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|Title: ||Intelligent Clustering in Wireless Sensor Networks|
|Authors: ||Guderian, Robert|
|Supervisor: ||Eskicioglu, Rasit (Computer Science)|
|Examining Committee: ||Graham, Peter (Computer Science)
McLeod, Robert (Electrical and Computer Engineering)|
|Graduation Date: ||October 2012|
|Issue Date: ||19-Sep-2012|
|Abstract: ||Wireless Sensor Networks (WSNs) are networks of small devices, called motes, designed to monitor resources and report to a server. Motes are battery-powered and have very little memory to store data. To conserve power, the motes usually form clusters to coordinate their activities. In heterogeneous WSNs, the motes have different resources available to them. For example, some motes might have more powerful radios, or larger power supplies. By exploiting heterogeneity within a WSN can allow the network to stay active for longer periods of time.
In WSNs, the communications between motes draw the most power. By choosing better clusterheads in the clusters to control and route messages, all motes in the network will have longer lifespans. By leveraging heterogeneity to select better clusterheads, I have developed Heterogeneous Clustering Control Protocol (HCCP). HCCP is designed to be highly robust to change and to fully utilize the resources that are currently available.|
|Appears in Collection(s):||FGS - Electronic Theses & Dissertations (Public)|
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