Programska emulacija senzorskih čvorova u Internetu stvari

master's thesis

• Title (english): Sensor nodes emulation in the Internet of Things
• Author: Luka Cindrić
• Mentor: Gordan Ježić (mentor)
• Committee member: Gordan Ježić (predsjednik povjerenstva)
• Committee member: Mario Kušek (član povjerenstva)
• Committee member: Marina Bagić Babac (član povjerenstva)
• Granter: University of Zagreb; Faculty of Electrical Engineering and Computing; Zagreb
• Defense date and country: 2016-07-11, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Computing
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Electrical Engineering

Abstract

Cilj ovog rada je predložiti rješenje za sustav koji će emulirati velik broj senzorskih čvorova. Sustav se sastoji od računalne aplikacije koja emulira senzore, lokalne baze podataka u kojoj su spremljeni podaci o modelima senzora i baze podataka u računalnom oblaku u koju se spremaju generirane vrijednosti.
U radu je prvo opisan pojam Internet stvari, zatim je opisan općenito sustav za emulaciju senzora. Nakon toga slijedi opis modela senzora koji se mogu emulirati. Na kraju je opisana računalna aplikacija, njeni obrasci uporabe i arhitektura.

Abstract (english)

The objective of this thesis is to propose a solution for a system that will emulate sensor nodes in Internet of things. The system consists of desktop application that is used to emulate sensors, local database where data about sensor models are stored and database in computer cloud which is used to store generated data from sensors.
Internet of things is described in the first chapter, while general attributes of the system are descibed second. Third chapter features sensor models that can be emulated are described, which are followed in the fourth chapter by description of general properties, use cases and architecture of desktop application.

• Keywords: Internet stvari; senzor; aplikacija; emulacija; komunikacija između strojeva; Raspberry Pi; baza podataka
• Keywords (english): Internet of Things; sensor; application; emulation; Machine-to-machine communication; Raspberry Pi; database
• Language: croatian
• URN:NBN: urn:nbn:hr:168:896277
• Study programme: Title: Information and Communication Technology; Study programme type: university; Study level: graduate; Academic / professional title: magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije (magistar/magistra inženjer/inženjerka informacijske i komunikacijske tehnologije)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Closed access
• Created on: 2018-02-06 08:12:21