Nanotechnology-Based Smart Remote Sensing Networks for Disaster Prevention

Nanotechnology-Based Smart Remote Sensing Networks for Disaster Prevention explores the use of nanotechnology and space technology to detect disaster risks in early stages, using cheap sensors, LEO satellites, and AI tools. Nanosensors offer advantages such as lower power consumption, high sensitivity, and smaller interaction distances, and AI tools can make sensor systems smarter when used with a large number of sensors.

Format: Paperback / softback
Length: 350 pages
Publication date: 31 May 2022
Publisher: Elsevier - Health Sciences Division

Nanotechnology-Based Smart Remote Sensing Networks for Disaster Prevention delves into the potential applications of nanotechnology and space technology in the early detection of disaster risks. By utilizing affordable sensors, cost-effective constellations of low Earth orbit (LEO) satellites, and intelligent wireless networks equipped with artificial intelligence (AI) tools, this book explores how these technologies can be harnessed to identify and mitigate disaster threats. Nanomaterial-based sensors, known as nanosensors, offer several advantages over their micro-counterparts. These include lower power or self-powered consumption, heightened sensitivity, reduced concentration of analytes, and smaller interaction distances between the object and the sensor. Moreover, with the aid of AI tools such as fuzzy logic, genetic algorithms, neural networks, and ambient intelligence, sensor systems become increasingly intelligent when a substantial number of sensors are employed. This book serves as a valuable reference for materials scientists, engineers, and environmental scientists interested in understanding how nanotechnology-based solutions can contribute to mitigating natural disasters.

Weight: 450g
Dimension: 235 x 191 (mm)
ISBN-13: 9780323911665