Optimizing Node‐Level Data Access Time Using Cluster‐Based Deep Reinforcement Learning Models

ABSTRACT Distributed systems must have effective node‐level data access to function optimally. Current techniques often suffer from delays and inaccurate information retrieval, necessitating novel strategies to maximize access duration. Although grouping extends the life of Wireless Sensor Networks ... View More