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Neural Contextual Bandits Based Dynamic Sensor Selection for Low-Power Body-Area Networks
[article]
2022
arXiv
pre-print
Providing health monitoring devices with machine intelligence is important for enabling automatic mobile healthcare applications. However, this brings additional challenges due to the resource scarcity of these devices. This work introduces a neural contextual bandits based dynamic sensor selection methodology for high-performance and resource-efficient body-area networks to realize next generation mobile health monitoring devices. The methodology utilizes contextual bandits to select the most
arXiv:2205.11832v1
fatcat:swwfwrlvgbftfcptcp6wynnqju