In recent years, the integration of Micro-Electro-Mechanical Systems (MEMS) into sensor networks has shown promising potential for advancing circuit theory applications. This research addresses the increasing demand for efficient and high-performance implementations by proposing a novel methodology utilizing Field-Programmable Gate Arrays (FPGA). As circuit theory applications continue to evolve, there is a pressing need for innovative solutions that can handle the intricate demands of modern electronic systems. MEMS sensor networks offer advantages in terms of miniaturization, low power consumption, and enhanced sensing capabilities. However, existing implementations face challenges in achieving real-time processing and scalability, prompting the exploration of FPGA-based solutions. Current implementations of MEMS sensor networks for circuit theory applications often encounter bottlenecks related to processing speed and resource utilization. The research gap lies in the lack of efficient methodologies that can harness the parallel processing capabilities of FPGAs to address these challenges, ensuring real-time data processing and optimal resource allocation. The proposed methodology involves the design and implementation of an FPGA-based architecture specifically tailored for MEMS sensor networks. Leveraging the parallel processing capabilities of FPGAs, the architecture aims to enhance real-time data processing, reduce latency, and provide scalability for diverse circuit theory applications. The integration of FPGA with MEMS sensor networks is expected to result in a versatile platform capable of handling complex tasks efficiently. The results demonstrate significant improvements in processing speed and resource utilization compared to traditional implementations. The FPGA-based MEMS sensor network architecture exhibits enhanced performance in real-time circuit theory applications.
R. Gowrishankar1, Rotash Kumar2, Vibhor Kumar Singh3, N. Jayalakshmi4
Kalaignarkarunanidhi Institute of Technology, India1, Government Engineering College, Jhalawar, India2, Maharishi University of Information Technology, India3, PSNA College of Engineering and Technology, India4
FPGA, MEMS, Sensor Networks, Circuit Theory, Real-time Processing
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| Published By :
ICTACT
Published In :
ICTACT Journal on Microelectronics
( Volume: 9 , Issue: 4 , Pages: 1653 - 1657 )
Date of Publication :
January 2024
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