User behavior driven MAC scheduling for body sensor networks

Mao V. Ngo, Quang Duy La, Derek Leong, Tony Q.S. Quek

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

We propose a new framework combining dynamic sampling rates for healthcare sensors driven by user behavior, and an adaptive MAC scheduling scheme applied to the time-slotted channel hopping (TSCH) protocol in IEEE 802.15.4, which provides high throughput and reliable communications. First, we introduce a system software architecture for machine-learning-assisted healthcare monitoring that detects the user's behavior using edge computing and adjusts the sampling rates of the healthcare sensors accordingly. Second, we propose an adaptive MAC scheduling scheme for TSCH based on a state machine model that reacts to the dynamic traffic generated by the healthcare sensors. In case of an urgent state, the MAC scheduler automatically allocates extra timeslots to the appropriate sensors so as to enable the reliable transfer of high-resolution sensor data for further analysis. Experimental results from our testbed, implemented in Contiki-OS on the OpenMote-CC2538 platform, show that the proposed adaptive scheduling scheme can respond quickly to changes in user behavior and ensure the reliable transfer of sensor data in emergency situations.

Original languageEnglish
Title of host publication2017 IEEE 19th International Conference on e-Health Networking, Applications and Services, Healthcom 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781509067046
DOIs
Publication statusPublished - 2017 Dec 14
Event19th IEEE International Conference on e-Health Networking, Applications and Services, Healthcom 2017 - Dalian, China
Duration: 2017 Oct 122017 Oct 15

Publication series

Name2017 IEEE 19th International Conference on e-Health Networking, Applications and Services, Healthcom 2017
Volume2017-December

Other

Other19th IEEE International Conference on e-Health Networking, Applications and Services, Healthcom 2017
CountryChina
CityDalian
Period17-10-1217-10-15

All Science Journal Classification (ASJC) codes

  • Health Informatics
  • Computer Networks and Communications
  • Computer Science Applications
  • Health(social science)

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