… Abstract—This paper proposes a novel routing protocol for Opp- Nets called MLProph,
which uses machine learning (ML) algorithms, namely decision tree and neural networks, to …

… show the efficacy of machine learning approaches in managing noise and router congestion
in … the behavior of the machine learning mechanisms and the trends that we have observed. …

… The aim of this article is to investigate how DTN routing protocols can be improved with
machine learning techniques, in order to better adapt them to current technologies. Hence, we …

… some novel machine learning applications in routing in … with routing and supervised
learning or reinforcement learning … We also implemented two routing protocols and verified the …

… cross-layer routing protocol based on CR-IoT to improve routing efficiency and optimize …
load balancing, neighbourhood sensing and machine-learning path construction. The proposed …

… of routing algorithms using machine learning for … machine learning techniques in the routing
of Delay tolerant networks. This paper also reviews the routing based on Machine learning. …

… Satisfying the delay constraints, bandwidth constraints, and incorporating machine learning
techniques to develop a routing protocol is quite exciting research, especially utilizing the …

… learning over the traditional OSPF routing protocol, using Quagga, which permits modifying
the routing … It is tested and compared against the conventional OSPF routing protocol and …

… Since routing protocols are designed to run continuously and handle topology changes, we
… of the protocol: cold-start when the routing protocol is first initialized on the active routers, …

… , this study proposes an efficient machine learning-based routing protocol. This study considers
… protocol uses two machine learning algorithms that are utilized for clustering and routing. …