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

• Main Authors: Ipil, Melvin V., Lacambra, Jayvee C., Namia, Francess Rizza T.
• Format: text
• Language: English
• Published: Animo Repository 2015
• Subjects: Broadband communication systems > Philippines; Smart Broadband; De La Salle University; Science and Technology Complex; Engineering
• Online Access: https://animorepository.dlsu.edu.ph/etd_bachelors/6429
• Institution: De La Salle University

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.