Date of Publication

6-2022

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Electronics Engineering

Subject Categories

Electrical and Computer Engineering | Systems and Communications

College

Gokongwei College of Engineering

Department/Unit

Electronics And Communications Engg

Thesis Advisor

Elmer R. Magsino

Defense Panel Chair

Melchizedek I. Alipio

Defense Panel Member

Gerald P. Arada
Gerino P. Mappatao

Abstract/Summary

This study presents the development of an Indoor Positioning System (IPS) in a three-storey building using WiFi signals. The IPS design is integrated into an Android mobile application using Android Studio. The RSSI signals are detected from WiFi APs using a developed mobile application. The mobile device uses these measurements to localize the position of the user within the building. The study aims to investigate and implement two positioning algorithms, which are the k Nearest Neighbors (kNN) algorithm and the Particle Swarm Optimization (PSO) algorithm. In addition, the Density-based spatial clustering of applications with noise (DBSCAN) was also integrated into the IPS design to remove noise from the path of the mobile device to further improve the accuracy of the system. The results of the study showed that the integration of PSO and DBSCAN algorithms in the IPS yielded an accuracy of 69.27% within 1 meter and an average deviation of 0.94 meter. The performance of the IPS designs under varying environmental conditions was also examined to analyze the effects of the dynamic environment on the system’s performance.

Abstract Format

html

Language

English

Format

Electronic

Keywords

Indoor positioning systems (Wireless localization)

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Embargo Period

6-18-2022

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