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- W2744684038 abstract "Routing in wireless sensor networks has been a recent area of research because of its increased use in diverse application environments. Sensor nodes are energy constrained which possess a formidable challenge in designing efficient routing algorithms for them. Most of the scenarios where sensor networks are used such as battle field surveillance, health monitoring are delay sensitive in nature. To mitigate these problems, we have proposed two routing algorithms in this paper: one based on multiple static sink based scenario and the other based on multiple mobile sink based scenario. Both of these protocols use reinforcement learning methodology in order to solve the routing problem in an intelligent and efficient way." @default.
- W2744684038 created "2017-08-17" @default.
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- W2744684038 date "2017-08-05" @default.
- W2744684038 modified "2023-09-27" @default.
- W2744684038 title "Reinforcement Based Optimal Routing Algorithm for Multiple Sink Based Wireless Sensor Networks" @default.
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- W2744684038 doi "https://doi.org/10.1007/978-981-10-3376-6_52" @default.
- W2744684038 hasPublicationYear "2017" @default.
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