Energy Efficient Wireless Communication Utilizing Reinforcement Based Learning

IoT devices and battery technology have come to the forefront of a society that acknowledges the need for better, cleaner power management and generation. As these technologies improve, better and more efficient means of wireless communication can extend the longevity of battery power devices and ne...

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Bibliographic Details
Main Authors: Chakravarty, Sumit, Banerjee, Madhushri, Agarwal, Satyam
Format: Conference Proceeding
Language:English
Subjects:
Battery Management Systems
Device to Device Communications
Energy efficiency
Internet of Things
Power system management
Protocols
Reinforcement learning
Smart cities
Wireless communication
Wireless Communications
Online Access:Request full text
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Summary:IoT devices and battery technology have come to the forefront of a society that acknowledges the need for better, cleaner power management and generation. As these technologies improve, better and more efficient means of wireless communication can extend the longevity of battery power devices and networks. The use of reinforcement learning can spur an even greater improvement in these protocols than traditional means. Experiments show the efficacy of the approach as well as the efficiency achieved using the RL process.
ISSN:1949-4106
DOI:10.1109/HONET56683.2022.10019077