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Full Description
The reference text comprehensively discusses micro-electromechanical systems and nanoelectromechanical systems-based design of smart sensors, fabrication techniques for smart sensors, and smart wearable stress monitoring devices for autistic children. It covers applications of smart sensors in diverse areas including medical, agricultural, space, automobiles, manufacturing, security, and surveillance.
This book:
Discuss design parameters of micro-electromechanical systems and nanoelectromechanical systems-based smart sensors.
Covers smart sensors for conditioning and monitoring of electrical machines, robotic systems, and electric vehicles.
Highlights the importance of using smart sensors in localization, navigation, and mapping.
Explains efficient mobile Ad-hoc network using predictive link sustainability model, and smart sensor technologies for the Internet of Things applications.
Illustrates the graded node deployment with improved M-LEACH protocol to increase the lifetime of wireless sensor networks.
It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, sensor technology, nanoscience, and nanotechnology.
Contents
1. Multifunctional SERS Substrates for Smart Sensing: Principles, Applications and Emerging Trends. 2. Smart Sensors: The Enablers of Internet of Things. 3. Utilization of Smart Sensors in Localization, Navigation and Mapping. 4. Future of Infrastructure Production: Exploring Low-Cost Sensor Technologies. 5. Smart sensors for smart manufacturing. 6. Smart Sensors Enabling Navigation and Mapping for Smart Farming. 7. Structural Health Monitoring System: Vibration Analysis using a ZigBee Module. 8. Wireless EEG Recording and ANN Classifier for Epileptic Classification Using Particle Swarm Optimization. 9. Advancements in Bilirubin Detection: Harnessing Smart Sensor Technologies for Improved Diagnosis. 10. Development of Internet of Things based System for Home Automation using Soft Computing. 11. Integration of Smart Sensors in DFIG-Based Wind Energy Conversion Systems. 12. On the Potential of High Electron Mobility Transistors as Smart Sensors.
