Journal of Semiconductor Devices and Circuits Review Article

Advancing IoT Connectivity through Very Large-Scale Integration of Semiconductor Technology

  1. Kazi Kutubuddin Sayyad Liyakat Department of Electronics and Telecommunication Engineering, Brahmdevdada Mane Institute of Technology, Solapur
  2. Kazi Sultanabanu Sayyad Liyakat Department of General Science and Engineering, Brahmdevdada Mane Institute of Technology, Solapur

Abstract

The term "integrated circuit" as it is currently used typically refers to a monolithic IC, which is significantly different from an HIC in that the former is created by joining several components on a substrate, while the latter is created in a sequence of steps using a single wafer that is subsequently divided into chips. Hybrid chips are perfect for complicated applications in sectors like artificial intelligence (AI), the Internet of Things (IoT), and other cutting-edge fields because they combine many technologies to give more specialized and flexible solutions. Monolithic integrated circuits may be found in some hybrid circuits, especially Multi-chip Module (MCM) hybrid circuits. The advancement of Very Large-Scale Integration technology has significantly transformed the landscape of electronic systems, particularly in context of the Internet of Things (IoT). This paper explores the integration of VLSI design with IoT sensors, focusing on the benefits of miniaturization, energy efficiency, and enhanced performance. With proliferation of smart devices, demand for efficient data processing and low-power consumption has increased, leading to the development of specialized hybrid chips tailored for IoT applications. This study highlights innovative design methodologies, including system-on-chip (SoC) architectures that facilitate seamless connectivity and data acquisition from a multitude of IoT sensors. By employing modern fabrication processes and design tools, VLSI solutions can addresses unique challenges posed by the IoT ecosystem, fostering advancements in smart cities, healthcare, and industrial automation.

Keywords

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