In outdoor urban scale air quality mapping, electrochemical sensors warm-up time, cross-sensitivity, geo location typography, and energy efficiency are major challenges. In this work, a gradient-aware, multi-variable air quality sensing node is proposed with event-triggered sensing based on position, gas magnitudes, and cross-sensitivity interpolation. In this approach, temperature, humidity, pressure, geo-position, photovoltaic power, volatile organic compounds (VOCs), particulate matter, Ozone, Carbon mono-oxide, Nitrogen dioxide, and Sulphur dioxide are the principal variables. Results...

The book is about real-time infrastructure monitoring and safety using vibration and tilt sensors at urban scale integrated with IoT and has the core of machine learning algorithms for event detection and decision making. This work focused on comprehensive study, design, fabrication, testing, calibration, and deployment of industry-grade sensor nodes with extremely high resolution sensing to ensure trustable warnings against exceeding permissible site limits and call for intervention. The major demands in disaster monitoring consist of flexible deployment, system scalability, and fast...