Analysis of Clustering Algorithm for Wireless Sensor Networks Based on Deep Reinforcement Learning
This paper describes a clustering algorithm for wireless sensor networks based on deep reinforcement learning to solve the problem of limited sensor node resources.This algorithm calculates and evaluates the energy status of nodes through an energy model,and intelligently selects the cluster head node using a deep reinforcement learning framework.
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