Edge Computing in Internet of Things (IoT): Enhancing IoT Ecosystems through Distributed Intelligence

Abstract

This paper explores Edge Computing in the
Internet of Things (IoT) and its pivotal role in
enhancing IoT ecosystems through
distributed intelligence. We present the
architecture of edge computing systems for
IoT, emphasizing edge devices, edge servers,
and seamless cloud integration. Investigating
edge analytics and data processing, we
showcase real-time analysis at the edge,
reducing reliance on distant cloud resources
and enhancing responsiveness. Resource
management strategies, including task
offloading and load balancing, optimize
system performance. Addressing security
concerns, we propose solutions for edge
device security, data privacy, and trust
management. Case studies demonstrate
successful edge computing applications in
diverse IoT scenarios, validating their
transformative impact. Nonetheless,
challenges remain, requiring further
research. In conclusion, "Edge Computing in
the Internet of Things (IoT)" empowers IoT
ecosystems with distributed intelligence,
revolutionizing IoT-driven applications across
domains