Khang, Adam Wong Yoon and Ramli, Arnidza and Elias, Shamsul Jamel and Pusppanathan, Jaysuman 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
![[img]](http://eprints.utem.edu.my/style/images/fileicons/text.png) |
Text
21795-43149-1-PB.PDF Download (491kB) |
Abstract
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | AODV-UU, ESCMDR, FiWi-MANET, PDR, PLP, Hybrid optical wireless network |
| Divisions: | Faculty of Electrical and Electronic Engineering Technology |
| Depositing User: | Sabariah Ismail |
| Date Deposited: | 10 Mar 2021 15:00 |
| Last Modified: | 04 Jul 2023 15:23 |
| URI: | http://eprints.utem.edu.my/id/eprint/24895 |
| Statistic Details: | View Download Statistic |
Actions (login required)
 |
View Item |