An Investigative Analysis of Adaptive Consensus Mechanisms for Distributed Blockchain Systems

INTRODUCTION: Blockchain technology has achieved widespread adoption across diverse application domains, yet its foundational consensus mechanisms remain largely static and may not suited to the dynamic, heterogeneous conditions of modern decentralized networks. While adaptive consensus has emerged as a promising solution, a comprehensive and systematic framework for classifying, evaluating, and selecting adaptive mechanisms remains notably absent.OBJECTIVES: This survey addresses this critical gap by introducing a structured taxonomy of adaptive consensus mechanisms for distributed blockchain systems, underpinned by a systematic review of performance evidence and real- world deployment experiences.METHODS: Following PRISMA 2020 guidelines, we conducted a systematic search of 1,675 records from Scopus (2020– 2025), ultimately including 68 peer-reviewed studies. We analyze four principal categories of adaptive consensus namely dynamic parameter adjustment, consensus algorithm switching, hybrid mechanisms, and AI/ML-enhanced protocols across five key performance dimensions: throughput, scalability, energy efficiency, security level, and implementation complexity. Case studies of SABEC for UAV coordination, 6G cognitive radio spectrum management, and supply chain networks illustrate real-world deployment trade-offs.RESULTS: Our comparative analysis reveals fundamental performance–security trade-offs inherent to each adaptive category. Dynamic parameter adjustment mechanisms offer low implementation complexity but limited scalability gains; algorithm-switching approaches achieve high throughput (100–1,000 TPS) at the cost of very high implementation complexity; hybrid schemes such as HyFlexChain demonstrate 112.5+ TPS under BFT mode with high security but remain at the prototype stage; and AI/ML-enhanced protocols show theoretical promise yet face critical security challenges including adversarial attacks and model poisoning that undermine system trustworthiness. The maturity assessment confirms that higher implementation complexity consistently correlates with limited real-world deployment.CONCLUSION: Our findings demonstrate that no universal adaptive consensus mechanism exists for blockchain applications. This structured, evidence-grounded survey provides an effective methodology for designing, evaluating, and selecting adaptive consensus solutions for diverse decentralized system deployments.