Date of Publication

12-2021

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Electronics and Communications Engineering

Subject Categories

Electrical and Computer Engineering | Electrical and Electronics | Systems and Communications

College

Gokongwei College of Engineering

Department/Unit

Electronics And Communications Engg

Honor/Award

ECE/CpE Thesis Gold Awardee, 1st Term, A.Y. 2021-22

Thesis Advisor

Gerald P. Arada

Defense Panel Chair

Maria Antonette C. Roque

Defense Panel Member

Elmer R. Magsino
Ann E. Dulay

Abstract/Summary

In a calamity, cellular networks, internet services, and electricity may prove to be unreliable. And yet, emergency responders will need a way to contact and locate people-in-need as soon as possible. As such, this thesis proposes an emergency trilateration system that uses LoRa. A wireless communications technology characterized by its longer range and lower power consumption compared to other technologies such as Bluetooth and WiFi. This thesis developed a LoRa trilateration algorithm that improves upon the standard trilateration algorithm by using the closest points. This improved trilateration algorithm obtained a 73.0185% improvement in accuracy compared to the standard algorithm, across 25 datasets. Furthermore, the thesis utilized automated elbow methods to acquire the optimal parameters required by the DBSCAN and K-means clustering algorithms. For DBSCAN, the study automated the acquisition of the Epsilon and MinPts parameters, and for K-means, the SoSD parameter. After applying these clustering algorithms to filter the data, the results provided an average error of 39.6506 meters from the actual position.

Abstract Format

html

Language

English

Format

Electronic

Physical Description

xi, 242 leaves, illustrations (some color)

Keywords

Wireless communication systems; Emergency management; Satellite interference geolocation technology

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Embargo Period

2-8-2022

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