Edge Computing and its Role in IoT: Analyze how Edge Computing is Transforming IoT by Processing Data at the Edge of the Network, Reducing Latency and Enhancing Data Security

Abstract

An age of technological revolution has begun as a result of the Internet of Things (IoT) explosive growth, in which billions of gadgets gather and exchange data over several networks. The conventional cloud- centric approach of data processing faces substantial hurdles as Internet of Things (IoT) devices become more sophisticated and data-intensive. These challenges include high latency, bandwidth limits, and privacy concerns. By decentralizing data processing and moving it closer to the data source—the network's edge—edge computing emerges as a crucial solution. This study examines how edge computing is revolutionizing the Internet of Things by examining three of its main benefits: lower latency, better data security, and increased bandwidth economy. Edge computing expedites response times, strengthens data security, and maximizes network use by processing data locally. The fundamentals of edge computing, implementation difficulties, and prospective advancements that might further integrate edge computing with sophisticated IoT systems are all covered in the talk. In addition to changing IoT environments, this investigation seeks to demonstrate how edge computing is essential to real- time, safe, and effective data processing in an increasingly interconnected world.