REDUCING FLOATING DIRECTED ACYCLIC GRAPHS (DAGS) AND STABILIZING TOPOLOGY IN LOW POWER AND LOSSY NETWORKS (LLNS) USING LEARNING MACHINES

摘要

In one embodiment, a device determines a topological profile of individual nodes in a shared-media communication network, and also determines a respective likelihood of the nodes in the network to become a root of a floating topology based on the topological profiles. Accordingly, the device may provide instructions to particular nodes in the network based on the respective likelihoods.