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- W4386804928 abstract "A WBAN consists of a network of multipurpose nodes with limited storage and limited lifetimes. Keeping these nodes running on their limited battery power is a difficult undertaking. As a result, in any WSN-IoT network, energy saving is of major concern. Due to the ever-changing conditions of the actual world, WBAN must be designed to accommodate a diverse set of nodes if it is to survive for any length of time. The main difficulty, out of all those that are possible, is energy consumption during data communication among these scarce resource sensors. As the signal is continuously sensed by these sensors, messages are sent to other nodes. Therefore, it is necessary to maximize the use of energy in WBAN. This paper’s major goal is to maximize the effectiveness of optimization techniques. With the advantages of double Q-learning for cluster head selection and cluster updation, a cluster-based routing protocol is designed and presented for WBAN." @default.
- W4386804928 created "2023-09-17" @default.
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- W4386804928 date "2023-01-01" @default.
- W4386804928 modified "2023-09-27" @default.
- W4386804928 title "Energy-Optimized Routing Protocol for Heterogeneous Wireless Body Area Network Using Optimization Algorithm" @default.
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- W4386804928 doi "https://doi.org/10.1007/978-981-99-3716-5_36" @default.
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