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VLSI-Based Multi-Zone Smart Home Controller with FSM-Driven Automation Using Round-Robin Arbitration and Power Optimization

Publication Type : Journal Article

Publisher : IEEE

Source : 2025 IEEE PES GTD Grand International Conference and Exposition Asia (GTD Asia)

Url : https://doi.org/10.1109/gtdasia60461.2025.11313263

Campus : Chennai

School : School of Engineering

Year : 2025

Abstract : The evolution of smart home technologies has generated a need for advanced, multi-zone controllers capable of providing automation, optimizing resource allocation, and minimizing power consumption. Conventional systems frequently lack effective arbitration mechanisms and do not optimize energy usage across several active zones. This study introduces a VLSI- based multi-zone smart home controller developed in Verilog, utilizing finite state machines (FSMs) for zone-level automation, a round-robin arbiter for equitable resource distribution, and clock gating methods for power optimization. Each zone is represented as an independent FSM that reacts to motion and temperature changes, while the global arbiter guarantees balanced access to shared devices like HVAC systems. The results indicate successful automation with decreased switching activity, fair arbitration among competing zones, and considerable power savings in comparison to ungated designs. This design underscores the practicality of incorporating FSM-driven control and power- aware strategies into VLSI-based smart home solutions, setting the stage for future FPGA implementations with improved features such as emergency response and real-time logging. This study focuses on the necessity for intelligent automation within multi-room settings, such as smart homes, facilitating enhanced energy efficiency and comfort via hardware-level management.

Cite this Research Publication : K. Jnana Varshitha, L. Pavan Kumar, B. Devanathan, S. A. Lakshmanan, N. Krishna Prakash, VLSI-Based Multi-Zone Smart Home Controller with FSM-Driven Automation Using Round-Robin Arbitration and Power Optimization, 2025 IEEE PES GTD Grand International Conference and Exposition Asia (GTD Asia), IEEE, 2025, https://doi.org/10.1109/gtdasia60461.2025.11313263

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