Description
Internet of Things (IoT) – An Engineering Approach: From Principles to Practice provides clear engineering practice guides on developing intelligent sensor/actuator nodes and then forming an IoT system, without the confusion of network/communication protocols.IoT will be widely used in smart homes, smart cities, digital health, and digital manufacturers. However, the development of an IoT system can be complicated since it combines technologies in networking and security, wireless communication, broadband cellular networks, sensors and actuators, data acquisition and real-time embedded systems, edge computing with artificial intelligence, and low-power electronics technologies.All engineering practice topics come with examples mostly from the first-hand materials of the author's research projects, e.g. digital switching, powering indoor IoT sensor nodes by photovoltaic energy harvesting, laser sensors for greenhouse plant, low-power electronics for implantable neural recording for blowfly, zero-power passive sensing, MEMs capacitor for ultrasound imaging/digital speaker, contactless electrode for physiological measurements, EoG based gaze tracking for augmented reality. Therefore, this book can be used for teaching or used as a reference for relevant research.- The first book to cluster relevant technologies from an engineer's view, eliminating confusion on network structure and network/communication protocols- Deep technical discussions with examples extracted from the author's cutting-edge research projects- Practice guides on sensor interface, data acquisition, and real-time control
Table of Contents
Part 1: Introduction1. IoT overview2. Internet3. ThingsPart 2: Engineering Essentials for IoT4. Wireless technologies5. Internet protocols and IoT structure6. IoT application case studyPart 3: Development of IoT systems7. Sensor nodes8. Connecting sensor nodes to the internet9. Application software developmentPart 4: Engineering practices to meet application requirements10. Measurements accuracy11. Real-time implementation12. Lower the power consumption13. Intelligent the sensor nodes
