IoT Explained: Smart Systems, Connected Devices & Intelligent Technologies is a publication-grade Open Educational Resource (OER) module covering the microarchitectural, wireless network, edge computing, and cybersecurity principles governing distributed smart environments.
Serving as an integral core module within the Electrical and Electronic Engineering curriculum on Prep4Uni.Online, this text bridges physical wireless transceivers (LoRaWAN, Zigbee, NB-IoT, 5G) and cloud analytics with contemporary AI-era edge inference, digital twins, and cyber-physical security.
Key Features:1. Interactive IoT & Edge Simulator: A client-side JavaScript/Canvas engine modeling protocol selections (LoRaWAN, Zigbee, Wi-Fi 6, 5G), node density contention, edge pre-processing ratios, and operational battery lifespans.2. Contemporary Computational Paradigms: Rigorous integration of Physics-Informed Neural Networks (PINNs) solving 1D fluid dynamics for municipal leak detection, Fourier Neural Operators (FNOs) for urban flood and building thermal digital twins, and Lie-group SE(3) Invariant Extended Kalman Filters (IEKF) for multi-agent swarm localization.3. Systems Engineering Architecture Trade-Offs: Structured comparison matrix contrasting LoRaWAN LPWAN, Zigbee mesh, cellular NB-IoT/LTE-M, and private industrial 5G URLLC.4. Worked Numerical Design Application: Multi-step mathematical calculations detailing an 8.5 km LoRaWAN telemetry link budget, free-space path loss (FSPL), packet airtime duration, duty-cycle compliance, and battery lifespan projection factoring in usable capacity derating and annual self-discharge.5. Curricular Assessment: 25 fully resolved review questions, analytical design scenarios, and numerical calculations in print-optimized collapsible details elements.