Thesis Topic Details

Topic ID:
3440
Title:
Design and Implementation of Lifetime Aware Clustering and Data Collection Algorithms for Wireless Sensor Networks with Multiple Base Stations
Supervisor:
Hui Wu
Research Area:
Wireless sensor networks
Associated Staff
Assessor:
Chun Tung Chou
Topic Details
Status:
Active
Type:
R & D
Programs:
CS CE SE
Group Suitable:
Yes
Industrial:
No
Pre-requisites:
Strong algorithm background
Description:
A wireless sensor networks (WSN) consists of a set of sensor nodes that communicate with each other via radio signals. All the sensor nodes work cooperatively to monitor physical or environmental conditions, such as
temperature, sound, pressure and motion. The applications of WSNs range from environmental monitoring to agriculture.

In wireless sensor networks, sensor nodes are battery powered. Multiple base stations can be deployed to increase the lifetime of a WSM. In this project, two students will design and implement a lifetime aware,
distributed data collection algorithm. There are two major parts. The first part is the design and implementation of a lifetime aware clustering algorithm. This algorithm partitions all the sensor nodes into k disjoint clusters and constructs a shortest path DAG (Directed Acyclic Graph) for each cluster. The second part is the design and
implementation of a lifetime aware data collection algorithm. The data collection algorithm is to send the data of each sensor node to its base station via a routing path of the shortest path DAG.The clustering algorithm and data collection algorithm will be implemented on a set of sensor nodes.
Comments:
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