• R.Yanitha
• Dr.M.Logambal

The rapid expansion of the Internet of Things (IoT) has introduced significant challenges in ensuring efficient and reliable routing in dynamic and resource-constrained environments. Quality of Service (QoS) plays a critical role in maintaining seamless communication, particularly in applications requiring low latency, high throughput, and energy efficiency. This study presents a comparative analysis of two bio-inspired optimization algorithms—Grey Wolf Optimizer (GWO) and Particle Swarm Optimization (PSO)—for optimizing IoT routing performance. The evaluation is conducted across key QoS metrics, including end-to-end delay, packet delivery ratio (PDR), throughput, energy consumption, and routing overhead. Simulation results highlight the strengths and weaknesses of both algorithms, with GWO demonstrating superior performance in energy efficiency and delay minimization, while PSO exhibits advantages in throughput and delivery ratio. The findings provide valuable insights into algorithm selection for diverse IoT network scenarios, contributing to the design of adaptive and QoS-aware routing protocols for next-generation IoT systems.

IoT Routing; Quality of Service (QoS); Grey Wolf Optimizer (GWO); Particle Swarm Optimization (PSO); Energy Efficiency; Packet Delivery Ratio; End-to-End Delay; Routing Overhead; Throughput

"Optimizing IoT Routing for Quality of Service: A Comparative Study of Grey Wolf Optimizer and Particle Swarm Optimization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 11, page no.e687-e693, November-2025, Available :http://www.jetir.org/papers/JETIR2511487.pdf

"Optimizing IoT Routing for Quality of Service: A Comparative Study of Grey Wolf Optimizer and Particle Swarm Optimization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 11, page no. ppe687-e693, November-2025, Available at : http://www.jetir.org/papers/JETIR2511487.pdf