MPhil Thesis Defence


"Data Indexing in Heterogeneous Multiple Broadcast Channels Environment"

By

Mr. Yin-Fai Ho


Abstract

The rapid advance of wireless communication technologies and the
increasing popularity of portable devices have resulted in a rise in
demand for information by mobile users. Owing to this fact, different
channel operators have started providing services to disseminate useful
data and subscribers' advertisements to mobile users. However, most
existing indexing algorithms on multiple channels were designed for a
homogeneous environment where it is relatively difficult for mobile users
to fetch their expected data from the various data channels operated by
different entities.

In a heterogeneous multiple channel environment, locating the required
data for mobile clients is a power- and time-consuming process. In this
thesis, indexing methods are proposed in order to reduce the time and
energy used to search for data in multiple data channels. In our
environment, broadcast agents disseminate data through wireless data
broadcast services provided by different channel operators. They are
connected to a centralized index server through a wired network for
broadcasting index information on the index channel. Basically, mobile
clients read index information from the index channel and then look for
the broadcast data by tuning into the channel according to the index
information. Three indexing models are described in the thesis and
simulation results are obtained to evaluate the performance of the three
proposed methods.


Date:				Monday, 23 June 2003

Time:				10:00a.m.-12:00noon

Venue:				Room 2405
				Lifts 17-18

Committee Members:			Prof. Dik-Lun Lee (Supervisor)
				Dr. Gary Chan (Chairman)
				Dr. Qiong Luo


**** ALL are Welcome ****