Date of Publication

7-8-2022

Document Type

Bachelor's Thesis

Degree Name

Bachelor of Science in Computer Science major in Network and Information Security

Subject Categories

Information Security

College

College of Computer Studies

Department/Unit

Computer Technology

Thesis Advisor

Marnel S. Peradilla

Defense Panel Chair

Gregory G. Cu

Defense Panel Member

Arlyn Verina L. Ong
Jocelynn W. Cu

Abstract/Summary

Wireless sensor networks (WSN) are groups of nodes that collectively sense and control an environment. The readings of these nodes may reach a point where it becomes too big for the network to handle, where data compression becomes an option to minimize the size of data being transmitted across the network. LZMA, LZW, LEC, gzip, and bzip2 are well-known lossless compression techniques used in prior studies and are generally recommended for sensor data. Previous studies show that these algorithms yielded at least 60% in compression ratio. This study simulated data compression in a WSN using these algorithms with a Raspberry Pi, ZigBee module, and a personal computer to reproduce the functionalities of a WSN. The simulated scenarios reveal that bzip2 and LZMA are suited for sensor data compression, followed by LZW and gzip, and LEC performing the worst, with all results compared to prior studies.

Abstract Format

html

Language

English

Format

Electronic

Physical Description

vii, [105 leaves]

Keywords

Wireless sensor networks; Data compression (Computer science)

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Embargo Period

7-8-2023

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