Data fusion enabled approach for sleep-aware applications

Fan Yang*, Yuting Yang, Jiancong Ye, Xiping Hu*, Zhaolong Ning, Jianbo Zheng*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publication2020 IEEE International Conference on E-Health Networking, Application and Services, HEALTHCOM 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728162676
DOIs
Publication statusPublished - 1 Mar 2021
Externally publishedYes
Event22nd IEEE International Conference on E-Health Networking, Application and Services, HEALTHCOM 2020 - Shenzhen, China
Duration: 1 Mar 20212 Mar 2021

Publication series

Name2020 IEEE International Conference on E-Health Networking, Application and Services, HEALTHCOM 2020

Conference

Conference22nd IEEE International Conference on E-Health Networking, Application and Services, HEALTHCOM 2020
Country/TerritoryChina
CityShenzhen
Period1/03/212/03/21

Keywords

  • Bluetooth
  • Data Fusion
  • Mobile Application

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