IoT Edge Storage Solution

Application

Description

Complete storage solution for IoT edge devices using DOSILICON low-power SPI NOR and NAND flash with optimized power management.

Core Advantages

Optimized for battery-powered IoT devices

Ultra-low standby power consumption

Reliable operation in harsh environments

Complete firmware and data storage solution

Recommended Bill of Materials (BOM)

Item	Part Number	Description	Quantity	Datasheet
1	DS25Q32B	32Mb SPI NOR Flash for firmware	1	📄 Download
2	DS35Q02G	2Gb SPI NAND Flash for data logging	1	📄 Download
3	100nF Ceramic Capacitor	Decoupling capacitor for VCC	2	📄 Download
4	10kΩ Pull-up Resistors	Pull-up for control signals	4	📄 Download

Applications

Smart agriculture sensors

Environmental monitoring

Asset tracking devices

Industrial sensor nodes

Smart home devices

Technical Specifications

Standby Current

<5μA (deep power-down)

Active Current

<15mA (read operation)

Wake-up Time

<100μs from deep power-down

Operating Temperature

-40°C to +85°C

Data Retention

10-20 years

Endurance

100,000 program/erase cycles

Customer Success Stories

Smart Agriculture Technology Co.

Agriculture |

Challenge

Needed ultra-low power storage for soil monitoring sensors with 5-year battery life

Solution

Implemented DOSILICON IoT Edge Storage Solution with DS25Q32B NOR and DS35Q02G NAND

Results

Achieved 7-year battery life with 15-minute sampling interval; 99.9% data reliability in field deployment

Industrial Sensor Systems Ltd.

Industrial IoT |

Challenge

Required reliable data logging for vibration monitoring in factory environment

Solution

Deployed DOSILICON NAND-based data logger with industrial temperature support

Results

Successfully logging 1GB of vibration data per month; operating reliably for 3+ years

FAE Expert Insights

Sarah Liu

Senior FAE - IoT Solutions

Professional Insights

This IoT Edge Storage Solution addresses the key challenge in battery-powered designs: power consumption. The combination of DS25Q32B NOR flash for firmware and DS35Q02G NAND for data logging provides an optimal balance. Key design tips: Use deep power-down mode between sampling cycles - this reduces current to less than 5μA. Implement efficient wake-up sequences to minimize active time. For data logging, use circular buffer implementation to maximize NAND lifetime. The 2Gb NAND can store approximately 6 months of data at 1-minute sampling intervals. For longer deployments, consider implementing data compression or periodic wireless upload.

Key Takeaways

Deep power-down mode is essential for battery life
Circular buffer maximizes NAND endurance
Efficient wake-up sequences reduce power consumption
2Gb NAND stores ~6 months at 1-minute intervals

Decision Framework

Solution Selection Decision Framework

Steps:

Calculate required battery life and sampling rate
Determine storage capacity needs
Evaluate environmental conditions
Select optimal NOR+NAND combination
Implement power management strategy

Ready to Implement This Solution?

Contact our FAE team for design support and quotes

Frequently Asked Questions

What battery life can be achieved with this solution?

Battery life depends on sampling rate and data size: (1) Deep Power-Down - <5μA current when not accessing flash. (2) Active Read - ~15mA during data access. (3) Write Operations - ~20mA during programming. (4) Example Calculation - With 1000mAh battery, 15-minute sampling, and 100-byte samples: ~5-7 years battery life. (5) Optimization Tips - Use deep power-down between accesses, minimize wake-up time, batch writes when possible. (6) Real Results - Customers achieving 3-7 years with various configurations. LiTong can provide detailed power analysis for your specific application.

Contact LiTong for battery life estimation based on your requirements.

How much data can be stored with the 2Gb NAND?

The DS35Q02G 2Gb (256MB) NAND storage capacity: (1) Raw Capacity - 256MB usable after formatting. (2) With File System - ~200-220MB with typical overhead. (3) Sampling Examples - At 100 bytes/sample: 2M+ samples

At 1KB/sample: 200K+ samples

At 1-minute intervals: ~4.5 months storage. (4) Compression - Can increase capacity 2-3x for text data. (5) Circular Buffer - Overwrite oldest data for continuous operation. (6) Upload Strategy - Periodic wireless upload extends effective capacity. For most IoT applications, 2Gb provides months to years of local storage. Contact LiTong for capacity planning assistance.

Contact LiTong for storage capacity analysis.

What file system should I use for the NAND?

File system selection for IoT NAND: (1) LittleFS - Recommended for most IoT applications. Designed for microcontrollers, low RAM requirements, excellent wear leveling, power-fail safe. (2) Custom Circular Buffer - Simplest option for sequential data logging. No file system overhead. (3) FATFS - Not recommended for raw NAND - lacks wear leveling. (4) JFFS2/UBIFS - Good for Linux systems but too heavy for simple IoT devices. (5) Selection Criteria: RAM availability, Required features, OS platform, Complexity tolerance. For battery-powered IoT, LittleFS is usually the best choice. LiTong provides LittleFS integration examples.

Contact LiTong for file system selection guidance.

How do I optimize power consumption?

Power optimization strategies: (1) Deep Power-Down - Use between sampling cycles. Reduces current to <5μA. (2) Efficient Wake-Up - Minimize time from sleep to active. Use fast SPI clock. (3) Batch Operations - Collect multiple samples before writing to NAND. (4) Read Optimization - Use continuous read mode for firmware execution. (5) Clock Gating - Disable SPI clock when not in use. (6) Voltage Selection - Use lowest acceptable VCC voltage. (7) Measurement - Profile actual current in all modes. (8) Typical Results - <10μA average current with 15-minute sampling. LiTong provides power analysis tools and optimization guidance.

Contact LiTong for power optimization support.

What is the expected NAND lifetime?

NAND lifetime in IoT applications: (1) Endurance - 100,000 program/erase cycles per block. (2) Wear Leveling - File system distributes writes evenly. (3) Lifetime Calculation - With 2048 blocks and 100K cycles: 204M block writes total. At 1000 writes/day: ~560 years theoretical. (4) Practical Limits - Data retention (10 years), operating temperature, power-on hours. (5) Realistic Lifetime - 10+ years for typical IoT applications. (6) Monitoring - Track bad block count to predict remaining life. (7) Design Margin - NAND lifetime typically exceeds battery and product lifecycle. For most IoT deployments, NAND endurance is not a limiting factor.

Contact LiTong for lifetime analysis.