Back to Search
Journal ArticleOpen Access

Optimising Internet of Things (IoT) Performance Through Cloud, Fog and Edge Computing Architecture

Author Affiliations
International University of Business Agriculture and Technology, Sunway University, Rensselaer Polytechnic Institute, Asian University for Women, ...
Published InIET Wireless Sensor Systems
Year2025
Citations3

Abstract

ABSTRACT The Internet of Things (IoT) revolutionises communication systems and enables transformative applications across diverse domains. However, existing reviews often focus on integrating IoT with only one or two computing paradigms—cloud, fog, or edge computing—overlooking the holistic synergy of these architectures. This review bridges that gap by providing a comprehensive analysis of IoT integration with all three paradigms, emphasising their collective potential to address the challenges of scalability, latency, and computational efficiency. The findings highlight that cloud computing ensures scalable storage and processing but struggles with latency‐sensitive IoT applications. Fog computing reduces latency by processing data near the network edge, achieving up to a 40% improvement in response times for real‐time applications. Edge computing complements this by ensuring immediate data…
View at Publisher

BORR does not host full-text PDFs. The button above takes you to the original publisher.