Energy-Efficient Consensus Algorithms for Sustainable Blockchain Networks

Authors

  • Ayush Kumar Mishra Institute of Technology, Roorkee.
  • Ankush Kumar Institute of Technology, Roorkee.

Keywords:

Blockchain, Energy Efficiency, Consensus Algorithms, Sustainable Computing, Proof-of-Stake, Hybrid Consensus, Green Blockchain.

Abstract

Blockchain technology has provided the transformation of a decentralized system as the concept can make transparency, immutability, and security available without centralized authorities. However, standard algorithms of consensus such as Proof-of-Work (PoW) consume excessive resources and energy with the cost of sustainability, and limiting the scalability of the blockchain and its performance in the environment. The energy efficient consensus algorithm has turned out to be an axiom in limiting the challenges and also protecting the network security and, performance. They are Proof-of-Stake (PoS), Practical Byzantine Fault Tolerance (PBFT), Delegated Proof-of-Stake (DPoS), hybrid consensus and adaptive validation techniques to reduce energy consumption and enhance throughput. Recent work has been done on streamlining selections of the validators to be more efficient, minimize pointless calculations and integrate crafty resource control in order to enhance the performance of consent [15]. It is presumed in the study that energy efficiency research will be conducted through consensus research consolidation based on adaptive validation, participation and weighted node of the consensus strategy that allows optimization in terms of sustainability. The methodology evaluates the energy consumption, throughput and latency and scalability together on behalf of simulated blockchain environments. The facts of the experiment results indicate that the specified framework can be used to reduce the number of energies consumed and guarantee the high degree of security and performance. The results confirm that the implementation of optimal consensus algorithms can be used to provide sustainable blockchain in such tools as IoT, healthcare, and supply chain. The current research contributes to the development of environmentally safe blockchain chains on an efficient consensus innovation.

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Published

2026-05-24

How to Cite

Mishra, A. K., & Kumar, A. (2026). Energy-Efficient Consensus Algorithms for Sustainable Blockchain Networks. International Journal of Artificial Intelligence and Machine Learning, 6(3s), 359–368. Retrieved from https://www.svedbergopen.com/index.php/ijaiml/article/view/357