Artificial neural network based antenna sensitivity assignments for chaotic Internet service provider network architecture

College

Gokongwei College of Engineering

Department/Unit

Electronics And Communications Engg

Document Type

Article

Source Title

International Journal of Engineering and Technology(UAE)

Volume

7

Issue

2

First Page

14

Last Page

17

Publication Date

1-1-2018

Abstract

The connectivity and grade of service of an Internet Service Provider (ISP) in the Philippines is observed and analysed in this research. Traditionally, the sensitivity of the antennas for wireless access points are done manually by monitoring the signal levels onsite during the installation process. Ten subscriber locations are randomly selected as test points. The connectivity of these subscribers is observed given that their sensitivities are set manually. Finally, a proposed artificial neural network algorithm is presented to improve the availability of the internet link. The proposed algorithm incorporates the random variations of the received signal levels of the internet access points and possible degradation of signals from attenuation due to rain. Experiment results show that at least 75% increase in availability is observed using the proposed algorithm during rainy events. © 2018 Authors.

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Digitial Object Identifier (DOI)

10.14419/ijet.v7i2.3.9958

Disciplines

Electrical and Computer Engineering

Keywords

Internet service providers--Philippines; Wireless communication systems--Philippines; Neural networks (Computer science)

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