Unveiling Decentralization: A Comprehensive Review of Technologies, Comparison, Challenges in Bitcoin, Ethereum, and Solana Blockchain (2404.04841v1)
Abstract: Bitcoin stands as a groundbreaking development in decentralized exchange throughout human history, enabling transactions without the need for intermediaries. By leveraging cryptographic proof mechanisms, Bitcoin eliminates the reliance on third-party financial institutions. Ethereum, ranking as the second-largest cryptocurrency by market capitalization, builds upon Bitcoin's groundwork by introducing smart contracts and decentralized applications. Ethereum strives to surpass the limitations of Bitcoin's scripting language, achieving full Turing-completeness for executing intricate computational tasks. Solana introduces a novel architecture for high-performance blockchain, employing timestamps to validate decentralized transactions and significantly boosting block creation throughput. Through a comprehensive examination of these blockchain technologies, their distinctions, and the associated challenges, this paper aims to offer valuable insights and comparative analysis for both researchers and practitioners.
- H. Song, C. Liu, and H. Dai, “Bundledslam: An accurate visual slam system using multiple cameras,” arXiv preprint arXiv:2403.19886, 2024.
- M. Xanthidis, B. Joshi, M. Roznere, W. Wang, N. Burgdorfer, A. Q. Li, P. Mordohai, S. Nelakuditi, and I. Rekleitis, “Towards mapping of underwater structures by a team of autonomous underwater vehicles,” in The International Symposium of Robotics Research. Springer, 2022, pp. 170–185.
- M. Xanthidis, B. Joshi, N. Karapetyan, M. Roznere, W. Wang, J. Johnson, A. Quattrini Li, J. Casana, P. Mordohai, S. Nelakuditi et al., “Towards multi-robot shipwreck mapping,” in Advanced Marine Robotics Technical Committee Workshop on Active Perception at IEEE International Conference on Robotics and Automation (ICRA), 2021.
- Z. Chen, M. Fernando, and L. Liu, “A visual feature based obstacle avoidance method for autonomous navigation,” in 2019 IEEE Applied Imagery Pattern Recognition Workshop (AIPR). IEEE, 2019, pp. 1–7.
- F. Lin, X. Yuan, Y. Zhang, P. Sigdel, L. Chen, L. Peng, and N.-F. Tzeng, “Comprehensive transformer-based model architecture for real-world storm prediction,” in Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Springer, 2023, pp. 54–71.
- F. Lin, S. Crawford, K. Guillot, Y. Zhang, Y. Chen, X. Yuan, L. Chen, S. Williams, R. Minvielle, X. Xiao, D. Gholson, N. Ashwell, T. Setiyono, B. Tubana, L. Peng, M. Bayoumi, and N.-F. Tzeng, “Mmst-vit: Climate change-aware crop yield prediction via multi-modal spatial-temporal vision transformer,” in Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), October 2023, pp. 5774–5784.
- S. Nakamoto, “Bitcoin whitepaper,” URL: https://bitcoin. org/bitcoin. pdf-(: 17.07. 2019), vol. 9, p. 15, 2008.
- L. Cao, “Decentralized ai: Edge intelligence and smart blockchain, metaverse, web3, and desci,” IEEE Intelligent Systems, vol. 37, no. 3, pp. 6–19, 2022.
- J. W. Bos, J. A. Halderman, N. Heninger, J. Moore, M. Naehrig, and E. Wustrow, “Elliptic curve cryptography in practice,” in Financial Cryptography and Data Security: 18th International Conference, FC 2014, Christ Church, Barbados, March 3-7, 2014, Revised Selected Papers 18. Springer, 2014, pp. 157–175.
- N. T. Courtois, M. Grajek, and R. Naik, “Optimizing sha256 in bitcoin mining,” in Cryptography and Security Systems: Third International Conference, CSS 2014, Lublin, Poland, September 22-24, 2014. Proceedings 3. Springer, 2014, pp. 131–144.
- S. Delgado-Segura, C. Pérez-Sola, G. Navarro-Arribas, and J. Herrera-Joancomartí, “Analysis of the bitcoin utxo set,” in Financial Cryptography and Data Security: FC 2018 International Workshops, BITCOIN, VOTING, and WTSC, Nieuwpoort, Curaçao, March 2, 2018, Revised Selected Papers 22. Springer, 2019, pp. 78–91.
- D. Fullmer and A. S. Morse, “Analysis of difficulty control in bitcoin and proof-of-work blockchains,” in 2018 IEEE conference on decision and control (CDC). IEEE, 2018, pp. 5988–5992.
- A. Meynkhard, “Fair market value of bitcoin: Halving effect,” Investment Management & Financial Innovations, vol. 16, no. 4, p. 72, 2019.
- K. J. O’Dwyer and D. Malone, “Bitcoin mining and its energy footprint,” 2014.
- V. P. Ranganthan, R. Dantu, A. Paul, P. Mears, and K. Morozov, “A decentralized marketplace application on the ethereum blockchain,” in 2018 IEEE 4th International Conference on Collaboration and Internet Computing (CIC). IEEE, 2018, pp. 90–97.
- R. O’Connor, “Simplicity: A new language for blockchains,” in Proceedings of the 2017 Workshop on Programming Languages and Analysis for Security, 2017, pp. 107–120.
- G. Wood et al., “Ethereum: A secure decentralised generalised transaction ledger,” Ethereum project yellow paper, vol. 151, no. 2014, pp. 1–32, 2014.
- A. Donmez and A. Karaivanov, “Transaction fee economics in the ethereum blockchain,” Economic Inquiry, vol. 60, no. 1, pp. 265–292, 2022.
- W. Metcalfe et al., “Ethereum, smart contracts, dapps,” Blockchain and Crypt Currency, vol. 77, pp. 77–93, 2020.
- C. T. Nguyen, D. T. Hoang, D. N. Nguyen, D. Niyato, H. T. Nguyen, and E. Dutkiewicz, “Proof-of-stake consensus mechanisms for future blockchain networks: fundamentals, applications and opportunities,” IEEE access, vol. 7, pp. 85 727–85 745, 2019.
- A. Yakovenko, “Solana: A new architecture for a high performance blockchain v0. 8.13,” Whitepaper, 2018.