Journal article
R. Okoro, O. Ubadike, A. Onumanyi, A. M. Aibinu
Nigerian Journal of Technology, 2022
Nigerian Journal of Technology, 2022
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APA
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Okoro, R., Ubadike, O., Onumanyi, A., & Aibinu, A. M. (2022). Routing optimization in a wireless network using genetic algorithm and ILA routing metric. Nigerian Journal of Technology.
Chicago/Turabian
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Okoro, R., O. Ubadike, A. Onumanyi, and A. M. Aibinu. “Routing Optimization in a Wireless Network Using Genetic Algorithm and ILA Routing Metric.” Nigerian Journal of Technology (2022).
MLA
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Okoro, R., et al. “Routing Optimization in a Wireless Network Using Genetic Algorithm and ILA Routing Metric.” Nigerian Journal of Technology, 2022.
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@article{r2022a,
title = {Routing optimization in a wireless network using genetic algorithm and ILA routing metric},
year = {2022},
journal = {Nigerian Journal of Technology},
author = {Okoro, R. and Ubadike, O. and Onumanyi, A. and Aibinu, A. M.}
}
Abstract
Wireless access technology is a popular means of delivering various telecommunication services to users in Nigeria. Wireless Mesh Networking and Wireless Sensor Networking have found useful applications in wireless access systems, surveillance and infrastructure Management. A key problem associated with this technology is performance degradation in terms of Quality of Service (QoS). Achieving good QoS in Wireless Networks design involves implementing a robust routing optimization technique. Genetic Algorithm (GA) technique in NS2 network simulator was used to implement routing optimization in order to solve the performance issues experienced in a campus-based Voice over Internet Protocol (VoIP) communication system. The Interference and Load Aware (ILA) routing metric was chosen as the fitness function which helps to select the best route from a set of identified traffic paths that best guarantees low delay, high throughput and low packet losses suitable for real time communication. Results show that the GA based route optimization produced a 23% improvement in Throughput, 11% less Delay and 16% less Packet loss in comparison to the non-GA route. This work shows that route optimization in wireless multi-hop networks based on GA and ILA improves its QoS.
