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Performance enhancement in blockchain based IoT data sharing using lightweight consensus algorithm.

Ehtisham Ul Haque1, Waseem Abbasi2, Ahmad Almogren3

  • 1Department of Computer Science, COMSATS University Islamabad, Abbottabad Campus, 22200, Islamabad, Pakistan.

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Summary
This summary is machine-generated.

This study enhances Internet of Things (IoT) data security using blockchain with Delegated Proof of Stake (DPoS) and sharding. The approach improves system throughput and scalability for constrained IoT networks.

Keywords:
BlockchainConsensus algorithmData storageInternet of thingsParallel executionScalabilityShardingSmart contract

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Distributed Systems

Background:

  • Internet of Things (IoT) devices generate massive data, posing security risks with centralized systems.
  • Blockchain offers decentralized data security but faces performance and scalability challenges in IoT.
  • Existing blockchain consensus protocols struggle to balance transparency, integrity, and scalability for IoT.

Purpose of the Study:

  • To enhance the scalability and performance of blockchain technology for Internet of Things (IoT) networks.
  • To address the limitations of traditional consensus mechanisms in decentralized IoT data management.
  • To introduce and evaluate a novel approach combining Delegated Proof of Stake (DPoS) and sharding for blockchain-based IoT.

Main Methods:

  • Implementation of the Delegated Proof of Stake (DPoS) consensus algorithm.
  • Integration of sharding techniques to improve blockchain network capacity.
  • Experimental evaluation of system throughput, latency, and transaction processing times under varying loads.
  • Comparison with existing edge computing-based approaches.

Main Results:

  • System throughput increases proportionally with the test load.
  • A tradeoff exists between throughput, latency, and Inter Planetary File System (IPFS) up-downstream time.
  • The DPoS and sharding approach demonstrates high throughput, parallel processing, and robust security.
  • Maximum throughput achieved was approximately 11.094 ms at 500 Transactions Per Second (TPS).
  • Processing time extended to 11.205 ms beyond 2000 TPS, indicating efficient scaling.
  • Superior throughput performance compared to previous edge computing solutions.

Conclusions:

  • The proposed DPoS and sharding method significantly enhances blockchain scalability for IoT networks.
  • This approach offers a viable solution for secure and efficient data management in resource-constrained IoT environments.
  • The findings highlight the effectiveness of DPoS in achieving high throughput and parallel processing for IoT applications.