Mathematics – Optimization and Control
Scientific paper
2010-02-01
Mathematics
Optimization and Control
20 pages, 2 figures
Scientific paper
Motivated by current challenges in data-intensive sensor networks, we formulate a coverage optimization problem for mobile visual sensors as a (constrained) repeated multi-player game. Each visual sensor tries to optimize its own coverage while minimizing the processing cost. We present two distributed learning algorithms where each sensor only remembers its own utility values and actions played during the last plays. These algorithms are proven to be convergent in probability to the set of (constrained) Nash equilibria and global optima of certain coverage performance metric, respectively.
Martinez Sonia
Zhu Minghui
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