Agent-based decentralised data-acquisition and time-synchronisation in critical healthcare applications

Mo Haghighi, Pete R Woznowski, Ni Zhu, Evgeny Tsimbalo, Sion L Hannuna, Alison B Burrows, Bo Tan, Lili Tao, Robert J Piechocki

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

3 Citations (Scopus)
321 Downloads (Pure)

Abstract

AAL platforms for health and care purposes are designed to be used by diverse stakeholders, such as household residents, carers and healthcare professionals, with equally diverse needs. Reducing the latency of such systems is key to achieving a positive user experience, as well as enabling appropriate responses to critical incidents. This paper introduces a distributed middleware solution that can improve data-acquisition, run computational algorithms locally and seamlessly deliver notifications to various subscribers. The paper further describes three time-synchronisation methods to achieve correct time-stamping of packets, using a combination of centralised and distributed packet processing.
Original languageEnglish
Title of host publication2015 IEEE 2nd World Forum on Internet of Things (WF-IoT)
Subtitle of host publicationProceedings of a meeting held 14-16 December 2015, Milan, Italy
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages81-86
Number of pages6
ISBN (Electronic)9781509003655
ISBN (Print)9781509003679
DOIs
Publication statusPublished - Apr 2016
Event2nd IEEE World Forum on Internet of Things, WF-IoT 2015 - Milan, Italy
Duration: 14 Dec 201516 Dec 2015

Conference

Conference2nd IEEE World Forum on Internet of Things, WF-IoT 2015
CountryItaly
CityMilan
Period14/12/1516/12/15

Structured keywords

  • Digital Health
  • SPHERE

Keywords

  • Agents
  • Decentralised
  • healthcare
  • Multi-threading
  • Sensomax
  • SPHERE
  • Synchronisation
  • WSN

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