Latency-Aware Enhanced ECC Framework for QoS Optimization in IoT-Driven Smart Cities

Abstract

Smart cities rely heavily on Internet of Things (IoT) infrastructures to deliver real-time, reliable, and high-throughput services across domains such as traffic management, healthcare, energy distribution, and public safety. However, ensuring Quality of Service (QoS) in such heterogeneous and large-scale environments remains a critical challenge, especially under stringent security requirements. This article evaluates the impact of an Enhanced Elliptic Curve Cryptography (ECC) model on QoS parameters in IoT-enabled smart city ecosystems. The proposed model introduces optimized key management, lightweight encryption, and adaptive authentication mechanisms tailored for constrained IoT devices. QoS performance is assessed in terms of latency, throughput, and reliability, and a comparative analysis is conducted between system performance before and after the implementation of the enhanced ECC model. Experimental results demonstrate that the proposed model significantly reduces communication latency, improves throughput, and enhances system reliability while maintaining strong cryptographic security. The findings validate the suitability of the enhanced ECC framework for secure and QoS-aware smart city applications.