Internet of Things for Green Building Management: Disruptive Innovations Through Low-Cost Sensor Technology and Artificial Intelligence
Summary. Buildings consume 60% of global electricity, but traditional management systems are expensive and impractical for small and medium-sized buildings. This paper demonstrates how Internet of Things sensors combined with artificial intelligence can monitor building energy use affordably. Low-cost IoT devices track occupancy and human activity patterns, enabling building managers to identify energy-saving opportunities and reduce consumption without expensive infrastructure.
Cite this article
Tushar, W., Wijerathne, N., Li, W., Yuen, C., Poor, H. V., Saha, T. K., & Wood, K. L.. (2018). Internet of Things for Green Building Management: Disruptive Innovations Through Low-Cost Sensor Technology and Artificial Intelligence. IEEE Signal Processing Magazine. https://doi.org/10.1109/msp.2018.2842096
Tushar, Wayes, et al. “Internet of Things for Green Building Management: Disruptive Innovations Through Low-Cost Sensor Technology and Artificial Intelligence.” IEEE Signal Processing Magazine, 2018. https://doi.org/10.1109/msp.2018.2842096.
Tushar, Wayes, Nipun Wijerathne, Wen-Tai Li, Chau Yuen, H. Vincent Poor, Tapan Kumar Saha, and Kristin L. Wood. 2018. “Internet of Things for Green Building Management: Disruptive Innovations Through Low-Cost Sensor Technology and Artificial Intelligence.” IEEE Signal Processing Magazine. https://doi.org/10.1109/msp.2018.2842096.
@article{tushar-2018-internet-things-green-building-management,
title = {Internet of Things for Green Building Management: Disruptive Innovations Through Low-Cost Sensor Technology and Artificial Intelligence},
author = {Wayes Tushar and Nipun Wijerathne and Wen-Tai Li and Chau Yuen and H. Vincent Poor and Tapan Kumar Saha and Kristin L. Wood},
journal = {IEEE Signal Processing Magazine},
year = {2018},
doi = {10.1109/msp.2018.2842096},
url = {https://doi.org/10.1109/msp.2018.2842096}
}
TY - JOUR TI - Internet of Things for Green Building Management: Disruptive Innovations Through Low-Cost Sensor Technology and Artificial Intelligence AU - Wayes Tushar AU - Nipun Wijerathne AU - Wen-Tai Li AU - Chau Yuen AU - H. Vincent Poor AU - Tapan Kumar Saha AU - Kristin L. Wood JO - IEEE Signal Processing Magazine PY - 2018 DO - 10.1109/msp.2018.2842096 UR - https://doi.org/10.1109/msp.2018.2842096 ER -
Details
- DOI
- 10.1109/msp.2018.2842096
- Countries
- Australia, United States
- Regions
- Oceania, North America
- Categories
- energy, broadband-and-digital, general-innovation
- Added
- 2026-04-28