Air pollution monitoring with secure low-cost Vehicular Sensor Networks

Kolumban-Antal, Gyorgy; Lasak, Vladko; Bogdan, Răzvan; Groza, Bogdan

doi:10.1051/itmconf/20192903007

Cited by 3 publications

(3 citation statements)

References 11 publications

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“…Kolumb Án-Antal et al [35] proposed a system for vehicle monitoring to measure concentration of CO 2 and dust, temperature, humidity, and Volatile Organic Compounds.…”

Section: Pollution and Engine Statusmentioning

confidence: 99%

“…Location of the vehicle not known to the relatives IoT based automobile air pollution monitoring system [31] Air quality sensor, Methane, CO, CO 2 , N O x , Combustible gases All Pollution Parameters considered Checks only for emission of gases Air pollution monitoring with secure low-cost vehicular sensor networks [35] Temperature, Humidity, CO 2 sensors…”

Section: Rfid Zigbee Collision Prevention In Mining Applicationsmentioning

confidence: 99%

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MOVE in ROAD: Multi-Objective Vehicle Monitoring using River Formation Dynamics and Deep Learning Algorithms

Guravaiah

Dharavathu

Udutalapally

et al. 2022

Preprint

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Nowadays, wireless sensor networks plays major role in solving vehicular Internet of Things (VIoT) applications. This paper address the common problems in vehicular technology such as unauthorized vehicular usage within a locality, vehicular thefts, and vehicular accidents using camera, radiofrequency identification (RFID) and Ultra-sonic sensors. It also addresses the problem of identifying the vehicle pollution parameter values such as carbon monoxide ( CO ) and carbon dioxide ( CO 2 ), providing information about alcohol consumption by driver, and checking validity (driving license) of the driver to drive the vehicle. The driver identification is going to be done with the help of driving license, which can be identified with the help of Deep learning algorithms such as MTCNN (Multi-Task Cascaded Convolutional Neural Networks) and facenet algorithms. The proposed system is deployed and demonstrated using Micro-controller, Micro-processor and other sensors in real time environment. The River Formation Dynamics based Multi-hop Routing Protocol for Vehicles (RFDMRPV) is used for communication between vehicles. Data collected from the sensors fixed in vehicles are transferred to server using RFDMRPV for storing and further processing.

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“…Kolumb Án-Antal et al [35] proposed a system for vehicle monitoring to measure concentration of CO 2 and dust, temperature, humidity, and Volatile Organic Compounds.…”

Section: Pollution and Engine Statusmentioning

confidence: 99%

Section: Rfid Zigbee Collision Prevention In Mining Applicationsmentioning

confidence: 99%

MOVE in ROAD: Multi-Objective Vehicle Monitoring using River Formation Dynamics and Deep Learning Algorithms

Guravaiah

Dharavathu

Udutalapally

et al. 2022

Preprint

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show abstract

“…In a previous work [44], we started to explore the design and implementation of a VSN system to monitor air pollution. However, our system lacks privacy protection for the users and authentication for the data once it is stored.…”

Section: Protocol Design Goalsmentioning

confidence: 99%

A Secure and Portable Multi-Sensor Module for Distributed Air Pollution Monitoring

Kolumban-Antal

Lasak

Bogdan

et al. 2020

Sensors

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Air quality in urban environments has become a central issue of our present society as it affects the health and lives of the population all over the world. The first step in mitigating negative effects is proper measurement of the pollution level. This work presents a portable air pollution measurement system, built from off-the-shelf devices, that is designed to assure user privacy and data authenticity. Data is collected from sensor modules that can be hand carried or installed on vehicles, possibly leading to a vehicular sensor network that may cover a larger area. The main challenge is to provide authenticity for the sensor data while also ensuring user privacy. The proposed system assures authenticity and non-repudiation for the collected data by using group signatures and a blockchain-like structure for secure storage. We use regular key-exchange protocols based on elliptic curve cryptography in order to securely bootstrap a session key, then we benefit from secure tunneling to export data from sensors to the remote server. Post-update tampering is prevented by the use of a blockchain-like structure on the data server. We carry experiments both to determine the computational requirements of the procedures, as well as to measure indicators of air quality on nearby areas.

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Blockchain + IoT sensor network to measure, evaluate and incentivize personal environmental accounting and efficient energy use in indoor spaces

Waegel

Hakkarainen

et al. 2023

Applied Energy

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Air pollution monitoring with secure low-cost Vehicular Sensor Networks

Cited by 3 publications

References 11 publications

MOVE in ROAD: Multi-Objective Vehicle Monitoring using River Formation Dynamics and Deep Learning Algorithms

MOVE in ROAD: Multi-Objective Vehicle Monitoring using River Formation Dynamics and Deep Learning Algorithms

A Secure and Portable Multi-Sensor Module for Distributed Air Pollution Monitoring

Blockchain + IoT sensor network to measure, evaluate and incentivize personal environmental accounting and efficient energy use in indoor spaces

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