Wireless sensor networks (WSNs) have emerged in strategic applications such as
target detection, localization, and tracking in battlefields, where the large-scale na-
ture renders centralized control prohibitive. In addition, the finite batteries in sensor
nodes demand energy-aware network control. In this thesis, we propose an energy-
efficient topology management model inspired by biological inter-cellular signaling
schemes. The model allows sensor nodes to cluster around imminent targets in a
purely distributed and autonomous fashion. In particular, nodes in the target vicinity
collaborate to form clusters based on their relative observation quality values. Sub-
sequently, the clustered sensor nodes compete based on their energy levels until some
of them gain active status while the rest remain idle, again according to a distributed
algorithm based on biological processes. A final phase of the model has the active
cluster members compete until one of them becomes the clusterhead. We examine the
behavior of such a model in both finite-size and infinite-size networks. Specifically,
we show that the proposed model is inherently stable and achieves superior energy
efficiency against reference protocols for networks of finite size. Furthermore, we dis-
cuss the behavior of the model in the asymptotic case when the number of nodes goes
to infinity. In this setting, we study the average number of cluster members.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/ETD-TAMU-2009-12-7508 |
| Date | 2009 December 1900 |
| Creators | Charalambous, Charalambos |
| Contributors | Cui, Shuguang |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Thesis, text |
| Format | application/pdf |
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