Wi-fi characterization and connectivity predictions for Smart Broadband Services in DLSU-STC

Date of Publication

2015

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Electronics Engineering

Subject Categories

Engineering

College

Gokongwei College of Engineering

Department/Unit

Electronics and Communications Engineering

Thesis Adviser

Roy Francis R. Navea

Defense Panel Member

Melchizedek I. Alipio

Enrique M. Manzano

Abstract/Summary

Wireless Fidelity (Wi-Fi) technology has gained acceptance in many establishments and companies as an alternative to a wired local area network (LAN). Wi-Fi is widely used in businesses, agencies, schools and homes mainly for Internet connection. Since it is wireless, its performance has to be evaluated according to different parameters that could possibly affect its utilization.

In this study, a method of statistically characterizing Wi-Fi connections and a connection prediction algorithm was proposed. Five Wi-Fi parameters were considered: speed, signal strength, signal quality, number of users and data traffic. The observations were carried-on using a laptop, a tablet and a mobile phone. The statistical characteristic were fed into an artificial neural network (ANN) which is the bases of the connection prediction algorithm.

Results show the statistical characteristics of Wi-Fi connection provided by Smart Communications, Inc. to De La Salle University - Science & Technology Complex. A means for determining the quality of Wi-Fi connection was created using ANN.

Abstract Format

html

Language

English

Format

Print

Accession Number

TU17027

Shelf Location

Archives, The Learning Commons, 12F, Henry Sy Sr. Hall

Physical Description

xiii, 162 leaves : illustrations (some colored) ; 28 cm. + 1 disc ; 4 3/4 in.

Keywords

Broadband communication systems--Philippines; Smart Broadband; De La Salle University; Science and Technology Complex

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