An Intelligent Traffic Classification based optimized routing in SDN|IoT

An Intelligent Traffic Classification based optimized routing in SDN-IoT

Then, a deep learning route optimization model based on the traffic classification is proposed. The model chooses the route that meets the QoS demands like.

An Intelligent Traffic Classification Based Optimized Routing in SDN ...

Due to speedy increase in IoT devices and its QoS requirements, providing networks solutions to meet this demand has become a major research ...

An Intelligent Traffic Classification in SDN-IoT: A Machine Learning ...

A Machine learning model that classifies traffic in SDN-IoT networks for traffic engineering and compares the impact of two feature selection methods, ...

An Intelligent Traffic Classification in SDN-IoT: A Machine Learning ...

... Ampratwum et al. [16] address the challenge of managing traffic in SDN networks, which have diverse QoS requirements, by leveraging SDN architecture and ...

An intelligent routing optimization strategy based on deep ...

With the emergence of software defined network (SDN) technology, the traffic ... [3] designed a traffic classification scheme based on DNN, and adapted different ...

Software defined networking based network traffic classification ...

SDN redefines network architecture by separating the control plane from the data plane, thereby departing from the OSI model hierarchy. SDN ...

(PDF) Traffic data classification in SDN network based on machine ...

SDN traffic classification is a critical function that allows the network to recognize and categorize various types of traffic such as video, ...

Traffic-aware optimal routing in software defined networks by ...

Introduction · Predicting the future network traffic patterns by integrating the capability of GRU into the SDN Network · Dynamically adjusting ...

Optimized Traffic Classification System for Software-Defined ...

A traffic classification system for SDN improves network efficiency by classifying the data flows. Quality of Services (QoS) enhances and ...

A computationally intelligent framework for traffic engineering and ...

[24] introduced box-covering-based routing (BCR) for large-scale SDN to reduce the time and space complexity of the Dijkstra algorithm by ...

An intelligent energy efficient optimized approach to control the ...

An energy efficient routing approach is proposed by applying Lion Swarm Optimization Algorithm (LSOA) to optimize the traffic flow path in SD-IoT network by ...

Intelligent SDN Traffic Classification Using Deep Learning: Deep-SDN

A new deep learning model for software-defined networks that can accurately identify a wide range of traffic applications in a short time, called Deep-SDN ...

Traffic-aware optimal routing in software defined networks by ...

In this work, it is proposed to have Gated Recurrent Unit (GRU) based traffic prediction to dynamically adjust link weights in SDN. It ...

Network Intelligent Control and Traffic Optimization Based on SDN ...

For telecom operators, it is of great significance to employ artificial intelligence (AI) and big data technology in a software-defined network (SDN) in ...

Optimization Algorithms in SDN: Routing, Load Balancing, and ...

The SDN controller managed the BGP routing information aiming to improve flexibility of the network management. OpenFlow API was used in order to communicate ...

Gauss Markov and Flow Balanced Vector Radial Learning network ...

Problems by conventional techniques to categorize network traffic acquired from IoT and assign resources can be resolved through SDN solutions.

A Deep-reinforcement Learning Approach for SDN Routing ...

The experimental results demonstrated that our proposed routing optimization mechanism has good effectiveness and convergence, which can not ...

Secure routing in the Internet of Things (IoT) with intrusion detection ...

For this purpose, the controller nodes in each SDN subnet control the traffic pattern of the network by using an intrusion detection model based ...

Heuristic traffic engineering for SDN - Taylor & Francis Online

One of the SDN benefits is the ability to optimize network traffic more efficiently than in classical IP networks. This paper proposes a heuristic traffic ...

Application-Based Online Traffic Classification with Deep Learning ...

The traffic classification based on the network applications is one important issue for network management. In this paper, we propose an ...