Design and implementation of an automated and decentralized pollution monitoring system with blockchains, smart contracts, and LoRaWAN

This work proposes an IoT- and Blockchain-based, distributed system, for automated measuring, storing, and monitoring of water and air quality in environments such as lakes, mountains, urban areas, or factories. Comparable state-of-the-art solutions, require human interaction to access the data or r...

Full description

Saved in:
Bibliographic Details
Published inNOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium pp. 1 - 4
Main Authors Niya, Sina Rafati, Jha, Sanjiv S., Bocek, Thomas, Stiller, Burkhard
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2018
Subjects
Online AccessGet full text
ISSN2374-9709
DOI10.1109/NOMS.2018.8406329

Cover

More Information
Summary:This work proposes an IoT- and Blockchain-based, distributed system, for automated measuring, storing, and monitoring of water and air quality in environments such as lakes, mountains, urban areas, or factories. Comparable state-of-the-art solutions, require human interaction to access the data or require high power consumption or space requirements, or they are based on centralized architectures. The proposed pollution monitoring system here, on one hand, employs LoRa to address the high power consumption and long-range transmission challenges of IoT protocols. On the other hand, it is designed to be fully decentralized by using the Ethereum Blockchain to store and retrieve the data recorded by IoT sensors. Thus, data integrity is provided without the need for a Trusted Third Party (TTP) and data is collected and captured automatically without any manual operations needed. Observations on the four different types of sensors for measuring Potential Hydrogen (PH), Turbidity, Carbon monoxide (CO), and Carbon dioxide (CO2), revealed a high accuracy with the expected time-lines of measurements, non-falsified experimental values collected and can be used as reliable evidence of presence of pollution.
ISSN:2374-9709
DOI:10.1109/NOMS.2018.8406329