The CC2564BRVMR is a highly integrated 2.4GHz wireless microcontroller from Texas Instruments, designed for ZigBee® and IEEE 802.15.4-based IoT applications. Built around an ARM® Cortex®-M3 core running at 32 MHz, this device combines a robust RF transceiver with a versatile microcontroller unit (MCU), enabling low-power, reliable communication in smart home, industrial, and sensor network systems. It supports ZigBee Pro, 6LoWPAN, and proprietary protocols, offering seamless integration into mesh and star-topology networks.
Key Features
Equipped with 128 KB Flash and 8 KB RAM, the CC2564BRVMR delivers ample processing and storage capacity for complex IoT applications. Its RF transceiver achieves a maximum output power of +4 dBm and a receiver sensitivity of -94 dBm, ensuring robust communication over distances up to 1 km in open environments. The device features a wide operating voltage range (1.8V to 3.6V), low-power modes (down to 0.8 µA in sleep), and integrated security features like AES-128 encryption. It includes multiple peripherals: 22 GPIOs, UART, SPI, I2C, and a 12-bit ADC, simplifying interface design.
Applications
Primarily used in smart home automation (e.g., lighting, security sensors), industrial IoT (asset tracking, predictive maintenance), and healthcare devices (wearables, patient monitoring), the CC2564BRVMR is ideal for battery-operated nodes requiring long-range, low-power connectivity. It is also employed in building automation systems, agricultural monitoring, and wireless sensor networks where reliable mesh networking and minimal power consumption are critical.
Summary
The CC2564BRVMR excels as a high-performance, low-power wireless MCU for IoT applications, combining robust RF capabilities, protocol flexibility, and integrated security. Its energy-efficient architecture and rich peripherals make it a cornerstone for scalable, battery-operated systems in industrial, commercial, and consumer markets. This device is essential for developers designing reliable, long-range wireless solutions in resource-constrained environments.