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Meritve zmogljivosti NB-IoT v realnem okolju
ID Kastelic, Jan (Author), ID Burnik, Urban (Mentor) More about this mentor... This link opens in a new window

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Abstract
V diplomski nalogi se osredotočamo na raziskavo delovanja in analizo uspešnosti tehnologije Narrowband Internet of Things (NB-IoT) v kontekstu merjenja hitrosti v navzdolnji (DL) in navgornji (UL) smeri. NB-IoT je priljubljena tehnologija za komunikacijo v omrežjih interneta stvari (IoT) z nizko porabo energije, ki je zasnovana za širok obseg in povezavo velikega števila naprav. V nalogi smo izvedli obsežen niz meritev, da bi ocenili zmogljivost in zanesljivost NB-IoT omrežja pri prenosu podatkov v obe smeri. Preučevali smo različne ključne metrike, kot so prenosna hitrost, zakasnitev in izguba paketov, da bi razumeli vpliv različnih dejavnikov na uspešnost omrežja. Z rezultati raziskave smo pokazali, da je tehnologija NB-IoT v smeri DL zmožna učinkovito dostavljati podatke napravam z razmeroma dobro hitrostjo in zanesljivostjo, v smeri UL pa dosegamo nekoliko nižje hitrosti, kar lahko vpliva na aplikacije, ki zahtevajo večji prenos podatkov iz naprav. V nadaljevanju predlagamo uporabo večjega vzorca podatkov in različnih scenarijev meritev za bolj zanesljive in celovite rezultate. Raziskava in analiza v tej diplomski nalogi bosta pomembna prispevka k nadaljnjemu razvoju in uporabi NB-IoT tehnologije za IoT aplikacije. Na podlagi pridobljenih ugotovitev bomo lahko izboljšali delovanje omrežij in zagotovili učinkovito povezljivost za številne naprave IoT v prihodnosti.

Language:Slovenian
Keywords:NB-IoT, meritve hitrosti prenosa podatkov, zmogljivost omrežja, Internet stvari
Work type:Bachelor thesis/paper
Organization:FE - Faculty of Electrical Engineering
Year:2023
PID:20.500.12556/RUL-149130 This link opens in a new window
COBISS.SI-ID:164289283 This link opens in a new window
Publication date in RUL:04.09.2023
Views:613
Downloads:37
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Secondary language

Language:English
Title:Measurements of NB-IoT performance in a real environment
Abstract:
The thesis focuses on performance research and performance analysis of narrowband Internet of Things (NB-IoT) technology in the context of speed measurement in DL and UL directions. NB-IoT is a popular low-power Internet of Things (IoT) communication technology designed for large scale and connectivity of large numbers of devices. In the assignment, we performed an extensive set of measurements to evaluate the performance and reliability of the NB-IoT network in both directions. We studied various key metrics such as transmission speed, latency and packet loss to understand the impact of various factors on network performance. Research results have shown that NB-IoT technology in the DL direction can effectively transmit data to devices with good speed and reliability, but in the UL direction it has some lower speeds that may affect applications that require more data transfer from the device. In the following, I also suggest using a larger sample of data in different measurement scenarios for more reliable and comprehensive results. The research and analysis in this thesis will be an important contribution to further developments in the use of NB-IoT technologies for IoT applications. Based on the findings, we will be able to improve network performance and secure efficient connectivity for all IoT devices in the future.

Keywords:NB-IoT, data transfer rate measurements, network capacity, Internet of things

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