Design and Implementation of a Self Adaptive Architecture for QoS (SAAQ) in IoT based Wireless Networks

Abstract

The rapid growth of Internet of Things (IoT) applications has made ensuring quality of service (QoS) in wireless networks essential. This paper presents the design and implementation of a Self-Adaptive Architecture for QoS (SAAQ) in IoT-based wireless networks, using the NS-2 simulation tool as a foundation for analysis and evaluation. The SAAQ framework is carefully tailored to meet the dynamic demands of IoT applications, enabling real-time adjustment of QoS parameters such as packet delivery ratio, throughput, end-to-end delay, packet loss ratio, energy consumption and routing overhead. By integrating with NS-2, a simulation tool in network research, we conduct extensive simulations and experiments to evaluate the SAAQ's effectiveness in diverse IoT scenarios. This paper explores the adaptability and scalability of the SAAQ architecture and results of experiments reveal the practical benefits of the SAAQ in enhancing QoS in a simulated IoT application over other methods such as AODV, AOMDV, and LEACH.