MPhil Thesis Defence


"Stimulus-based Adaptive Sleeping for Wireless Sensor Networks"

By

Mr. Hoi Lun Ngan


Abstract

Wireless Sensor Networks (WSNs) have provided a new model for building
intelligent applications with better computer-human/environment
interaction. WSNs are built using massive tiny and resources-constrained
sensor nodes. With the limited power supply for the sensor nodes, energy
consumption is one of the major concerns of the usefulness of the
application. It is widely accepted that sleeping is the most effective way
to reduce the energy consumption and thus prolong the network lifetime.
Many sleeping algorithms have been proposed which aim to identify the
redundant sensor nodes and turn them into the sleeping mode.

In diffusion stimulus (DS) monitoring, the application will result in
degraded performance when traditional sleeping algorithms are in use. It
is due to the fact that detection delay is as important as energy
consumption.

We propose our Stimulus-based Adaptive Sleeping (SAS) which incorporate
these application-specific requirements into the sleeping algorithm. This
decentralized design provides a balanced performance on both the energy
consumption and detection delay with the understanding and utilization of
the DS behaviors.


Date:				Friday, 26 August 2005

Time:				10:30a.m.-12:30p.m.

Venue:				Room 2405
				Lifts 17-18

Committee Members:		Prof. Lionel Ni (Supervisor)
				Dr. Gary Chan (Chairperson)
                        	Dr. Yunhao Liu


**** ALL are Welcome ****