Air Pollution Measurement Platform Based on LoRa and Blockchain for Industrial IoT Applications

Yohan Han; Jongpil Jeong

doi:10.1007/978-3-030-58802-1_44

Air Pollution Measurement Platform Based on LoRa and Blockchain for Industrial IoT Applications

Yohan Han, Jongpil Jeong

Research & Business Foundation

Sungkyunkwan University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Air pollution poses risks such as global warming and ecosystem changes. Contaminants such as harmful gas, particulate matter and residual material generated in factories are the main causes of air pollution. Therefore, there is a need for strict control of contaminants occurring in the factory. In this paper, we propose a new platform using the Internet of Things (IoT) and blockchain to monitor the air quality without restriction of space. The proposed platform provides a service that collects data in real-time through the IoT sensor device based on LoRa (Long Range) based on the contaminant generated in the factory and transmits the encrypted data to the cloud through the transaction technology of the blockchain. Using this platform, air pollution generated in factories can be managed in real-time and data integrity can be preserved. Through this study, it is possible to measure and monitor contaminants generated in the air and use them as important data to improve and overcome environmental problems caused by air pollution.

Original language	English
Title of host publication	Computational Science and Its Applications – ICCSA 2020 - 20th International Conference, Proceedings
Editors	Osvaldo Gervasi, Beniamino Murgante, Sanjay Misra, Chiara Garau, Ivan Blecic, David Taniar, Bernady O. Apduhan, Ana Maria A.C. Rocha, Eufemia Tarantino, Carmelo Maria Torre, Yeliz Karaca
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	613-622
Number of pages	10
ISBN (Print)	9783030588014
DOIs	https://doi.org/10.1007/978-3-030-58802-1_44
State	Published - 2020
Event	20th International Conference on Computational Science and Its Applications, ICCSA 2020 - Cagliari, Italy Duration: 1 Jul 2020 → 4 Jul 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12250 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	20th International Conference on Computational Science and Its Applications, ICCSA 2020
Country/Territory	Italy
City	Cagliari
Period	1/07/20 → 4/07/20

Keywords

Air pollution
Blockchain
Cloud computing
IoT
LoRa

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-58802-1_44

Cite this

Han, Y., & Jeong, J. (2020). Air Pollution Measurement Platform Based on LoRa and Blockchain for Industrial IoT Applications. In O. Gervasi, B. Murgante, S. Misra, C. Garau, I. Blecic, D. Taniar, B. O. Apduhan, A. M. A. C. Rocha, E. Tarantino, C. M. Torre, & Y. Karaca (Eds.), Computational Science and Its Applications – ICCSA 2020 - 20th International Conference, Proceedings (pp. 613-622). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12250 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-58802-1_44

Han, Yohan ; Jeong, Jongpil. / Air Pollution Measurement Platform Based on LoRa and Blockchain for Industrial IoT Applications. Computational Science and Its Applications – ICCSA 2020 - 20th International Conference, Proceedings. editor / Osvaldo Gervasi ; Beniamino Murgante ; Sanjay Misra ; Chiara Garau ; Ivan Blecic ; David Taniar ; Bernady O. Apduhan ; Ana Maria A.C. Rocha ; Eufemia Tarantino ; Carmelo Maria Torre ; Yeliz Karaca. Springer Science and Business Media Deutschland GmbH, 2020. pp. 613-622 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{662f1de5f6b0411091b27b49d880bfdf,

title = "Air Pollution Measurement Platform Based on LoRa and Blockchain for Industrial IoT Applications",

abstract = "Air pollution poses risks such as global warming and ecosystem changes. Contaminants such as harmful gas, particulate matter and residual material generated in factories are the main causes of air pollution. Therefore, there is a need for strict control of contaminants occurring in the factory. In this paper, we propose a new platform using the Internet of Things (IoT) and blockchain to monitor the air quality without restriction of space. The proposed platform provides a service that collects data in real-time through the IoT sensor device based on LoRa (Long Range) based on the contaminant generated in the factory and transmits the encrypted data to the cloud through the transaction technology of the blockchain. Using this platform, air pollution generated in factories can be managed in real-time and data integrity can be preserved. Through this study, it is possible to measure and monitor contaminants generated in the air and use them as important data to improve and overcome environmental problems caused by air pollution.",

keywords = "Air pollution, Blockchain, Cloud computing, IoT, LoRa",

author = "Yohan Han and Jongpil Jeong",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; 20th International Conference on Computational Science and Its Applications, ICCSA 2020 ; Conference date: 01-07-2020 Through 04-07-2020",

year = "2020",

doi = "10.1007/978-3-030-58802-1\_44",

language = "English",

isbn = "9783030588014",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Science and Business Media Deutschland GmbH",

pages = "613--622",

editor = "Osvaldo Gervasi and Beniamino Murgante and Sanjay Misra and Chiara Garau and Ivan Blecic and David Taniar and Apduhan, \{Bernady O.\} and Rocha, \{Ana Maria A.C.\} and Eufemia Tarantino and Torre, \{Carmelo Maria\} and Yeliz Karaca",

booktitle = "Computational Science and Its Applications – ICCSA 2020 - 20th International Conference, Proceedings",

