Wearable IoT Data Architecture

Richard K. Lomotey, Joseph Pry, Sumanth Sriramoju, Emmanuel Kaku, Ralph Deters

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

9 Scopus citations


Internet-of-Things (IoT) devices can be employed to stream personal medical data (e.g., vitals) into healthcare information systems for the purposes of health monitoring and efficient diagnosis. A challenge however is when 'dumb' terminals are employed for the data streaming process, it is difficult to determine the originating source. This makes it even harder to match personal data from incoming devices. This paper proposes a traceability route formation using a network graph based on techniques such as tuple of inputs and the Büchi automaton. This enabled the work to provide proper trace routes for the personal data from the originating source to the destination, which can be a health information system (HIS). The results from several empirical evaluations conducted in a real-world wearable IoT ecosystem prove the feasibility of the proposed work.

Original languageEnglish (US)
Title of host publicationProceedings - 2017 IEEE 13th World Congress on Services, SERVICES 2017
EditorsRami Bahsoon, Zhixiong Chen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages7
ISBN (Electronic)9781538620021
StatePublished - Sep 13 2017
Event13th IEEE World Congress on Services, SERVICES 2017 - Honolulu, United States
Duration: Jun 25 2017Jun 30 2017

Publication series

NameProceedings - 2017 IEEE 13th World Congress on Services, SERVICES 2017


Other13th IEEE World Congress on Services, SERVICES 2017
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Information Systems and Management


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