Adaptive routing protocol for large-scale power internet of things based on edge computing and federated learning
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Researchers are exploring various approaches to improve the efficiency and reliability of large-scale internet of things networks, particularly in the context of power systems. Different protocols and frameworks are being developed, incorporating techniques such as edge computing, federated learning, and hybrid fuzzy clustering. The goal of these efforts appears to be the creation of adaptive and resilient routing systems for internet of things networks.
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