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

Mo Haghighi, Pete Woznowski, Ni Zhu, Evgeny Tsimbalo, Sion Hannuna, Alison Burrows, Bo Tan, Lili Tao, Rob Piechocki

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

3 Citations (Scopus)
65 Downloads (Pure)


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.

Publisher Statement: 

Original languageEnglish
Title of host publication2015 IEEE 2nd World Forum on Internet of Things (WF-IoT)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)978-1-5090-0365-5, 978-1-5090-0366-2
ISBN (Print)978-1-5090-0367-9
Publication statusPublished - 20 Jan 2016
Externally publishedYes
Event2nd IEEE World Forum on Internet of Things - Milan, Italy
Duration: 14 Dec 201516 Dec 2015


Conference2nd IEEE World Forum on Internet of Things
Abbreviated titleWF-IoT 2015


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

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture


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