Edge Computing in IoT: Enhancing Scalability, Efficiency, and Real-Time Decision-Making

Navneet Kapoor

Abstract


This paper explores the paradigm of edge computing within the Internet of Things (IoT) ecosystem, with a focus on its transformative influence on IoT systems. Edge computing brings computation and data processing closer to the data source, allowing for real-time decision-making, reduced latency, and enhanced scalability.

The paper discusses the applications of edge computing in various IoT domains, including smart cities, industrial automation, and autonomous vehicles. It highlights how edge computing is revolutionizing data analytics and enabling efficient resource management.

Challenges associated with edge computing in IoT, such as security, device constraints, and interoperability, are also addressed.

The paper foresees a future where edge computing becomes a central component of IoT architectures, fostering a new era of real-time, data-driven applications and services.

As the convergence of edge computing and IoT continues to shape the technological landscape, this paper offers insights for researchers, engineers, and policymakers aiming to harness the full potential of edge-based IoT systems.


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