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• W1684098268 abstract "Reducing energy consumption is one of the key challenges in sensor networks. One technique to reduce energy consumption is dynamic power management. In this paper we model power management problem in a sensor node as an average reward Markov Decision Process and solve it using dynamic programming. We achieve an optimal policy that maximizes long-term average of utility per energy consumption. Simulation results show our approach has the ability of reaching to the same amount of utility as always on policy while consuming less energy than always on policy." @default.
• W1684098268 created "2016-06-24" @default.
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• W1684098268 date "2009-01-01" @default.
• W1684098268 modified "2023-09-25" @default.
• W1684098268 title "Dynamic Power Management for Sensor Node in WSN Using Average Reward MDP" @default.
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• W1684098268 doi "https://doi.org/10.1007/978-3-642-03417-6_6" @default.
• W1684098268 hasPublicationYear "2009" @default.
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