A Network Security Transmission Model Based on Improved Sparrow Search Algorithm

With the development of the socio-economic landscape, the demand for electricity supply is steadily increasing. The application of 5G networks in this field has gradually alleviated the supply-demand response issues associated with large-scale distributed power sources. However, the broadcast nature of 5G channels raises concerns about secure data transmission. Addressing these challenges, this paper establishes a collaborative communication model for large-scale Demand Response (DR). Using the distributed power source network as a foundation, a communication system based on Power Line Communication (PLC) and Generic State Machine (GenSM) is proposed. Building on this, a self-adaptive data transmission algorithm based on the sparrow algorithm is proposed. This algorithm uses swarm intelligence for efficient energy management and secure transmission. Simulation results show that, compared to traditional Multiple-Input Multiple-Output (MIMO) models, under specific conditions, the proposed model achieves an energy efficiency improvement of 131% and 69%.