Key Challenges & Solutions
Bandwidth Bottlenecks in Wireless & LPWAN Networks
Most IoT devices rely on BLE, WiFi, LoRa, NB-IoT, or sub-GHz links. These channels struggle with continuous, high-resolution sensor streams: leading to packet loss, delays, or reduced sampling rates.
How Byte2Bit solves it:
- EmbedZip reduces transmitted data by 2×–6×, making high-frequency sensing feasible even on narrowband links.
- Low-latency, real-time compression ensures edge devices can stream reliably without sacrificing fidelity.
Extremely Limited CPU, RAM & Battery on Microcontrollers
IoT edge nodes often run on ESP32, ARM Cortex-M, or similar low-power MCUs with minimal memory. Heavy compression algorithms drain batteries and interfere with critical real-time tasks.
How Byte2Bit solves it:
- EmbedZip is engineered for ultra-low footprint operation, maintaining 20–50 MB/s throughput even on small MCUs.
- Minimal CPU and memory usage extend battery life and keep firmware responsive.
- Ideal for battery-powered sensors, wearables, smart-home devices, and industrial nodes.
Long-Term Storage of Massive Distributed Sensor Data
At the gateway or cloud layer, billions of small readings from distributed IoT nodes accumulate into large datasets that are costly to store and slow to analyze.
How Byte2Bit solves it:
- Atlas compresses multi-sensor IoT data with high fidelity, reducing storage needs by 3×–7×.
- Faster decompression accelerates dashboards, anomaly detection, and analytics pipelines.
- Enables cost-effective long-term logging and historical trend analysis.
Byte2Bit Products Used
Use Cases
Battery-Powered Sensors
Perfect for battery-powered sensors requiring minimal power consumption.
- Ultra-low footprint operation
- Extended battery life
- Real-time compression
Smart Home Devices
Enable efficient data transmission for smart home applications.
- BLE and WiFi optimization
- Low-latency streaming
- Reliable connectivity
Industrial IoT Nodes
Support industrial monitoring with efficient compression.
- Long-term data logging
- Anomaly detection
- Historical trend analysis
Benefits
Data Reduction
2X–6X
Transmitted Data Reduction
Throughput
20–50 MB/s
On Small Mcus
Storage Reduction
3X–7X
Multi-sensor Data
Battery Life
Extended
Minimal Power Consumption