A Survey on Improvements of RPL based on Machine Learning

초록

RPL (the IPv6 Routing Protocol for Low-Power and Lossy Networks) is a de facto routing protocol for low-power and lossy networks, standardized by the IETF. Since RPL was designed with the objective to meet routing requirements defined for low-power and lossy networks and has been enhanced, optimized to meet the requirements for the target applications. Although the issues to be resolved are different depending on the application scenarios, congestion is always one of the common issues. As machine learning has made breakthroughs in innumerable areas, we observe that research to address the congestion problem in RPL-based networks based on machine learning significantly increased in recent years. In this article, we examine and compare some of the research papers and discuss future research direction.

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