Deep Reinforcement Learning-Based Resource Scheduling Strategy for Reliability-Oriented Wireless Body Area Networks
Reliability is a critical factor in designing of wireless body area networks. In this letter, we propose a resource scheduling strategy and solving an optimization problem to maximize the reliability of the transmission of emergency-critical sensory data. We jointly consider transmission mode, relay...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers Inc.
2021
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Series: | IEEE Sensors Letters
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Subjects: | |
Online Access: | View Fulltext in Publisher View in Scopus |