Author: Neha Sharma
Abstract: As the number of IoT devices grows exponentially, the need for low-latency data processing and real-time decision-making becomes critical. Edge computing addresses this challenge by processing data closer to the source, reducing latency, and alleviating the burden on centralized cloud servers. This paper examines the role of edge computing in enhancing the performance of IoT applications in sectors such as healthcare, industrial automation, and smart grids. It explores key edge computing frameworks, architectures, and communication protocols that enable efficient data processing and storage at the edge. The challenges of ensuring data consistency, security, and resource optimization in edge environments are also discussed. The future scope highlights advancements in AI-driven edge analytics, autonomous decision-making, and 5G-enabled edge infrastructure.
Keywords : Edge Computing, IoT Performance, Low-Latency Processing, Edge Analytics, 5G Integration
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