Date of Publication

7-9-2022

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Computer Science Major in Computer Systems Engineering

Subject Categories

Computer Sciences | Systems Engineering

College

College of Computer Studies

Department/Unit

Computer Technology

Thesis Advisor

Clement Yu Ong

Defense Panel Chair

Marnel S. Peradilla

Defense Panel Member

Hiroki Asaba
Dan Jeric A. Rustia

Abstract/Summary

Civil infrastructure in the Philippines is susceptible to damage caused by a multitude of natural and man-made phenomena such as typhoons, earthquakes, pollution, fires, and the like. As such, it is important to employ Structural Health Monitoring (SHM) techniques such as implementing Wireless Sensor Networks (WSN) to measure and assess structural health with the use of vibration data. One major problem that arises when designing and implementing WSNs is time synchronization across nodes. Time synchronization error between nodes in a WSN can result in inaccurate measurements which would render the network practically useless. Many time synchronization algorithm options for WSNs have not been fully characterized and compared in real-world applications. Thus, Multiple time synchronization algorithms (TPSN, FTSP, and RTSP) were tested in order to characterize each algorithm's balance of accuracy and power consumption. It was found that the distance between nodes had little impact on the performance of all algorithms. For FTSP and RTSP, the error stayed within 1.5 ms for all tested ranges. For TPSN, the error stayed within 0.7 ms for all tested ranges. In terms of hop distance, the error for both FTSP and TPSN grew around 1 ms per hop. On the other hand, the error with RTSP did not seem to grow with the number of hops. Additionally, FTSP consumed the least amount of current using 46 mA, while TPSN and RTSP consumed around 50 mA and 51 mA respectively.

Abstract Format

html

Language

English

Format

Electronic

Physical Description

[123 leaves]

Keywords

Time; Synchronization; Wireless sensor networks; Structural health monitoring

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Embargo Period

7-9-2023

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