Game Theoretic Optimal Transmission Strategies in Multipacket Reception Sensor Networks

TitleGame Theoretic Optimal Transmission Strategies in Multipacket Reception Sensor Networks
Publication TypeConference Paper
Year of Publication2005
AuthorsNgo, M. H., and V. Krishnamurthy
Conference NameSignals, Systems and Computers, 2005. Conference Record of the 39th Asilomar Conference on
Pagination225 -229
Date Publishedoct.
Keywordsdecentralized channel state information, game theoretic optimal transmission, gradient methods, multipacket reception sensor networks, Nash equilibrium, stochastic games, stochastic gradient based algorithm, wireless channels, wireless sensor networks

Decentralized channel state information is exploited for optimal transmission policies for non-cooperative sensors in wireless networks with the multipacket reception capability. The problem is formulated as a non-cooperative game of a finite number of players and actions with a continuous channel state space. We prove the existence of a Nash equilibrium at which every sensor adopts a threshold policy. A stochastic gradient based algorithm that can be used to adaptively estimate the optimal transmission threshold for a sensor is proposed. The theoretical results and the tracking capability of the algorithm are illustrated via numerical examples


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