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ML-RPL: Smart Grid Routing Protocol by jayalakshmirao23 is a document available to read on EtoBox.

This paper proposes an enhancement to the Routing Protocol for Low-Power and Lossy Networks (RPL) called ML-RPL that utilizes machine learning to optimize routing decisions in wireless smart grid networks. The ML-RPL approach trains a gradient boosted decision tree model on routing metrics to predict the probability of successfully reaching destinations. Nodes use the model to select the highest probability route for packet delivery. Simulations using a realistic scenario based on real smart meter locations

Author

jayalakshmirao23

Language

EN