Testing: IoT-Based Lake Monitoring System
Overview
Testing is essential to ensure the reliability, accuracy, and performance of the IoT-Based Lake Monitoring System. This section outlines various testing strategies applied at hardware, software, and system levels.
1. Hardware Testing
Ensures sensor accuracy, device reliability, and data transmission stability.
Sensor Calibration
| Sensor | Test Method | Expected Outcome |
|---|---|---|
| pH Sensor | Test with known buffer solutions | Accuracy ±0.1 pH |
| Temperature Sensor | Test in controlled water samples | Accuracy ±0.5°C |
Connectivity & Communication Testing
- MQTT Communication: Verify real-time data transmission.
- WiFi Stability: Test under different network conditions.
- Data Loss Rate: Ensure less than 1% packet loss.
2. Backend Testing
Ensures data integrity, API functionality, and database performance.
API Testing
Tested using Pytest.
| Method | API Endpoint | Test Case | Expected Result |
|---|---|---|---|
| POST | /api/v1/sensors/readings | Send sensor data | Data stored successfully |
| GET | /api/v1/sensors/readings/latest | Fetch latest readings | Returns valid JSON response |
| GET | /api/v1/alerts | Query for anomalies | Returns correct alerts |
| GET | /api/v1/sensors | Retrieve all sensor nodes | Returns list of sensors |
| GET | /api/v1/dashboard/stats | Fetch dashboard statistics | Returns system stats |
Database Testing
| Test Type | Description |
|---|---|
| Data Integrity | Ensure correct data is stored in PostgreSQL/MongoDB |
| Query Performance | Test execution time under high load |
| Data Retention | Verify old data archiving mechanisms |
3. Frontend Testing
Ensures UI/UX quality, responsiveness, and real-time data updates.
| Test Case | Expected Behavior |
|---|---|
| Dashboard Load Time | Loads within 2 seconds |
| Graph Updates | Real-time data refresh |
| Alerts & Notifications | Displayed correctly on abnormal conditions |
| Map Integration | Sensors appear correctly on the map |
Responsiveness Testing
- Devices Tested: Mobile, Tablet, Desktop.
- Browsers Tested: Chrome, Firefox, Safari, Edge.
4. System Testing
Ensures the end-to-end functionality and robustness of the system.
Performance Testing
| Metric | Expected Outcome |
|---|---|
| Concurrent Nodes | Supports 100+ nodes |
| Data Ingestion Rate | Handles 1000+ sensor readings per second |
| Server Uptime | 99.9% availability |
5. Deployment Testing
Ensures successful cloud deployment and scalability.
Cloud Environment Tests
- Docker Container Testing → Verify images work correctly.
- CI/CD Pipeline → Ensure automated deployment works.
Final Acceptance Testing
- Real-world Sensor Deployment → Test data collection in a live lake environment.
- System Stress Testing → Simulate high traffic & sensor data influx.
- User Feedback Collection → Gather insights from early users.