Self-configuration and self-optimization process with taguchi method in hybrid optical wireless network
In this paper, an alternative improvement is proposed which is the adaptive wireless access networks-based optical backhaul convergence that will greatly promote to use the existing resource of MANET (mobile ad hoc network). However, these characteristics itself acts as a drawback to the MANET appli...
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Online Access: | http://eprints.utm.my/id/eprint/91585/1/ArnidzaRamli2020_SelfConfigurationandSelfOptimizationProcess.pdf http://eprints.utm.my/id/eprint/91585/ http://dx.doi.org/10.11591/ijeecs.v19.i2.pp870-878 |
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my.utm.915852021-07-11T14:30:10Z http://eprints.utm.my/id/eprint/91585/ Self-configuration and self-optimization process with taguchi method in hybrid optical wireless network Wong, Adam Yoon Khang Ramli, Arnidza Elias, Shamsul J. Pusppanathan, J. Jamil Alsayaydeh, Jamil Abedalrahim Mustafa, Fatin Hamimi Indra, Win Adiyansyah Mohamat Gani, Johar Akbar QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering In this paper, an alternative improvement is proposed which is the adaptive wireless access networks-based optical backhaul convergence that will greatly promote to use the existing resource of MANET (mobile ad hoc network). However, these characteristics itself acts as a drawback to the MANET applications such as the random distribution of nodes and continuously changing topology. MiNiTab statistical software was used to model the effect of the parameter variation to predict the field quality through the design of experiments while OMNeT++ network simulation was created to visualize the effect of QoS performance study in response with varying speed scenario. The result shows that the proposed ESCMDR scheme can obtain robustness and outperformed compared to the nonTaguchi previous study when it is used in random waypoint mobility model in any speed of sources. The work is based on Packet Delivery Ratio (PDR) and Packet Loss Probability (PLP) metric under the varying speed scenario. It results in better QoS network PDR of 28.9% improvement, with 83.56% improvement on average PLP. The paper shows that the MANET QoS performance constrained can be addressed with the self-configured data rate of integrated optimization with Taguchi method on AODV-UU (Adhoc On Demand Distance Vector-Uppsala University) routing technique. Institute of Advanced Engineering and Science 2020-08 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/91585/1/ArnidzaRamli2020_SelfConfigurationandSelfOptimizationProcess.pdf Wong, Adam Yoon Khang and Ramli, Arnidza and Elias, Shamsul J. and Pusppanathan, J. and Jamil Alsayaydeh, Jamil Abedalrahim and Mustafa, Fatin Hamimi and Indra, Win Adiyansyah and Mohamat Gani, Johar Akbar (2020) Self-configuration and self-optimization process with taguchi method in hybrid optical wireless network. Indonesian Journal of Electrical Engineering and Computer Science, 19 (2). pp. 870-878. ISSN 2502-4752 http://dx.doi.org/10.11591/ijeecs.v19.i2.pp870-878 DOI:10.11591/ijeecs.v19.i2.pp870-878 |
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QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering Wong, Adam Yoon Khang Ramli, Arnidza Elias, Shamsul J. Pusppanathan, J. Jamil Alsayaydeh, Jamil Abedalrahim Mustafa, Fatin Hamimi Indra, Win Adiyansyah Mohamat Gani, Johar Akbar Self-configuration and self-optimization process with taguchi method in hybrid optical wireless network |
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In this paper, an alternative improvement is proposed which is the adaptive wireless access networks-based optical backhaul convergence that will greatly promote to use the existing resource of MANET (mobile ad hoc network). However, these characteristics itself acts as a drawback to the MANET applications such as the random distribution of nodes and continuously changing topology. MiNiTab statistical software was used to model the effect of the parameter variation to predict the field quality through the design of experiments while OMNeT++ network simulation was created to visualize the effect of QoS performance study in response with varying speed scenario. The result shows that the proposed ESCMDR scheme can obtain robustness and outperformed compared to the nonTaguchi previous study when it is used in random waypoint mobility model in any speed of sources. The work is based on Packet Delivery Ratio (PDR) and Packet Loss Probability (PLP) metric under the varying speed scenario. It results in better QoS network PDR of 28.9% improvement, with 83.56% improvement on average PLP. The paper shows that the MANET QoS performance constrained can be addressed with the self-configured data rate of integrated optimization with Taguchi method on AODV-UU (Adhoc On Demand Distance Vector-Uppsala University) routing technique. |
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Article |
author |
Wong, Adam Yoon Khang Ramli, Arnidza Elias, Shamsul J. Pusppanathan, J. Jamil Alsayaydeh, Jamil Abedalrahim Mustafa, Fatin Hamimi Indra, Win Adiyansyah Mohamat Gani, Johar Akbar |
author_facet |
Wong, Adam Yoon Khang Ramli, Arnidza Elias, Shamsul J. Pusppanathan, J. Jamil Alsayaydeh, Jamil Abedalrahim Mustafa, Fatin Hamimi Indra, Win Adiyansyah Mohamat Gani, Johar Akbar |
author_sort |
Wong, Adam Yoon Khang |
title |
Self-configuration and self-optimization process with taguchi method in hybrid optical wireless network |
title_short |
Self-configuration and self-optimization process with taguchi method in hybrid optical wireless network |
title_full |
Self-configuration and self-optimization process with taguchi method in hybrid optical wireless network |
title_fullStr |
Self-configuration and self-optimization process with taguchi method in hybrid optical wireless network |
title_full_unstemmed |
Self-configuration and self-optimization process with taguchi method in hybrid optical wireless network |
title_sort |
self-configuration and self-optimization process with taguchi method in hybrid optical wireless network |
publisher |
Institute of Advanced Engineering and Science |
publishDate |
2020 |
url |
http://eprints.utm.my/id/eprint/91585/1/ArnidzaRamli2020_SelfConfigurationandSelfOptimizationProcess.pdf http://eprints.utm.my/id/eprint/91585/ http://dx.doi.org/10.11591/ijeecs.v19.i2.pp870-878 |
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1705056733028679680 |
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