Data Aggregation Algorithms in Sensor Networks

PhD Qualifying Examination


Title: "Data Aggregation Algorithms in Sensor Networks"

by

Lu WANG


Abstract:

Sensor networks are large ad-hoc networks of interconnected, battery
powered, wireless sensors. They are now being widely deployed to
monitor diverse physical variables, such as temperature, sound,
activities of wild life and so forth. However, power consumption
remains the biggest obstacle for large-scale deployment for sensor
networks. Since wireless transmission of data is the biggest cause of
battery drain, data aggregation techniques that prevent the nodes from
forwarding all the data to the base station are very useful for energy
conservation in sensor networks.  Generally speaking, data aggregation
is the process of gathering data within the entire network, processing
data at intermediate nodes so as to minimize communication costs, and
producing aggregated results at the the base station. It is one of the
most important and fundamental problems in sensor networks. In this
survey, we will cover the classical network models and their
corresponding data aggregation algorithms, and then discuss some
future directions.


Date:                   Tuesday, 15 February 2011

Time:                   5:30pm - 7:30pm

Venue:                  Room 3501
                        lifts 25/26

Committee Members:	Dr. Ke Yi (Supervisor)
                        Dr. Yunhao Liu (Chairperson)
 			Dr. Lei Chen
 			Dr. Raymond Wong


**** ALL are Welcome ****