Edge Computing: Enhancing IoT Applications with Real-Time Data Processing

Authors

  • Pat Robinson PhD
  • Adrian Miller Dr.
  • Dana Gonzalez Prof.

Keywords:

Edge Computing, Internet of Things, Real-Time Data Processing, Smart Cities, Autonomous Vehicles

Abstract

Edge computing is reshaping the Internet of Things (IoT) landscape by bringing computation and data storage closer to the data source. This article explores how edge computing enables real-time data processing, reduces latency, and enhances the performance of IoT applications. The paper highlights key use cases in smart cities, industrial IoT, and autonomous vehicles. By distributing computational tasks to the edge of the network, businesses can achieve greater efficiency and responsiveness, paving the way for new innovations in IoT solutions.

Author Biographies

Pat Robinson, PhD

PhD
National University of Singapore
21 Lower Kent Ridge Rd, Singapore 119077

Adrian Miller, Dr.

Dr.
Technical University of Denmark
Anker Engelunds Vej 1 Bygning 101A, 2800 Kongens Lyngby, Denmark

Dana Gonzalez, Prof.

Prof.
Norwegian University of Science and Technology
Høgskoleringen 1, 7491 Trondheim, Norway

References

KUMAR, Nitin; KATARIA, Vipin. Enhanced Sentiment Classification using a Multi-layered Stacked Ensemble Architecture.

Рагимов, Э. Р. О. (2011). Метрология элементов безопасности программных комплексов, реализующих систему защиты информации корпоративных сетей. Вопросы защиты информации, (2), 36-41.

Published

2024-12-25

Issue

Section

Articles