Towards Efficient Management of Wireless Sensor Networks

PhD Thesis Proposal Defence


Title: "Towards Efficient Management of Wireless Sensor Networks"

by

Mr. Xin MIAO


ABSTRACT:

Motivated by the needs of precise carbon emission measurement and real-time 
surveillance for CO2 management in forests and cities, we present CitySee, a 
real-time CO2-monitoring system using sensor networks for an urban area (around 
100 square kilometers). In order to conduct environment monitoring in a 
real-time and long-term manner, CitySee has to address management issues such 
as sensor deployment and data processing. In this proposal, we aim at studying 
several fundamental challenges in managing large-scale sensor networks, 
including sensor deployment, node diagnosis and network management.

We first investigate the sensor deployment problem. In CitySee, it can be 
abstracted as a relay node placement problem under hole-constraint. By 
carefully taking all constraints and real deployment situations into account, 
we propose an efficient approach which uses additional relay nodes at most 
twice of the minimum. We then study the node diagnosis problem and propose a 
novel approach AD which performs diagnosis in an agnostic manner. Specifically, 
AD does not require network operators to predefine the types and symptoms of 
possible faults. Instead, it explores the correlation patterns of system 
metrics and discover potential faults by tracking changes and anomalies of 
correlation patterns. We further study management center placement schemes to 
improve the performance of online network management services based on the 
quality of interactive communications. We define the reachability from a 
management center to a sensor node using Expected Transmission Ratio (ETR) and 
then design optimal and heuristic algorithms in which multiple management 
centers work in a cooperative manner to cover as many sensor nodes as possible.


Date:                   Wednesday, 23 January 2013

Time:                   10:00am - 12:00noon

Venue:                  Room 3501
                         lifts 25/26

Committee Members:      Dr. Yunhao Liu (Supervisor)
 			Prof. Dimitris Papadias (Supervisor)
                         Dr. Kai Chen (Chairperson)
 			Dr. Lin Gu


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