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- W2354385373 abstract "To solve the problem of transmission in wireless networks, a transmission and scheduling scheme based on Wlearning algorithm in wireless networks was proposed in this paper. Building the system model based on Markov Decision Progress( MDP), with the help of W-learning algorithm, the goal of using this scheme was to transmit intelligently, namely,the package loss under the premise of energy saving by choosing which one to transmit and the transmit mode legitimately was reduced. The curse of dimensionality was overcome by state aggregate method, and the number of actions was reduced by action set reduction scheme. The storage space compression ratio of successive approximation was 41%; the storage space compression ratio of W-learning algorithm was 43%. Finally, the simulation results were given to evaluate the performances of the scheme, which showed that the proposed scheme can transport data as much as possible on the basis of energy saving, the state aggregation method and the action set reduction scheme can simplify the calculation with little influence on the performance of algorithms." @default.
- W2354385373 created "2016-06-24" @default.
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- W2354385373 date "2013-01-01" @default.
- W2354385373 modified "2023-09-23" @default.
- W2354385373 title "Transmission and scheduling scheme based on W-learning algorithm in wireless networks" @default.
- W2354385373 hasPublicationYear "2013" @default.
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