Skip to main navigation Skip to search Skip to main content

A high data rate, multi-nodes wireless personal-area sensor network for real-time data acquisition and control

  • Qisong Wang
  • , Xin Chai
  • , Yuan Wang
  • , Dan Liu
  • , Ming Chen
  • , Yong Li
  • , Xin Liu
  • , Ou Bai
  • School of Electrical Engineering and Automation, Harbin Institute of Technology
  • School of Transportation Science and Engineering, Harbin Institute of Technology
  • Florida International University

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

Abstract

Traditional wireless personal-area sensor network accesses physiological signals from a small number of sensor nodes under a low data communication rate. Some clinical applications, e.g. gait control and posture analysis, may need to access physiological signals from a large number of sensor nodes across body under a faster data communication speed in real-time or at least near real-time. This clinical need introduces a new challenge in the design of high-throughput wireless bodyarea sensor networks with a large capacity of sensor nodes. This paper describes the design of a high-throughput, multi-nodes wireless sensor network platform based on the state-of-the-art single-chip microcontroller unit technology with built-in Wi-Fi connectivity. Experimental test demonstrated that the developed wireless sensor network platform was able to support multi-nodes sensor access (10-20) concurrently under a high data sampling rate (>500Hz) in near real-time with a very low packet lost rate (<1%). The designed platform may serve as an alternative solution complement to those wireless sensor networks enabled by the low-power, low-communication rate technology.

Original languageEnglish
Title of host publication1st International Conference on Electronics Instrumentation and Information Systems, EIIS 2017
EditorsJun-Bao Li
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-5
Number of pages5
ISBN (Electronic)9781538608432
DOIs
StatePublished - 2 Jul 2017
Externally publishedYes
Event1st International Conference on Electronics Instrumentation and Information Systems, EIIS 2017 - Harbin, China
Duration: 3 Jun 20175 Jun 2017

Publication series

Name1st International Conference on Electronics Instrumentation and Information Systems, EIIS 2017
Volume2018-January

Conference

Conference1st International Conference on Electronics Instrumentation and Information Systems, EIIS 2017
Country/TerritoryChina
CityHarbin
Period3/06/175/06/17

Keywords

  • EEG
  • EMG
  • Sensor network
  • WPAN

Fingerprint

Dive into the research topics of 'A high data rate, multi-nodes wireless personal-area sensor network for real-time data acquisition and control'. Together they form a unique fingerprint.

Cite this