Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks

Lightweight Reinforcement Learning for Energy Efficient Communications in Wireless Sensor Networks

High-density communications in wireless sensor networks (WSNs) demand for new approaches to meet stringent energy and spectrum requirements. We turn to reinforcement learning, a prominent method in artificial intelligence, to design an energy-preserving MAC protocol, with the aim to extend the netwo...

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Bibliographic Details
Main Authors: Claudio Savaglio, Pasquale Pace, Gianluca Aloi, Antonio Liotta, Giancarlo Fortino
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Wireless sensor network
artificial intelligence
reinforcement learning
energy-efficient network
medium access control
Online Access:https://ieeexplore.ieee.org/document/8657937/

Internet

https://ieeexplore.ieee.org/document/8657937/

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