<ul><li>Wireless sensor networks (WSNs) are valuable for structural health monitoring, but limited battery life is a challenge.</li><li>Existing methods for battery health management in WSNs focus on extending individual battery lifetime.</li><li>This study proposes a deep reinforcement learning (DRL) method for active battery degradation management at the system level.</li><li>The DRL method optimizes the duty cycle of WSNs, enabling group battery replacement without sacrificing network performance.</li></ul>

Active management of battery degradation in wireless sensor network using deep reinforcement learning for group battery replacement

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