Haq, Hina Binte, Ali, Syed Taha, Salman, Asad et al. (2 more authors) (2024) Neonpool: Reimagining cryptocurrency transaction pools for lightweight clients and IoT devices. [Preprint]
Abstract
The transaction pool plays a critical role in processing and disseminating transactions in cryptocurrency networks. However, increasing transaction loads strain the resources of full node deployments. We present Neonpool, an innovative transaction pool optimization using bloom filter variants, which reduces the memory footprint of the transaction pool to a fraction. Implemented in C++ and benchmarked using a unique Bitcoin and Ethereum dataset, our solution verifies and forwards transactions with over 99.99% accuracy and does not necessitate a hard fork. Neonpool is ideally suited for lightweight cryptocurrency clients and for resource-constrained devices such as browsers, systems-on-a-chip, mobile or IoT devices.
Metadata
Item Type: | Preprint |
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Authors/Creators: |
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Keywords: | Cryptocurrencies,Transaction pool (txpool),Memory Pool (mempool),full node,IoT,lightweight client,memory |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Depositing User: | Pure (York) |
Date Deposited: | 22 Apr 2025 15:50 |
Last Modified: | 31 May 2025 07:40 |
Published Version: | https://doi.org/10.48550/arXiv.2412.16217 |
Status: | Published |
Publisher: | arXiv |
Identification Number: | 10.48550/arXiv.2412.16217 |
Sustainable Development Goals: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:225630 |