Automated devices enabled by wireless communications are deployed for a variety of purposes.
As they become more ubiquitous, their interaction becomes increasingly important
for coexistence when sharing a scarce resource, and for leveraging potential cooperation to achieve larger design goals.
This thesis investigates the use of game theory as a tool for design and analysis of networked systems of automated devices
in the areas of naval defence, wireless environmental monitoring through sensor networks, and cognitive radio wireless communications.
In the first part, decentralized operation of naval platforms deploying
electronic countermeasures against missile threats is studied.
The problem is formulated as a stochastic game in which platforms independently plan and execute
dynamic strategies to defeat threats in two situations: where coordination is impossible due to lack of
communications, and where platforms hold different objectives but can coordinate, according
to the military doctrine of Network Enabled Operations.
The result is a flexible, robust model for missile deflection for advanced naval groups.
Next, the problem of cooperative environmental monitoring and communication in energy-constrained wireless sensor networks
is considered from a game-theoretic perspective. This leads to novel protocols in which sensors cooperatively trade off
performance with energy consumption with low communication and complexity overhead.
Two key results are an on-line adaptive learning algorithm for tracking the correlated equilibrium set of a slowly
varying sensor deployment game, and an analysis of the equilibrium properties of threshold policies in a
game with noisy, correlated measurements.
Finally, the problem of dynamic spectrum access for systems of cognitive radios is considered. A game theoretic formulation
leads to a scheme for competitive bandwidth allocation which respects radios' individual interests while enforcing fairness
between users. An on-line adaptive learning scheme is again proposed for negotiating fair, equilibrium resource allocations, while
dynamically adjusting to changing conditions. / Applied Science, Faculty of / Electrical and Computer Engineering, Department of / Graduate
| Identifer | oai:union.ndltd.org:UBC/oai:circle.library.ubc.ca:2429/210 |
| Date | 05 1900 |
| Creators | Maskery, Michael |
| Publisher | University of British Columbia |
| Source Sets | University of British Columbia |
| Language | English |
| Detected Language | English |
| Type | Text, Thesis/Dissertation |
| Format | 1723389 bytes, application/pdf |
| Rights | Attribution-NonCommercial-NoDerivatives 4.0 International, http://creativecommons.org/licenses/by-nc-nd/4.0/ |
Page generated in 0.0018 seconds