Abstract: This paper discusses a machine learning-based approach to routing for delay tolerant networks (DTNs) [1]. DTNs are networks which experience ...
Abstract—This paper discusses a machine learning-based ap- proach to routing for delay tolerant networks (DTNs) [1]. DTNs are networks which experience ...
This repository contains my implementation of the research paper "Delay-Tolerant Network Routing as a Machine Learning Classification Problem" for the Study ...
... Their results showed that machine learning classification is a workable method to expect network traffic, reducing overhead in epidemic-based routing ...
This work uses machine learning classifiers to predict a set of neighboring nodes which are the most likely to deliver a message to a desired location based ...
This paper focuses on the development of a machine learning based routing algorithm for interplanetary delay tolerant networks. Many routing algorithms have ...
Jan 1, 2024 · The classification and a brief investigation of the performance of the current DTN-based DSN routing Strategies are presented in section 4.
Abstract: This paper presents, better routing method in Delay Tolerant Network using Machine learning. Delay Tolerant Network is a wireless network, ...
Missing: Problem. | Show results with:Problem.
Routing in delay-tolerant networking concerns itself with the ability to transport, or route, data from a source to a destination, which is a fundamental ...
People also ask
What is a delay tolerant network?
What are the basic machine learning classification problems?
What is delay tolerant link state routing?
What is the PRoPHET routing protocol?
May 11, 2023 · In practice, the movement of nodes in DTNs is not completely random and can be predicted. Machine learning-based routing can take advantage ...