WinyDB: Collaboratively Querying Sensor Networks through Handheld Devices

MPhil Thesis Defence


Title: "WinyDB: Collaboratively Querying Sensor Networks through Handheld
Devices"

By

Mr. Tsz-Wai Chiu


Abstract

The emergence of wireless sensor networks (WSNs) has enabled a wide
variety of applications, such as environmental monitoring, assisted
living, and industrial control. In the meanwhile, handheld devices,
especially PDAs (Personal Digital Assistants), are becoming more and more
powerful and popular.  Therefore, we envision that in some applications,
handheld devices will be commonly used to query deployed WSNs. However,
there has been little work on developing a lightweight query processor for
PDAs to query sensor networks.  To address this problem, we propose
WinyDB, a relational query processing system on Windows-CE based PDAs for
sensor networks.

One of the main features of WinyDB is that multiple PDAs running WinyDB
can answer queries collaboratively. This collaborative query processing
feature is useful in that it improves both the power efficiency and the
data quality. We have proposed collaborative query processing techniques
to handle selection, projection, aggregation, and window join queries.
Furthermore, we have implemented the entire WinyDB system on Windows-CE
based PDAs.  Our experiments with the system running on multiple PDAs
querying simulated sensor networks have shown promising results on
collaborative query processing.


Date:				Friday, 29 August 2008

Time:				3:00p.m.-5:00p.m.

Venue:				Room 3304
				Lifts 17-18

Committee Members:		Dr. Qiong Luo (Supervisor)
				Prof. Lionel Ni (Chairperson)
				Dr. Gary Chan


**** ALL are Welcome ****