}

Han, Y & Jeong, J 2020, Air Pollution Measurement Platform Based on LoRa and Blockchain for Industrial IoT Applications. in O Gervasi, B Murgante, S Misra, C Garau, I Blecic, D Taniar, BO Apduhan, AMAC Rocha, E Tarantino, CM Torre & Y Karaca (eds), Computational Science and Its Applications – ICCSA 2020 - 20th International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12250 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 613-622, 20th International Conference on Computational Science and Its Applications, ICCSA 2020, Cagliari, Italy, 1/07/20. https://doi.org/10.1007/978-3-030-58802-1_44

Air Pollution Measurement Platform Based on LoRa and Blockchain for Industrial IoT Applications. / Han, Yohan; Jeong, Jongpil.
Computational Science and Its Applications – ICCSA 2020 - 20th International Conference, Proceedings. ed. / Osvaldo Gervasi; Beniamino Murgante; Sanjay Misra; Chiara Garau; Ivan Blecic; David Taniar; Bernady O. Apduhan; Ana Maria A.C. Rocha; Eufemia Tarantino; Carmelo Maria Torre; Yeliz Karaca. Springer Science and Business Media Deutschland GmbH, 2020. p. 613-622 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12250 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Air Pollution Measurement Platform Based on LoRa and Blockchain for Industrial IoT Applications

AU - Han, Yohan

AU - Jeong, Jongpil

PY - 2020

Y1 - 2020

N2 - Air pollution poses risks such as global warming and ecosystem changes. Contaminants such as harmful gas, particulate matter and residual material generated in factories are the main causes of air pollution. Therefore, there is a need for strict control of contaminants occurring in the factory. In this paper, we propose a new platform using the Internet of Things (IoT) and blockchain to monitor the air quality without restriction of space. The proposed platform provides a service that collects data in real-time through the IoT sensor device based on LoRa (Long Range) based on the contaminant generated in the factory and transmits the encrypted data to the cloud through the transaction technology of the blockchain. Using this platform, air pollution generated in factories can be managed in real-time and data integrity can be preserved. Through this study, it is possible to measure and monitor contaminants generated in the air and use them as important data to improve and overcome environmental problems caused by air pollution.

AB - Air pollution poses risks such as global warming and ecosystem changes. Contaminants such as harmful gas, particulate matter and residual material generated in factories are the main causes of air pollution. Therefore, there is a need for strict control of contaminants occurring in the factory. In this paper, we propose a new platform using the Internet of Things (IoT) and blockchain to monitor the air quality without restriction of space. The proposed platform provides a service that collects data in real-time through the IoT sensor device based on LoRa (Long Range) based on the contaminant generated in the factory and transmits the encrypted data to the cloud through the transaction technology of the blockchain. Using this platform, air pollution generated in factories can be managed in real-time and data integrity can be preserved. Through this study, it is possible to measure and monitor contaminants generated in the air and use them as important data to improve and overcome environmental problems caused by air pollution.

KW - Air pollution

KW - Blockchain

KW - Cloud computing

KW - IoT

KW - LoRa

UR - https://www.scopus.com/pages/publications/85093077487

U2 - 10.1007/978-3-030-58802-1_44

DO - 10.1007/978-3-030-58802-1_44

M3 - Conference contribution

AN - SCOPUS:85093077487

SN - 9783030588014

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 613

EP - 622

BT - Computational Science and Its Applications – ICCSA 2020 - 20th International Conference, Proceedings

A2 - Gervasi, Osvaldo

A2 - Murgante, Beniamino

A2 - Misra, Sanjay

A2 - Garau, Chiara

A2 - Blecic, Ivan

A2 - Taniar, David

A2 - Apduhan, Bernady O.

A2 - Rocha, Ana Maria A.C.

A2 - Tarantino, Eufemia

A2 - Torre, Carmelo Maria

A2 - Karaca, Yeliz

PB - Springer Science and Business Media Deutschland GmbH

T2 - 20th International Conference on Computational Science and Its Applications, ICCSA 2020

Y2 - 1 July 2020 through 4 July 2020

ER -

Han Y, Jeong J. Air Pollution Measurement Platform Based on LoRa and Blockchain for Industrial IoT Applications. In Gervasi O, Murgante B, Misra S, Garau C, Blecic I, Taniar D, Apduhan BO, Rocha AMAC, Tarantino E, Torre CM, Karaca Y, editors, Computational Science and Its Applications – ICCSA 2020 - 20th International Conference, Proceedings. Springer Science and Business Media Deutschland GmbH. 2020. p. 613-622. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-58802-1_44

Air Pollution Measurement Platform Based on LoRa and Blockchain for Industrial IoT Applications

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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