Mojtaba Najafi Moghadam - Department of Computer Engineering ImamReza International University
MohammadHossein jafari - Department of Computer Engineering ImamReza International University
Mohammad Nazari Manzari - Department of Computer Engineering ImamReza International University
MohammadHossein Mahrooghi - Department of Computer Engineering ImamReza International University

This document presents a novel approach to alleviate congestion in IoT networks using Genetic Algorithm (GA) which implemented in server node. The GA adapts to varying traffic loads which gradually leads to mitigate the overload on client nodes . The integration of GA within server nodes ensures scalability and real-time responsiveness, satisfying the need of centralized control. The study explores the synergy between GA principles and IoT network congestion, demonstrating improved performance and adaptability through simulations. This GA-based approach contributes to efficient IoT network management, offering a distributed solution to congestion challenges within dynamic IoT environments

congestion control, Genetic Algorithm, Internet of Things(IOT).