VLSI for IoT and M2M

VLSI (Very Large Scale Integration) technology plays a crucial role in advancing IoT (Internet of Things) and M2M (Machine-to-Machine) systems by enabling the design of compact, low-power, and high-performance hardware. Through the integration of processing cores, memory, sensors, and communication modules into a single chip-such as a System-on-Chip (SoC) or System-in-Package (SiP)-VLSI supports the development of intelligent edge devices capable of real-time data processing and secure communication. It enables support for diverse communication protocols like NB-IoT, LoRa, ZigBee, Wi-Fi, and BLE while incorporating hardware-level security features such as encryption engines and secure key storage. Reconfigurable architectures, like FPGAs, further add flexibility for protocol adaptation and post-deployment updates. VLSI also supports AI acceleration at the edge, enabling predictive maintenance and autonomous operation in M2M systems. As a result, VLSI stands as a foundational technology for the evolution of scalable, reliable, and intelligent IoT and M2M applications across various industries, including smart cities, healthcare, agriculture, and industrial automation.

Autorentext

V.R. Balaji has completed his PhD from Anna University, Chennai. He is currently working as a Professor in the Department of Electronics and Communication Engineering in Sri Krishna College of Engineering and Technology, Coimbatore. His area of research includes Speech signal processing, VLSI and Image Processing.