Enhanced Source Location Privacy: A Blockchain-based Flamingo Archery Optimization

The SLP(Source Location Privacy) is a critical issue the IoT environment faces, particularly with sensitive data applications. Traditional SLP algorithms fail to protect source node privacy and balance network performance. Very few works tried to address the multiple assets scenario. We have proposed a novel Flamingo Archery Optimization Algorithm (FAO) to choose an optimal path from generated multiple paths. Fractional Flamingo Optimization Algorithm (FFOA) with blockchain routing is proposed with a focus on providing SLP and balanced energy under multiple source and destination scenarios. We simulated the work using the MATLAB simulator. Our evaluation's results demonstrate the benefits of our strategy, exceeding previous approaches with lower energy dissipation, a maximum safety period of 563491.9 m, a network lifetime of 119.819 s, and an energy consumption of 0.123 J.