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graph TB
subgraph Patterns["API Design Patterns"]
REST["RESTful Design<br/>Resources over actions"]
Naming["Naming Conventions<br/>MQTT topics, CoAP URIs"]
Payload["Payload Formats<br/>JSON, CBOR, Protobuf"]
end
subgraph Practices["Best Practices"]
Version["API Versioning<br/>URI path recommended"]
Rate["Rate Limiting<br/>Token bucket algorithm"]
Security["Security<br/>TLS/DTLS, auth tokens"]
end
subgraph Examples["Worked Examples"]
Thermostat["Thermostat API<br/>Resource hierarchy"]
Offline["Offline Handling<br/>Connectivity metadata"]
Quiz["Protocol Quizzes<br/>Battery calculations"]
end
REST --> Version
Naming --> Rate
Payload --> Security
style REST fill:#16A085,stroke:#16A085,color:#fff
style Naming fill:#E67E22,stroke:#D35400,color:#fff
style Payload fill:#3498db,stroke:#2980b9,color:#fff
style Thermostat fill:#9b59b6,stroke:#8e44ad,color:#fff
1172 IoT Application Protocols: REST API Design and Best Practices
1172.1 Learning Objectives
By the end of this module, you will be able to:
- Design RESTful IoT APIs: Apply REST constraints to IoT resource hierarchies
- Implement Proper Error Handling: Use HTTP status codes correctly for device states
- Choose Payload Formats: Select between JSON, CBOR, and Protocol Buffers
- Version APIs Effectively: Implement URI, header, or query parameter versioning
- Apply Rate Limiting: Protect infrastructure from device misbehavior
- Secure IoT APIs: Implement authentication, authorization, and TLS best practices
1172.2 Prerequisites
Before diving into this module, you should be familiar with:
- Introduction and Why Lightweight Protocols Matter: Understanding HTTP pitfalls in IoT
- Protocol Overview and Comparison: Technical comparison of HTTP, MQTT, and CoAP
- HTTP Basics: Request methods (GET, POST, PUT, DELETE), status codes, headers
1172.3 How This Module Fits
Chapter Series Navigation: 1. Introduction and Why Lightweight Protocols Matter 2. Protocol Overview and Comparison 3. REST API Design for IoT (this module) 4. Real-time Protocols 5. Worked Examples
This module focuses on practical REST API design patterns specifically for IoT systems, building on the protocol comparison from the previous chapter.
1172.4 Module Overview
This module on REST API design for IoT has been organized into focused chapters for easier learning:
1172.4.1 Chapter Guide
| Chapter | Topics Covered | Estimated Time |
|---|---|---|
| Design Patterns | RESTful patterns, naming conventions, payload formats, versioning, rate limiting, security | 15-20 min |
| Worked Examples and Quizzes | Thermostat API design, offline device handling, protocol overhead calculations, comprehensive quizzes | 20-25 min |
Total Module Time: ~35-45 minutes
1172.5 Quick Reference
1172.6 Key Concepts Summary
1172.6.1 RESTful Design Principles
Resource-Oriented Design: - Model APIs around nouns (devices, sensors, readings), not verbs - HTTP methods provide the actions (GET, PUT, POST, DELETE) - Use consistent URI patterns: /api/v1/{resource}/{id}/{subresource}
Statelessness: - Each request contains all needed information - No server-side session state - Enables horizontal scaling and device reconnection
1172.6.2 Payload Format Selection
| Format | Size | Best For |
|---|---|---|
| JSON | Large | Development, debugging, web apps |
| CBOR | Small | Constrained devices, CoAP payloads |
| Protobuf | Small | High-volume, multi-language systems |
1172.6.3 API Versioning (URI Recommended)
coap://sensor.local/v1/temperature
coap://sensor.local/v2/temperature
- Simplest for embedded clients
- Clear in logs and debugging
- Works across all protocols
1172.7 Start Learning
Recommended path:
Start with Design Patterns - Learn RESTful patterns, naming conventions, payload formats, versioning, and security best practices
Continue to Worked Examples - Practice with thermostat API design, offline device handling, and test your knowledge with comprehensive quizzes
1172.8 Summary
This module covers practical REST API design patterns for IoT systems:
Design Patterns Chapter: - RESTful vs message-based patterns - Topic and URI naming conventions - Payload format selection (JSON vs CBOR vs Protobuf) - API versioning strategies - Rate limiting and throttling - Security best practices
Worked Examples Chapter: - Smart thermostat API design - Handling offline devices with connectivity metadata - Protocol overhead and battery impact calculations - Comprehensive review quizzes
1172.9 Whatβs Next?
After completing this module, continue with:
- Real-time Protocols: VoIP, SIP, and RTP for audio/video IoT applications
- Protocol Selection Worked Examples: Agricultural sensor network case study
For implementation details: - MQTT Fundamentals - CoAP Fundamentals and Architecture