Multi‐criteria gateway selection algorithm for hybrid mobile ad hoc networks

Abstract Under ubiquitous smart environments, the convergence of mobile ad hoc networks (MANET) and infrastructure networks enables new communication patterns. In this hybrid MANET (H‐MANET) platform, gateways critically affect network performance. We address the gateway selection problem by proposing a novel decision mechanism that considers multiple metrics. Using a multi‐criteria decision method and bargaining game theory, we develop a novel gateway selection algorithm. First, routing paths are discovered. Second, decision criteria—route distance, queue length, connectivity degree, and link complexity—are evaluated. Third, each gateway's adaptability is assessed through the combination of Kalai–Smorodinsky and Nash bargaining solutions. Finally, the most adaptable gateway is selected for data transmission. Our main contribution is integrating both bargaining solutions' concepts for multi‐criteria‐based gateway selection. Simulation results demonstrate the performance benefits of our proposed approach over existing methods. The proposed method can also address other real‐world multi‐criteria decision problems.