IoT Power Consumption Calculator
Estimate Battery Life and Optimize Energy Usage
Interactive tool to calculate power consumption, estimate battery life, and optimize energy usage for IoT devices
Power Consumption Calculator
Design Energy-Efficient IoT Devices
Calculate power consumption, estimate battery life, and explore optimization strategies for battery-powered IoT devices.
Device Configuration
Component Power Draw
Duty Cycle Configuration
Battery Configuration
Power Analysis Results
Energy Breakdown
Detailed Calculations
Power Optimization Tips
MCU Optimization
- Use deep sleep modes: ESP32 deep sleep uses 10 µA vs 40 mA active
- Lower clock speed: Reduce from 240 MHz to 80 MHz for 3x power savings
- Disable unused peripherals: ADC, I2C, SPI when not needed
- Use interrupts instead of polling: Wake only when needed
Radio Optimization
- Reduce TX power: -20 dBm vs +20 dBm = 100x less power
- Minimize payload size: Smaller packets = shorter airtime
- Batch transmissions: Send multiple readings in one packet
- Use efficient protocols: LoRaWAN SF7 vs SF12 = 32x less airtime
Sensor Optimization
- Power sensors only when reading: Use GPIO to control sensor power
- Use low-power sensor modes: Many sensors have standby modes
- Reduce sampling rate: Does your app need readings every second?
- Use analog sensors: Often lower power than digital sensors
Common Device Power Profiles
| Device Type | Active Current | Sleep Current | Typical Battery Life |
|---|---|---|---|
| Temperature sensor (simple) | 3-5 mA | 2-10 µA | 3-5 years (AA) |
| Environmental monitor | 10-20 mA | 50-100 µA | 6-12 months (AA) |
| GPS tracker | 30-50 mA | 10-50 µA | 1-7 days (Li-Ion) |
| Smart lock | 15-30 mA | 5-20 µA | 1-2 years (AA x4) |
| Video doorbell | 200-500 mA | 1-5 mA | Requires wired power |