Skip to main content

A Novel Blockchain Network Structure Based on Logical Nodes

  • Conference paper
  • First Online:
Wireless Algorithms, Systems, and Applications (WASA 2020)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 12384))

Abstract

With the continuous maturity and evolution of blockchain, applying blockchain to edge computing has increasingly become a trend, and also brings many great challenges. For the traditional blockchain structure, each peer node of blockchain network stores exactly the same content, which leads to strong data redundancy and excessive storage capacity is wasted. In this paper, we propose a novel blockchain network structure to reduce the storage occupation for blockchain node, which combine multiple physical nodes into one logical node and try to ensure that the storage capacity between the logical nodes is similar. The experimental simulation results show that the proposed new blockchain network structure can effectively reduce the storage usage of physical nodes and decrease the difficulty to deploy blockchain to the edge network.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Chen, N., Qiu, T., Zhou, X., Li, K., Atiquzzaman, M.: An intelligent robust networking mechanism for the Internet of Things. IEEE Commun. Mag. 57(11), 91–95 (2019)

    Article  Google Scholar 

  2. Conti, M., Sandeep Kumar, E., Lal, C., Ruj, S.: A survey on security and privacy issues of bitcoin. IEEE Commun. Surv. Tutor. 20(4), 3416–3452 (2018)

    Article  Google Scholar 

  3. Eyal, I., Gencer, A.E., Sirer, E.G., Renesse, R.V.: Bitcoin-NG: a scalable blockchain protocol. In: 13th USENIX Symposium on Networked Systems Design and Implementation (NSDI 2016), pp. 45–59. USENIX Association, Santa Clara, CA, March 2016

    Google Scholar 

  4. Hanke, T., Movahedi, M., Williams, D.: DFINITY technology overview series, consensus system. CoRR abs/1805.04548 (2018)

    Google Scholar 

  5. Kokoris-Kogias, E., Jovanovic, P., Gailly, N., Khoffi, I., Gasser, L., Ford, B.: Enhancing bitcoin security and performance with strong consistency via collective signing. In: Holz, T., Savage, S. (eds.) 25th USENIX Security Symposium, USENIX Security 16, Austin, TX, USA, 10–12 August 2016, pp. 279–296. USENIX Association (2016)

    Google Scholar 

  6. Liu, Y., Wang, K., Lin, Y., Xu, W.: LightChain: a lightweight blockchain system for industrial Internet of Things. IEEE Trans. Ind. Inform. 15(6), 3571–3581 (2019)

    Article  Google Scholar 

  7. Pass, R., Shi, E.: FruitChains: a fair blockchain. In: Schiller, E.M., Schwarzmann, A.A. (eds.) Proceedings of the ACM Symposium on Principles of Distributed Computing (PODC 2017), Washington, DC, USA, 25–27 July 2017, pp. 315–324. ACM (2017)

    Google Scholar 

  8. Popov, S.: The tangle, April 2018. https://iota.org/IOTA_Whitepaper.pdf

  9. Qiu, T., Li, B., Qu, W., Ahmed, E., Wang, X.: TOSG: a topology optimization scheme with global small world for industrial heterogeneous Internet of Things. IEEE Trans. Ind. Inform. 15(6), 3174–3184 (2019)

    Article  Google Scholar 

  10. Qiu, T., Liu, J., Si, W., Wu, D.O.: Robustness optimization scheme with multi-population co-evolution for scale-free wireless sensor networks. IEEE/ACM Trans. Netw. 27(3), 1028–1042 (2019)

    Article  Google Scholar 

  11. Tschorsch, F., Scheuermann, B.: Bitcoin and beyond: a technical survey on decentralized digital currencies. IEEE Commun. Surv. Tutor. 18(3), 2084–2123 (2016)

    Article  Google Scholar 

  12. Tuli, S., Mahmud, R., Tuli, S., Buyya, R.: FogBus: a blockchain-based lightweight framework for edge and fog computing. J. Syst. Softw. 154, 22–36 (2019)

    Article  Google Scholar 

  13. Vizier, G., Gramoli, V.: ComChain: bridging the gap between public and consortium blockchains. In: 2018 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), pp. 1469–1474 (2018)

    Google Scholar 

  14. Zheng, Z., Xie, S., Dai, H., Chen, X., Wang, H.: An overview of blockchain technology: architecture, consensus, and future trends. In: 2017 IEEE International Congress on Big Data (BigData Congress), pp. 557–564 (2017)

    Google Scholar 

  15. Zhu, S., Cai, Z., Hu, H., Li, Y., Li, W.: zkCrowd: a hybrid blockchain-based crowdsourcing platform. IEEE Trans. Ind. Inform. 16(6), 4196–4205 (2020)

    Article  Google Scholar 

  16. Zhu, S., Li, W., Li, H., Tian, L., Luo, G., Cai, Z.: Coin hopping attack in blockchain-based IoT. IEEE IoT J. 6(3), 4614–4626 (2019)

    Google Scholar 

Download references

Acknowledgements

This work is supported by the National Key R&D Program of China (No. 2019YFB1703601), National Natural Science Foundation of China (No. 61672131), and the new Generation of Artificial Intelligence Science and Technology Major Project of Tianjin (No. 19ZXZNGX00010).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tie Qiu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Chi, J., Qiu, T., Zhang, C., Zhao, L. (2020). A Novel Blockchain Network Structure Based on Logical Nodes. In: Yu, D., Dressler, F., Yu, J. (eds) Wireless Algorithms, Systems, and Applications. WASA 2020. Lecture Notes in Computer Science(), vol 12384. Springer, Cham. https://doi.org/10.1007/978-3-030-59016-1_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-59016-1_6

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-59015-4

  • Online ISBN: 978-3-030-59016-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics