Matching Game Based Multi-User Access Scheme in Power Grid Heterogeneous Wireless Networks

Aiming at the key technical challenge of dynamic selection of heterogeneous networks in smart grid inspection scenarios, this paper innovatively proposes an intelligent network selection scheme that integrates TOPSIS multi-attribute decision-making and bilateral matching game. Existing mainstream technologies have inherent defects such as single index, slow convergence speed, high computational complexity, etc., which are difficult to meet the stringent requirements of realtime, reliability and dynamic adaptability of grid inspection. In this study, a four-dimensional dynamic evaluation system including delay, bandwidth, energy consumption and reliability is constructed, and an improved TOPSIS method is adopted to realize quantitative scoring of network performance; on this basis, a new bilateral matching game model is designed, and a multi-objective optimization function including device priority, network performance index and energy consumption constraints is established, taking into account the QoS demand of the user side and the load state of the network side. The multi-objective optimization function is established. To solve the problem of high complexity of traditional game algorithms, a lightweight distributed implementation scheme is proposed to reduce the computational complexity. Simulation experimental results show that this scheme achieves better results in typical grid inspection scenarios, verifying the efficiency and reliability of the scheme in complex geographic environments.