IoT Systems Design: Sensors, Networks and Data Analytics

IoT Systems Design: Sensors, Networks and Data Analytics presents a structured and interdisciplinary overview of the components and processes involved in designing complete IoT solutions. The book begins with sensor technologies, covering physical, chemical, biological, and smart sensors, along with signal conditioning, calibration, and data acquisition methods.
It then explores networking layers and communication protocols, including short-range technologies (Bluetooth, ZigBee, Wi-Fi), long-range systems (LoRaWAN, NB-IoT, Sigfox), and IP-based networking stacks tailored for IoT environments. The integration of gateways, edge computing nodes, and cloud platforms is discussed to illustrate the end-to-end data flow in IoT architectures.
The final section focuses on data analytics and applications, introducing data storage, stream processing, machine learning for IoT, and visualization techniques. Case studies demonstrate how IoT is applied across domains such as smart healthcare, agriculture, industrial automation, and transportation.
Special attention is given to security, privacy, interoperability, and energy optimization, reflecting real-world deployment challenges. Designed for engineering students, practitioners, and system designers, this book combines conceptual foundations with contemporary practices to enable the creation of efficient, intelligent, and scalable IoT systems.