Intelligent IoT Networking For Urban Air Pollution Exposure Assessment.pdf
Sujet-PhD-Diaz-Boussetta.pdf
Description
An IoT-based networking architecture leverages cloud and fog computing, SDN, NFV, and AI to assess individual exposure to urban air pollution, offering more dynamic and detailed data collection compared to static monitoring stations. This approach aims to improve understanding of air pollutant variations across space and time for better environmental health management.
Technical Information
- File Format: PDF
- File Size: 168 KB
- Pages: 1
- Language: EN
- Author: Gladys Diaz
- Total Downloads: 20
- Last Updated: 1 month ago
Document Overview
This PDF document about Intelligent IoT Networking for Urban Air Pollution Exposure Assessment provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Intelligent IoT Networking for Urban Air Pollution Exposure Assessment.
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