mayankjain0141/ML-Classification-DTN-Routing
This repository contains my implementation of the research paper "Delay-Tolerant Network Routing as a Machine Learning Classification Problem" for the Study Project under VS Shekhawat Sir.
This project helps network administrators and engineers manage Delay Tolerant Networks (DTNs) more efficiently. It takes historical network data, including node movement and message delivery status, to predict the optimal path for messages. The output identifies which nodes a message should be forwarded to, reducing the resource overhead typically associated with existing routing methods.
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Use this if you are responsible for managing networks with intermittent connectivity and want to improve message routing decisions while minimizing resource consumption.
Not ideal if your network has consistently stable connections and fixed routing paths, as this solution is specifically designed for frequently disrupted environments.
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Jupyter Notebook
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Apache-2.0
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Jul 15, 2021
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