Developing a Novel Adaptive Double Deep Q-Learning-Based Routing Strategy for IoT-Based Wireless Sensor Network with Federated Learning

Developing a Novel Adaptive Double Deep Q-Learning-Based Routing Strategy for IoT-Based Wireless Sensor Network with Federated Learning

The working of the Internet of Things (IoT) ecosystem indeed depends extensively on the mechanisms of real-time data collection, sharing, and automatic operation. Among these fundamentals, wireless sensor networks (WSNs) are important for maintaining a countenance with their many distributed Sensor...

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Bibliographic Details
Main Authors: Nalini Manogaran, Mercy Theresa Michael Raphael, Rajalakshmi Raja, Aarav Kannan Jayakumar, Malarvizhi Nandagopal, Balamurugan Balusamy, George Ghinea
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Sensors
Subjects:
Internet of Things (IoT)
wireless sensor network (WSN)
smart data routing
federated learning
deep earning
Online Access:https://www.mdpi.com/1424-8220/25/10/3084
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