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Please use this identifier to cite or link to this item: http://hdl.handle.net/1993/8879

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
Keywords: WSN
clustering
Heterogeneous
cooperative systems
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.
URI: http://hdl.handle.net/1993/8879
Appears in Collection(s):FGS - Electronic Theses & Dissertations (Public)

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