system is highly application driven and its
applicability is closely related to the application environment. This
dissertation research focuses on developing techniques that makes the sensor
network systems more applicable in practical applications. We have been working
on a real world project of deploying a sensor network system for underground
coal mine surveillance. Throughout the real world project, we address several
key problems that emerge from the practice and limit the system applicability,
including constructing a structure-aware self-adaptive sensor network framework
against the dynamic geological structures in the underground coal mine,
designing customized localization and navigation approaches for the WSN
systems, introducing a non-threshold based event detection approach that is
capable of detecting sophisticated events, and etc. We develop theoretical
principles and design practical protocols for implementing our ideas. Through
intensive trace-driven simulations and real-world implementations, we evaluate
these approaches and the results validate their effectiveness and efficiency.
The proposed approaches can be further replanted to other application areas,
and we believe widely employing the proposed techniques will significantly
improve the applicability of sensor network systems in their practical usage.
Date: Wednesday, 7 October 2009
Time: 10:00am – 12:00noon
Venue: Room 4480
Lifts 25-26
Chairman: Prof. David Hui (CBME)
Committee Members: Prof. Yunhao Liu (Supervisor)
Prof. Lin Gu
Prof. Lionel Ni
Prof. Susheng Wang (ECON)
Prof. Jiannong Cao (Computing, PolyU)
**** ALL are Welcome ****
