Dynamic Consensus Algorithm is a mechanism used to achieve agreement among participants in a decentralized network. Unlike static methods, which use fixed rules, this approach adjusts its consensus process based on real-time conditions and network states. The goal is to enhance efficiency, scalability, and security by allowing the system to adapt to varying loads and dynamics. For instance, it can modify how validators are chosen or how transactions are processed based on factors like network congestion or participant performance.These algorithms can incorporate elements such as proof-of-stake or proof-of-work, but they also allow for innovative strategies that enable quicker decision-making and more resilient networks. By being adaptable, a Dynamic Consensus Algorithm aims to improve overall network performance while maintaining trust and reliability among users. This flexibility makes it particularly suitable for environments where conditions change rapidly and where maintaining consensus is critical for the network’s functionality.