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Related Experiment Video

Updated: Dec 31, 2025

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Data Query Mechanism Based on Hash Computing Power of Blockchain in Internet of Things.

Yongjun Ren1,2, Fujian Zhu1,2, Pradip Kumar Sharma3

  • 1School of Computer and Software, Engineering Research Center of Digital Forensics, Ministry of Education, Nanjing University of Information Science & Technology, Nanjing 210044, China.

Sensors (Basel, Switzerland)
|January 8, 2020
PubMed
Summary

This study introduces DCOMB, a novel blockchain-based method for querying Internet of Things (IoT) data. DCOMB enhances data interoperability and query performance, outperforming traditional database systems.

Keywords:
IoT datablockchaincloud storagehash query

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Last Updated: Dec 31, 2025

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Area of Science:

  • Computer Science
  • Data Science
  • Blockchain Technology

Background:

  • Internet of Things (IoT) environments generate complex data with low heterogeneity and poor interoperability, hindering data management and value mining.
  • Blockchain of Things (BCoT) offers a promising solution to integrate blockchain with IoT for improved data handling.

Purpose of the Study:

  • To introduce an innovative method, DCOMB (dual combination Bloom filter), for efficient querying of blockchain-based IoT data.
  • To enhance data interoperability and the versatility of IoT database systems by combining IoT data streams with blockchain timestamps.

Main Methods:

  • Developed DCOMB, a dual combination Bloom filter, to convert bitcoin mining computational power into query computational power.
  • Constructed a blockchain-based IoT data query model utilizing the DCOMB method, enabling queries through mining hash calculations.

Main Results:

  • DCOMB query performance demonstrated superior random reading capabilities compared to COMB (combination Bloom filter).
  • DCOMB exhibited a lower error rate than COMB.
  • Both DCOMB and COMB query performance surpassed that of MySQL (My Structured Query Language).

Conclusions:

  • DCOMB effectively addresses challenges in IoT data management and value mining by leveraging blockchain technology.
  • The proposed model significantly improves data interoperability and the versatility of IoT database systems.
  • DCOMB offers a more efficient and accurate querying mechanism for IoT data compared to existing methods.