Year: 2025
Type: article
Abstract: The modern living environment has been significantly improved by smart home technologies, with a key role being played by embedded temperature sensors in ensuring comfort, energy efficiency, and safety. These sensors enable smart home systems to achieve real-time temperature monitoring and automatic control of indoor climate. Furthermore, temperature sensors are also crucial for optimizing HVAC (Heating, Ventilation, and Air Conditioning) systems, energy management, and security monitoring functions. However, challenges such as sensor accuracy, power consumption, and data security still exist. This paper explores the technical foundation of temperature sensing in smart homes, focusing on sensor types, working principles, and data processing protocols. Through a literature review and comparative analysis, the performance of different temperature sensors in the smart home ecosystem, their integration strategies, and their influences on system efficiency are evaluated, along with the technical challenges and methods for effective implementation. The results demonstrate that AI-driven temperature control, low-power sensor design, and multi-sensor integration can greatly improve smart home automation. However, ensuring the stability of sensor performance under different environments and ensuring data security remain major obstacles. Tackling these challenges is crucial to further optimize smart home temperature sensing systems and make them more intelligent, efficient, and adaptable to user needs.
Author: Junzhe Luo
Institution: Beijing University of Technology
Language: English
Topic: IoT-based Smart Home Systems
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4410900976