Emerging Advances Challenges and Future Directions for Temperature Sensors in Wireless Sensor Networks
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Emerging Advances Challenges and Future Directions for Temperature Sensors in Wireless Sensor Networks

Jialin Li 1*
1 University of Shanghai for Science and Technology
*Corresponding author: 19370730309@163.com
Published on 2 October 2025
Journal Cover
ACE Vol.187
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-80590-393-2
ISBN (Online): 978-1-80590-394-9
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Abstract

The swift progress of Wireless Sensor Networks (WSNs) and Internet of Things (IoT) technologies has elevated the significance of temperature monitoring in industrial, environmental, and intelligent systems. However, core issues like measurement accuracy, energy efficiency, and system scalability continue to limit its widespread application. This paper explores recent advances in temperature sensing technologies in WSNs, addressing challenges such as accuracy, energy efficiency, and adaptability, while investigating related optimization methods. Through a review of relevant literature and evaluation of case studies, it examines the advantages and limitations of current technologies, thus highlighting major challenges and possible solutions. The results demonstrate that despite significant progress, challenges persist in adapting to dynamic environments and maintaining long-term stability, with future improvements expected to arise from the incorporation of innovative materials and advanced algorithms.

Keywords:

Wireless Sensor Networks (WSNs), Temperature Sensor, Energy Efficiency, Sensor Calibration, IoT Applications

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Li,J. (2025). Emerging Advances Challenges and Future Directions for Temperature Sensors in Wireless Sensor Networks. Applied and Computational Engineering,187,13-19.

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Cite this article

Li,J. (2025). Emerging Advances Challenges and Future Directions for Temperature Sensors in Wireless Sensor Networks. Applied and Computational Engineering,187,13-19.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

About volume

Volume title: Proceedings of CONF-FMCE 2025 Symposium: Semantic Communication for Media Compression and Transmission

ISBN: 978-1-80590-393-2(Print) / 978-1-80590-394-9(Online)
Editor: Anil Fernando
Conference date: 24 October 2025
Series: Applied and Computational Engineering
Volume number: Vol.187
ISSN: 2755-2721(Print) / 2755-273X(Online)