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- W4376473009 abstract "In order to solve the problems of telemedicine and human health monitoring, wireless body area network (WBAN) came into being. WBAN is a communication network based on human body, which is composed of network elements related to human body to monitor and maintain human life information. Its sensors throughout the body, make people can always get the required physiology data. Energy consumption is one of the most challenging problems in the application of WBAN due to the energy limitation of body area network devices. In order to improve the working life of nodes, this paper proposes an energy-saving routing protocol based on Q-learning. By exchanging the information between Neighbor nodes, the residual energy, communication energy consumption and routing loss are sent to the source node as feedback information, so that the source node can learn the routing strategy. The current device sets the node with the highest Q value as the destination node to find a path with less energy loss. The simulation results show that the route loss is reduced by about 15% and the average lifetime of the system is prolonged by about 10% by adding the consideration of routing loss and second-step transfer." @default.
- W4376473009 created "2023-05-14" @default.
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- W4376473009 date "2023-01-01" @default.
- W4376473009 modified "2023-10-12" @default.
- W4376473009 title "Routing Protocol Based on Q-Learning in WBAN" @default.
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- W4376473009 doi "https://doi.org/10.1007/978-981-99-2653-4_2" @default.
- W4376473009 hasPublicationYear "2023" @default.
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