Research on Multi-Constraint QoS Routing Based on Improved Whale Algorithm

With the expansion of network scale, the distance between routing nodes increases, and various routing constraints cause significant interference to the optimization process of traditional routing algorithms. To address this issue, based on the DSR routing protocol, this paper proposes a multi-constraint QoS routing algorithm based on an improved whale optimization algorithm. Specifically, the linear convergence factor in the original WOA is adjusted to a nonlinear one, which balances the global exploration capability and local exploitation capability of the algorithm. Additionally, an inertia weight strategy is introduced: this not only accelerates the convergence of the population but also enables the algorithm to escape local optimal solutions in a timely manner. Simulation results demonstrate that the routing protocol based on the improved WOA ensures QoS routing optimization capability and improves the efficiency of optimal path search.