It is essential to choose the best fire rescue paths in the fire. By taking the advantage of both the Particle Swarm Optimization (PSO) algorithm and the Grey Wolf Optimizer (GWO) algorithm, a novel Hybrid PSO-Improved GWO (HPSO-IGWO) algorithm for rapidly searching fire rescue paths based on the IoT architecture. Firstly, hybrid particles based on the PSO algorithm and the GWO algorithm are proposed to make the process optimization of these two algorithms. Secondly, the hybrid particles are utilized to search for the optimal fire rescue paths. This not only provides a decision basis for choosing the optimal rescue path in the fire, but also provides theoretical support for the emergency rescue system, and greatly reduces the number of fire casualties. Finally, the experiment is executed for verifying the effectiveness of our proposed HPSO-GWO algorithm.