Self-configuration and self-optimization process with taguchi method in hybrid optical wireless network

1Citations
Citations of this article
7Readers
Mendeley users who have this article in their library.

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.

Author supplied keywords

Cite

CITATION STYLE

APA

Khang, A. W. Y., Ramli, A., Elias, S. J., Pusppanathan, J., Alsayaydeh, J. A. J., Mustafa, F. H., … Gani, J. A. M. (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), 870–878. https://doi.org/10.11591/ijeecs.v19.i2.pp870-878

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free