Analiza podataka dobivenih primjenom NB IoT i LoRa tehnologija

undergraduate thesis

• Title (english): Analysis of data obtained using NB IoT and LoRa technology
• Author: Toma Žulj
• Mentor: Petar Mostarac (mentor)
• Committee member: Petar Mostarac (predsjednik povjerenstva)
• Committee member: Hrvoje Hegeduš (član povjerenstva)
• Committee member: Alan Šala (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2024-07-09, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing

Abstract

NB-IoT i LoRa tehnologije predstavljaju ključne komponente u području IoT,
omogućujući povezivanje velikog broja uređaja na mrežu. NB-IoT se ističe svojom
energetski učinkovitom i sigurnom komunikacijom, pružajući širok doseg i pouzdan
signal, čak i u teško dostupnim područjima. S druge strane, LoRa tehnologija nudi
visok domet komunikacije uz minimalnu potrošnju energije te fleksibilnost u različitim
scenarijima primjene.
Ove te tehnologije pružaju raznolike mogućnosti za razvoj inovativnih IoT rješenja u
sektorima poput pametnih gradova, poljoprivrede i industrije. Za analizu podataka
prikupljenih putem NB-IoT i LoRa mreža, alati poput Pandas biblioteke u Pythonu
nude moćne funkcionalnosti za obradu, analizu i vizualizaciju podataka. Integracija
Pandas-a s ovim tehnologijama omogućuje organizacijama dublje razumijevanje
performansi mreža, optimizaciju resursa te unaprjeđenje IoT aplikacija.

Abstract (english)

NB-IoT and LoRa technologies are key components in the field of IoT, enabling the
connection of a large number of devices to the network. NB-IoT stands out for its
energy-efficient and secure communication, providing a wide reach and reliable
signal, even in hard-to-reach areas. On the other hand, LoRa technology offers high
communication range with minimal energy consumption and flexibility in different
application scenarios.
These technologies provide diverse opportunities for the development of innovative
IoT solutions in sectors such as smart cities, agriculture and industry. To analyze data
collected through NB-IoT and LoRa networks, tools like the Pandas library in Python
offer powerful functionalities for data processing, analysis and visualization.
Integrating Pandas with these technologies enables organizations to gain a deeper
understanding of network performance, optimize resources, and improve IoT
applications.

• Keywords: NB-IoT; LoRa; Pandas; Python
• Keywords (english): NB-IoT; LoRa; Pandas; Python
• Language: croatian
• URN:NBN: urn:nbn:hr:168:246511
• Study programme: Title: Computing; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2024-10-12 22:35:39