Edge computing vs edge intelligence: efficiency and real-time decision-making capabilities in IoT systems

Razzakova , Gulora

Techscience.uz - техника фанлари долзарб масалалри · 2025-yil

Annotatsiya

This article provides a comprehensive overview of the role, significance, and application potential of Edge Computing and Edge Intelligence technologies in Internet of Things (IoT) systems. To overcome the limitations of traditional cloud computing architectures, processing data and integrating artificial intelligence at the edge level is presented as a crucial solution. The concept of Edge Intelligence enables IoT devices to operate in real time, reduce network latency, enhance security, and make autonomous decisions. The article also analyzes practical implementations of these technologies in areas such as surveillance cameras, drones, smart homes, agriculture, and retail. The study further addresses existing challenges, technical obstacles, and the development prospects associated with TinyML and 5G technologies.

Maqola ma’lumotlari
MualliflarRazzakova , Gulora
JurnalTechscience.uz - техника фанлари долзарб масалалри
NashriyotЖиззах политехника институти
ISSN3030-3702, 3030-3702
Nashr sanasi2025-06-11
Jild3
Son2
Betlar11-17
TilIngliz
Ilmiy sohaTexnika
DOI10.47390/ts3030-3702v3i2y2025n02
Indeksga qo‘shilgan2026-08-26

DOI: 10.47390/ts3030-3702v3i2y2025n02 · Maqolaning asl sahifasi

Kalit so‘zlar

Internet of Things (IoT), Edge Computing, Edge Intelligence, Artificial Intelligence,Network Latency,Autonomous Systems,TinyML,5G Technology,Smart Devices,Edge Data Processing, Internet of Things (IoT), Edge Computing, Edge Intelligence, Sun’iy intellect, Tarmoq kechikishi, Avtonom tizimlar, TinyML, 5G texnologiyasi, Aqlli qurilmalar, Ma’lumotlarni chekka darajada qayta ishlash.

Ilmiy soha

Texnika

Iqtibos keltirish

APARazzakova , Gulora (2025). EDGE COMPUTING VS EDGE INTELLIGENCE: EFFICIENCY AND REAL-TIME DECISION-MAKING CAPABILITIES IN IOT SYSTEMS. Techscience.uz - техника фанлари долзарб масалалри, 3(2), 11-17. https://doi.org/10.47390/ts3030-3702v3i2y2025n02
GOST (OAK)Razzakova , Gulora EDGE COMPUTING VS EDGE INTELLIGENCE: EFFICIENCY AND REAL-TIME DECISION-MAKING CAPABILITIES IN IOT SYSTEMS // Techscience.uz - техника фанлари долзарб масалалри. – 2025. – T. 3, № 2. – P. 11-17. – DOI: 10.47390/ts3030-3702v3i2y2025n02.
MLARazzakova , Gulora. “EDGE COMPUTING VS EDGE INTELLIGENCE: EFFICIENCY AND REAL-TIME DECISION-MAKING CAPABILITIES IN IOT SYSTEMS.” Techscience.uz - техника фанлари долзарб масалалри, 3(2), 11-17, 2025. https://doi.org/10.47390/ts3030-3702v3i2y2025n02
ChicagoRazzakova , Gulora. “EDGE COMPUTING VS EDGE INTELLIGENCE: EFFICIENCY AND REAL-TIME DECISION-MAKING CAPABILITIES IN IOT SYSTEMS.” Techscience.uz - техника фанлари долзарб масалалри, 3(2), 11-17 (2025). https://doi.org/10.47390/ts3030-3702v3i2y2025n02
HarvardRazzakova , Gulora (2025) ‘EDGE COMPUTING VS EDGE INTELLIGENCE: EFFICIENCY AND REAL-TIME DECISION-MAKING CAPABILITIES IN IOT SYSTEMS’, Techscience.uz - техника фанлари долзарб масалалри, 3(2), 11-17. https://doi.org/10.47390/ts3030-3702v3i2y2025n02
BibTeX
@article{razzakovagulora2025,
  title = {EDGE COMPUTING VS EDGE INTELLIGENCE: EFFICIENCY AND REAL-TIME DECISION-MAKING CAPABILITIES IN IOT SYSTEMS},
  author = {Razzakova , Gulora},
  journal = {Techscience.uz - техника фанлари долзарб масалалри},
  year = {2025},
  volume = {3},
  number = {2},
  pages = {11-17},
  doi = {10.47390/ts3030-3702v3i2y2025n02},
  url = {https://doi.org/10.47390/ts3030-3702v3i2y2025n02}
}

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