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IoT Data Qualification for a Logistic Chain Traceability Smart Contract.

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Summary
This summary is machine-generated.

This study introduces a blockchain-based smart contract to assess the data quality (DQ) of Internet of Things (IoT) devices in logistic traceability. The method ensures accurate and trusted data for automated logistic systems.

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Area of Science:

  • Logistics and Supply Chain Management
  • Information Technology
  • Blockchain Technology

Background:

  • Supply chain traceability involves multiple stakeholders, requiring transparent data for contractual decisions.
  • Internet of Things (IoT) and blockchain offer potential for automated, trusted logistic systems.
  • Ensuring the quality of IoT data is critical for adopting these advanced technologies.

Purpose of the Study:

  • To propose and evaluate an approach for assessing the data quality (DQ) of IoT data sources in logistic traceability.
  • To develop a logistic traceability smart contract on a blockchain for automated data quality assessment.
  • To establish a data quality model and distributed architecture tailored for the logistic chain domain.

Main Methods:

  • Developed a logistic traceability smart contract on a blockchain.
  • Selected and defined relevant data quality dimensions: accuracy, completeness, consistency, and currentness.
  • Proposed measurement methods for selected data quality dimensions.
  • Designed a distributed traceability architecture for the logistic chain.

Main Results:

  • The proposed method effectively assesses the data quality of IoT data sources.
  • The system ensures user agreement on data qualification rules.
  • Demonstrated the capacity of the blockchain-based approach for reliable data quality assessment.

Conclusions:

  • The developed approach enhances the trustworthiness of IoT data in logistic traceability.
  • The proposed solution facilitates the development of automated and reliable logistic traceability systems.
  • This work opens new avenues for leveraging blockchain and IoT in supply chain management.