… routing algorithms in WSNs is lacking. In order to promote the application of ML-based routing
algorithms … This paper aims to fill the gap between ML and routing algorithms in WSNs by …

… routing algorithms do … routing algorithms based on machine learning present advantages
using that network data. Nevertheless, in a routing algorithm based on reinforcement learning (…

… So the proposed method utilize the type of the machine learning, the reinforcement learning
for … extreme machine learning to design a mobile adhoc network that is enriched with the …

… a review of the machine learning methods applied in various literatures over the period
2004-2020 related to WSN, especially in security and energy efficient routing methods of WSN. …

… This paper focuses on the development of a machine learning based routing algorithm for
interplanetary delay tolerant networks. Many routing algorithms have been developed for both …

… an overview of various machine learning techniques based on their learning behaviors for
a … Broadly, it can be classified into five categories based on their learning principles. These …

… routing algorithms based on machine learning. First, important research on existing data-driven
intelligent routing algorithms is … To enable intelligent routing algorithms to be deployed in …

… An algorithm A for the task is a function mapping values in X to labels in Y. Given a … learning.
We consider the following supervised learning approach to routing: the learning algorithm …

… integrates heuristic routing algorithms, simulation and machine learning. … a routing heuristic
that uses inter-target travel time predictions that are provided by a machine learning algorithm…

… On the other hand, the routing algorithms often suffer from uneconomical (meaning more …
In this paper, we designed a machine learning assisted cross-layer routing in a reconfigurable …