1.6.1 Designing for the "Billions" (The Economic Pillar)

To scale to trillions of nodes, the Total Cost of Ownership (TCO) must be minimal.

• Hardware BOM: Using highly integrated SoCs (like ESP32 or STM32 chips) that cost under $1 in high volume.
• Energy Harvesting: Avoiding the massive labor cost of changing batteries in 1 million city sensors.
• Cloud Cost: Using "Serverless" IoT logic (Lambda/Azure Functions) so you only pay for the packets you send.

1.6.2 Ease of Designing: Rapid Prototyping and Abstraction

Modern design is facilitated by abstracting the complex hardware registers:

1. HAL (Hardware Abstraction Layers): Write code in C++ once and run it on an AVR (Arduino) or an ARM (STM32).
2. SDKs: Cloud-specific development kits that handle all the encryption and connectivity retries automatically.
3. Low-Code/No-Code: Tools like Node-RED for visual "Wiring" of IoT logic between sensors and databases.

1.6.3 Unit 1 Review Questions (Academic Check)

1. Define Mark Weiser's vision of Ubiquitous Computing and its relation to IoT.
2. Explain the differences between M2M and IoT in terms of data silos and scalability.
3. Describe the 5-layer integrated architecture of IoT. Why is Layer 3 (Processing) so critical?
4. What is the significance of the 6LoWPAN adaptation layer?
5. Compare LoRaWAN and NB-IoT communication technologies.
6. Explain the concept of "Data Enrichment" and "Data Consolidation".
7. How does Energy Harvesting contribute to the long-term sustainability of the IoT ecosystem?
8. List four major sources of IoT data in a Smart City context and categorize them.