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
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
Recommended Citation
Ipil, M., Lacambra, J. C., & Namia, F. T. (2015). Wi-fi characterization and connectivity predictions for Smart Broadband Services in DLSU-STC. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/6429