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An Overview of Machine Learning-Based Energy-Efficient Routing Algorithms in Wireless Sensor Networks
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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QoS-Aware and Heterogeneously Clustered Routing Protocol for Wireless Sensor Networks
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MCTOPE Ensemble Machine Learning Framework: A Case Study of Routing Protocol Prediction
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Security of the Internet of Things: Vulnerabilities, Attacks, and Countermeasures
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Adaptive Duty Cycle MAC Protocol of Low Energy WSN for Monitoring Underground Pipelines
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Communicating via Fireflies: Geographic Routing on Duty-Cycled Sensors
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Q-Probabilistic Routing in Wireless Sensor Networks
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Latency and Lifetime Enhancements in Industrial Wireless Sensor Networks: A Q-Learning Approach for Graph Routing
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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