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P-sharding: Streamline Emergency Medical Transactions via Priority Sharding

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Ad Hoc Networks and Tools for IT (ADHOCNETS 2021, TridentCom 2021)

Abstract

In recent years, several blockchain-based access control models have been emerged to give individuals control over their sensitive Electronic Medical Records (EMRs) in the healthcare sector. From our extensive literature review, we observe that currently, these models have no provision of prioritising the emergency transactions. This critically affects the quick and streamline sharing of EMRs in a multi-domain network environment. Further, it restricts the optimal usage of blockchain network affecting scalability. Sharding has arisen as a viable option for addressing the issue of blockchain’s scalability and performance. Motivated from this, in this paper, we first propose prioritised sharding (P-sharding), a novel mechanism to streamline the processing of priority or emergency transactions in blockchain-based access control models by improving the throughput of each prioritised shard, in the context of multi-domain healthcare networks. Finally, the performance of the model is verified, validated, and also compared with the existing sharding mechanism. The obtained results are promising and encourage to further sparkle this direction.

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Notes

  1. 1.

    https://github.com/ethereum/sharding.

  2. 2.

    https://etherscan.io/.

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Authors and Affiliations

  1. Deakin Blockchain Innovation Lab, School of Information Technology, Geelong, Australia

    Akanksha Saini

  2. Department of Information, Communication and Electronics Engineering, Catholic University of Korea, Seoul, South Korea

    Navneesh Kaur & Navneet Singh

  3. School of Information Technology, Deakin University, Geelong, Australia

    Dimaz Wijaya

Authors
  1. Akanksha Saini
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  2. Navneesh Kaur
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  3. Navneet Singh
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  4. Dimaz Wijaya
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Corresponding author

Correspondence to Akanksha Saini .

Editor information

Editors and Affiliations

  1. School of Computer Science, University of Sydney, Camperdown, NSW, Australia

    Wei Bao

  2. Monash University, Clayton, VIC, Australia

    Xingliang Yuan

  3. School of Information Technology, Deakin University, Mont Albert, VIC, Australia

    Longxiang Gao

  4. School of Cyber Engineering, Xidian University, Xi'an, China

    Tom H. Luan

  5. School of Electronic Engineering, School of Computer Science and Engineering, Soongsil University, Dongjak, Seoul, Korea (Republic of)

    David Bong Jun Choi

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Saini, A., Kaur, N., Singh, N., Wijaya, D. (2022). P-sharding: Streamline Emergency Medical Transactions via Priority Sharding. In: Bao, W., Yuan, X., Gao, L., Luan, T.H., Choi, D.B.J. (eds) Ad Hoc Networks and Tools for IT. ADHOCNETS TridentCom 2021 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 428. Springer, Cham. https://doi.org/10.1007/978-3-030-98005-4_18

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  • DOI: https://doi.org/10.1007/978-3-030-98005-4_18

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-98004-7

  • Online ISBN: 978-3-030-98005-4

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