An efficient beaconing of bluetooth low energy by decision making algorithm

An efficient beaconing of bluetooth low energy by decision making algorithm

Abstract Ongoing research endeavors are exploring the potential of artificial intelligence to enhance the efficiency of wireless communication systems. Nevertheless, complex computational mechanisms, such as those inherent in neural networks, are not optimally suited for applications where the reduc...

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Bibliographic Details
Main Authors: Minoru Fujisawa, Hiroyuki Yasuda, Ryosuke Isogai, Maki Arai, Yoshifumi Yoshida, Aohan Li, Song-Ju Kim, Mikio Hasegawa
Format: Article
Language:English
Published: Springer 2024-04-01
Series:Discover Artificial Intelligence
Subjects:
IoT
Bluetooth low energy
BLE advertising
Decision-making
Reinforcement learning
Multi-armed bandit problem
Online Access:https://doi.org/10.1007/s44163-024-00122-7

Internet

https://doi.org/10.1007/s44163-024-00122-7

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