Vol. 2 No. 2 (2022): Journal of AI-Assisted Scientific Discovery
Articles

Energy-efficient Consensus Algorithms: Analysing energy-efficient consensus algorithms (e.g., Proof of Stake) to address the environmental impact of blockchain networks

Dr. Chukwuemeka Eneh
Professor of Electrical Engineering, University of Benin, Nigeria
Cover

Published 24-06-2024

Keywords

  • Scalability,
  • Decentralization

How to Cite

[1]
Dr. Chukwuemeka Eneh, “Energy-efficient Consensus Algorithms: Analysing energy-efficient consensus algorithms (e.g., Proof of Stake) to address the environmental impact of blockchain networks”, Journal of AI-Assisted Scientific Discovery, vol. 2, no. 2, pp. 1–7, Jun. 2024, Accessed: Sep. 19, 2024. [Online]. Available: https://scienceacadpress.com/index.php/jaasd/article/view/53

Abstract

Energy consumption in blockchain networks, particularly in the context of consensus algorithms, has become a significant concern due to its environmental impact. This paper investigates energy-efficient consensus algorithms, primarily focusing on Proof of Stake (PoS), as a potential solution to mitigate this impact. The study begins with an overview of the environmental challenges posed by traditional consensus algorithms like Proof of Work (PoW). It then delves into the principles and mechanisms of PoS, highlighting its energy-saving characteristics. The paper further examines the implementation and performance of PoS through case studies and comparative analyses with other consensus mechanisms. Additionally, it discusses the implications of adopting PoS for blockchain networks in terms of scalability, security, and decentralisation. The findings suggest that PoS offers a promising approach to achieve energy efficiency in blockchain networks without compromising on security and decentralisation.

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References

  1. Tatineni, Sumanth. "Customer Authentication in Mobile Banking-MLOps Practices and AI-Driven Biometric Authentication Systems." Journal of Economics & Management Research. SRC/JESMR-266. DOI: doi. org/10.47363/JESMR/2022 (3) 201 (2022): 2-5.
  2. Vemori, Vamsi. "Towards a Driverless Future: A Multi-Pronged Approach to Enabling Widespread Adoption of Autonomous Vehicles-Infrastructure Development, Regulatory Frameworks, and Public Acceptance Strategies." Blockchain Technology and Distributed Systems 2.2 (2022): 35-59.
  3. Mahammad Shaik, et al. “Unveiling the Achilles’ Heel of Decentralised Identity: A Comprehensive Exploration of Scalability and Performance Bottlenecks in Blockchain-Based Identity Management Systems”. Distributed Learning and Broad Applications in Scientific Research, vol. 5, June 2019, pp. 1-22, https://dlabi.org/index.php/journal/article/view/3.
  4. Tatineni, Sumanth. "INTEGRATING AI, BLOCKCHAIN AND CLOUD TECHNOLOGIES FOR DATA MANAGEMENT IN HEALTHCARE." Journal of Computer Engineering and Technology (JCET) 5.01 (2022).