Next Article in Journal
Autonomous Learning of New Environments with a Robotic Team Employing Hyper-Spectral Remote Sensing, Comprehensive In-Situ Sensing and Machine Learning
Next Article in Special Issue
Modbus Access Control System Based on SSI over Hyperledger Fabric Blockchain
Previous Article in Journal
Camera-Based Monitoring of Neck Movements for Cervical Rehabilitation Mobile Applications
Previous Article in Special Issue
Proof-of-PUF Enabled Blockchain: Concurrent Data and Device Security for Internet-of-Energy
 
 
Article

IoT Data Qualification for a Logistic Chain Traceability Smart Contract

1
ALIS International, 4 Rue du Meunier, 95724 Roissy-en-France, France
2
Samovar, Télécom SudParis, Institut Polytechnique de Paris, 9 rue Charles Fourier, 91011 Evry-Courcouronnes CEDEX, France
*
Authors to whom correspondence should be addressed.
Academic Editor: Muhamed Turkanović
Sensors 2021, 21(6), 2239; https://doi.org/10.3390/s21062239
Received: 29 January 2021 / Revised: 18 March 2021 / Accepted: 19 March 2021 / Published: 23 March 2021
In the logistic chain domain, the traceability of shipments in their entire delivery process from the shipper to the consignee involves many stakeholders. From the traceability data, contractual decisions may be taken such as incident detection, validation of the delivery or billing. The stakeholders require transparency in the whole process. The combination of the Internet of Things (IoT) and the blockchain paradigms helps in the development of automated and trusted systems. In this context, ensuring the quality of the IoT data is an absolute requirement for the adoption of those technologies. In this article, we propose an approach to assess the data quality (DQ) of IoT data sources using a logistic traceability smart contract developed on top of a blockchain. We select the quality dimensions relevant to our context, namely accuracy, completeness, consistency and currentness, with a proposition of their corresponding measurement methods. We also propose a data quality model specific to the logistic chain domain and a distributed traceability architecture. The evaluation of the proposal shows the capacity of the proposed method to assess the IoT data quality and ensure the user agreement on the data qualification rules. The proposed solution opens new opportunities in the development of automated logistic traceability systems. View Full-Text
Keywords: IoT; data quality; smart contract; traceability; logistic; sensor; blockchain; supply chain IoT; data quality; smart contract; traceability; logistic; sensor; blockchain; supply chain
Show Figures

Figure 1

MDPI and ACS Style

Ahmed, M.; Taconet, C.; Ould, M.; Chabridon, S.; Bouzeghoub, A. IoT Data Qualification for a Logistic Chain Traceability Smart Contract. Sensors 2021, 21, 2239. https://doi.org/10.3390/s21062239

AMA Style

Ahmed M, Taconet C, Ould M, Chabridon S, Bouzeghoub A. IoT Data Qualification for a Logistic Chain Traceability Smart Contract. Sensors. 2021; 21(6):2239. https://doi.org/10.3390/s21062239

Chicago/Turabian Style

Ahmed, Mohamed, Chantal Taconet, Mohamed Ould, Sophie Chabridon, and Amel Bouzeghoub. 2021. "IoT Data Qualification for a Logistic Chain Traceability Smart Contract" Sensors 21, no. 6: 2239. https://doi.org/10.3390/s21062239

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop