@inproceedings{0eca140374ab4e1c907a911005b116a7,
title = "Data fusion enabled approach for sleep-aware applications",
abstract = "In the big data era, thousands of hundreds of devices play the role of data producer as well as data consumer. However, wireless devices bear the power exhausted problem in various situations. How to balance the trade-off between data processing speed and power efficiency is meaningful to be researched. In this study, we propose a Sleep Data Fusion Networks module (SFDN) which has a star topology Bluetooth network to fuse data of sleep-aware applications basing on our designed application protocol. In the network, a center Bluetooth device fuses data generated from target node Bluetooth devices. Due to the low power consumption of Bluetooth as well as connection safety, our method is a better choice for a long lifetime and non-real time sleep data processing and fusion tasks then the Wi-Fi-based approach used in EAST and Smart-Alarm sleep-aware applications.",
keywords = "Bluetooth, Data Fusion, Mobile Application",
author = "Fan Yang and Yuting Yang and Jiancong Ye and Xiping Hu and Zhaolong Ning and Jianbo Zheng",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 22nd IEEE International Conference on E-Health Networking, Application and Services, HEALTHCOM 2020 ; Conference date: 01-03-2021 Through 02-03-2021",
year = "2021",
month = mar,
day = "1",
doi = "10.1109/HEALTHCOM49281.2021.9398998",
language = "English",
series = "2020 IEEE International Conference on E-Health Networking, Application and Services, HEALTHCOM 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 IEEE International Conference on E-Health Networking, Application and Services, HEALTHCOM 2020",
address = "United States",
}