The Implementation of a Machine Learning-based Routing Algorithm in a Lab-Scale Testbed

The Implementation of a Machine Learning-based Routing Algorithm in a Lab-Scale Testbed

High quality of service (QoS) requires monitoring and controlling parameters such as delay and throughput. Due to network complexity, conventional QoS-improving routing algorithms (RAs) may be impractical. Thus, researchers are developing intelligent RAs, including machine learning (ML)-based algori...

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Bibliographic Details
Main Authors: Ridwan M.A., Radzi N.A.M., Azmi K.H.M., Ahmad A., Abdullah F., Ahmad W.S.H.M.W.
Other Authors: 57193648099
Format: Conference Paper
Published: IEEE Computer Society 2024
Subjects:
machine learning
QoS
routing algorithm
simulation
testbed
Learning algorithms
Machine learning
Quality control
Quality of service
Testbeds
Controlling parameters
High quality
Intelligent routing algorithm
Learning-based algorithms
Machine-learning
Monitoring and controlling
Monitoring parameters
Network complexity
Quality-of-service
Simulation
Routing algorithms
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