K-G Algorithm in Non-Cooperative Game Power Control for Cognitive Radio Systems
K-G Algorithm Implementation for Power Control Optimization in Cognitive Radio Non-Cooperative Game Scenarios
Cognitive Radio Distributed Power Control Non-cooperative Game Nash Equilibrium Implementation
Implementation of Nash Equilibrium in cognitive radio distributed power control non-cooperative games based on price functions with comparative analysis against DPC (Distributed Power Control) methods, featuring algorithm design and key function implementations
Non-Cooperative Game-Based Power Control Technology for Wireless Sensor Networks
Application Background: Power control modeling in Wireless Sensor Networks (WSN) using game theory principles. WSN routing technology leverages node collaboration for data transmission, ensuring network reliability while minimizing individual node energy consumption and balancing overall network energy usage to extend network lifespan. Key Technology: Non-cooperative game-based power control technique in WSN reduces energy consumption and optimizes network performance. Energy efficiency is among the most critical features of sensor nodes - both energy consumption and routing design must be considered during WSN construction to prolong node longevity. Implementation involves utility function design, Nash equilibrium computation, and distributed power adjustment algorithms.