Air pollution forecasting based on wireless communications: review

Fadhil, Muthna J.; Gharghan, Sadik Kamel; Saeed, Thamir R.

doi:10.1007/s10661-023-11756-y

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Cited by 3 publications

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Insights into airborne particulate matter: artificial intelligence-driven PM2.5 modelling in Hyderabad district, India

A K,

Mathew

2024

Stoch Environ Res Risk Assess

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Insights into airborne particulate matter: artificial intelligence-driven PM2.5 modelling in Hyderabad district, India

A K,

Mathew

2024

Stoch Environ Res Risk Assess

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Plasmonic enhanced gas sensing using polarization-insensitive 3D hybrid nanostructures

Al-Shalaby,

Malhat,

Zainud-Deen

2024

Opt Quant Electron

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This paper investigates a hybrid coupled plasmonic gas sensor with stacked gold-SiO2 layers for air-quality monitoring. The gas absorption characteristics of hybrid-stacked layers sensors are studied and compared with single-layer sensors. Gases with different refractive indexes changing from 1 to 1.4 are studied. The total absorption radar cross section (ACS) has increased from 1.681 × 105 nm2 for single-layer sensors to 5.021 × 105 nm2 for hybrid stacked layers sensors. A graphene monolayer is used to enhance the total gas absorption. It acts as an insulator to the dipole sensor. The lumped-element equivalent circuit is developed using a particle swarm optimization technique (PSO). The sensitivity is 788 nm/RIU for the single-layer sensor and 910 nm/RIU for the hybrid-stacked layers sensor with a graphene monolayer placed as a cover for the plasmonic dipole. A polarization-insensitive sensor concerning the direction of the electric field (single layer/hybrid-stacked layers) is constructed from 45° quad-rotated dipole arms of sensors. The total ACS is enhanced to 2.31 × 105 nm2 for the polarization-insensitive single-layer sensor and 6.76 × 105 nm2 for the polarization-insensitive hybrid-stacked layers sensor. Planar arrays of 3 × 3, 4 × 4, and 5 × 5 elements of the last sensor are investigated for absorption and sensitivity enhancement. Ethanol, acetone, nitrogen dioxide, and toluene gases are tested with a total ACS peak value of 8.7 × 106 nm2. The sensitivity is 895.5 nm/RIU for 4 × 4 array elements.

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Advanced AODV Technique to Improve Communications in a 4G Telecommunication Network and Related Issues

Kumar

2023

2023 3rd International Conference on Mobile Networks and Wireless Communications (ICMNWC)

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Air pollution forecasting based on wireless communications: review

Cited by 3 publications

References 235 publications

Insights into airborne particulate matter: artificial intelligence-driven PM2.5 modelling in Hyderabad district, India

Insights into airborne particulate matter: artificial intelligence-driven PM2.5 modelling in Hyderabad district, India

Plasmonic enhanced gas sensing using polarization-insensitive 3D hybrid nanostructures

Advanced AODV Technique to Improve Communications in a 4G Telecommunication Network and Related Issues

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