Decentralized adaptation in sensor networks: Analysis and application of regret-based algorithms

TitleDecentralized adaptation in sensor networks: Analysis and application of regret-based algorithms
Publication TypeJournal Article
Year of Publication2007
AuthorsMaskery, M., and V. Krishnamurthy
JournalProceedings of the 46th IEEE Conference on Decision and Control, Vols 1-14
Pagination2335–2340
ISSN0191-2216
Abstract

We describe a class of decentralized, game theoretic adaptive algorithms which can be deployed to manage sensor activities with low coordination overhead. This class includes traditional game theoretic algorithms such as fictitious play as well as new dynamically adaptive regret matching algorithms, which allow sensors to track a competitively optimal (correlated equilibrium) set of behaviour as it evolves in time. Two applications are given, to a ZigBee-enabled unattended ground sensor network for intruder monitoring, and to a dynamic spectrum allocation scheme for wireless sensor communication.

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