AI-Enhanced Blockchain Consensus Mechanism

AIoTChain integrates AI to optimize blockchain consensus mechanisms, making them more efficient, secure, and scalable for large-scale IoT applications. Traditional blockchain consensus mechanisms (such as PoW) consume excessive computing resources and are unsuitable for low-power IoT devices. AI enhances PoS/DPoS/BFT mechanisms, improving blockchain throughput (TPS) and energy efficiency.

Optimization Strategies

• AI-Powered Malicious Node Detection: AI detects abnormal behaviors in consensus networks to prevent 51% attacks and Sybil attacks.

• Dynamic Consensus Parameter Adjustment: AI optimizes blockchain transaction confirmation speed through real-time load balancing.

• Energy Efficiency Optimization: AI predicts optimal miner/validator allocation, reducing computation overhead and improving PoS efficiency.

Use Cases

• High-Throughput Transactions: AI enables AIoTChain to handle millions of TPS, making it suitable for large-scale IoT data processing.

• IoT Network Security: AI monitors consensus nodes to enhance security and prevent cyberattacks.

• Smart Supply Chains: AI-driven consensus mechanisms enable efficient tracking and automation of supply chain data.