The Application of a Novel FMRA Algorithm in Wireless Blockchain Communication

This paper proposes an innovative Fixed Mean Rebasing Algorithm (FMRA) aimed at significantly enhancing the communication efficiency of wireless blockchain networks, particularly in reducing conflicts and network delays during blockchain transactions. The FMRA employs a strategy of dynamically adjusting backoff times, discarding the fixed minimum contention window setting of traditional algorithms. Instead, it periodically updates the mean backoff time based on an equilibrium function that maximizes expected benefits, enabling flexible adaptation to dynamic changes in network conditions.Through simulation experiments, the performance of FMRA was compared with that of Binary Exponential Backoff (BEB), Fixed Backoff Algorithm (FBA), and Linear Backoff Algorithm (LBA). The results demonstrate that FMRA exhibits clear advantages in reducing block dropping rates and shortening average network delays, showcasing its stability and efficiency under various network load conditions. This validates the effectiveness and broad application prospects of the FMRA in blockchain-based wireless communications.