Performance Comparison of AI-Based Networks Vs Traditional Networks – An Intelligent Framework for Evaluating Modern Network Optimization Techniques

Abstract

Artificial Intelligence (AI) plays a crucial role in the development of smart sustainable cities by enabling efficient management of urban resources and improving the quality of life for citizens. Smart cities utilize advanced technologies such as machine learning, Internet of Things (IoT), big data analytics, and intelligent automation to enhance infrastructure, transportation, healthcare, energy systems, and environmental management.
This research paper explores the role of Artificial Intelligence in transforming traditional urban systems into intelligent, sustainable, and eco-friendly environments. AI-based solutions help optimize traffic management, reduce energy consumption, improve waste management, monitor environmental conditions, and enhance public safety.
The proposed framework demonstrates how AI can be integrated into city management systems using structured data collection, real-time monitoring, and predictive analytics. The study also discusses challenges such as data privacy, infrastructure cost, and ethical concerns associated with AI adoption. The results indicate that AI-driven smart city systems significantly improve resource efficiency, sustainability, and urban living standards.