Citation

Ridwan, Mohammad Azmi and Mohamed Radzi, Nurul Asyikin and Mohd Azmi, Kaiyisah Hanis and Ahmad, Ayuniza and Abdullah, Fairuz and Wan Ahmad, Wan Siti Halimatul Munirah (2023) The Implementation of a Machine Learning-based Routing Algorithm in a Lab-Scale Testbed. In: 2023 IEEE Symposium on Wireless Technology & Applications (ISWTA), 15-16 August 2023, Kuala Lumpur, Malaysia.

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Abstract

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 algorithms to meet traffic Q oS r equirements. However, most current studies evaluate performance using simulations. Validation requires real-world environment studies, but lab-scale testbed studies are limited. Therefore, we proposed an ML-based RA (ML-RA-t) to improve delay and throughput, evaluated using simulation and a lab-scale testbed. The results show that ML-RA-t predicted the fastest route as compared to RIPv2 routing protocol in simulation and testbed.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Machine learning, routing algorithm, simulation, testbed, QoS
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	01 Nov 2023 02:35
Last Modified:	01 Nov 2023 02:35
URII:	http://shdl.mmu.edu.my/id/eprint/11831

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