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Fault Tolerant and Scalable IoT-based Architecture for Health Monitoring

Tuan Nguyen Gia, Rahmani Amir-Mohammad, Tomi Westerlund, Liljeberg Pasi, Tenhunen Hannu, Fault Tolerant and Scalable IoT-based Architecture for Health Monitoring. In: Vedran Bilas (Ed.), Fault Tolerant and Scalable IoT-based Architecture for Health Monitoring, 1–6, IEEE Xplore, 2015.

Abstract:

A novel Internet of Things based architecture supporting scalability and fault tolerance for healthcare is presented in this paper. The wireless system is constructed on top of 6LoWPAN energy efficient communication infrastructure to maximize the operation time. Fault tolerance is achieved via backup routing between nodes and advanced service mechanismsto maintain connectivity in case of failingconnections between system nodes. The presented fault tolerance approach covers many fault situations such as malfunction of sink node hardware and traffic bottleneck at a node due to a high receiving data rate. A method for extending the number of medical sensing nodes at a single gateway is presented. A complete system architecture providing a quantity of features from bio-signal acquisitionsuch as Electrocardiogram (ECG), Electroencephalography (EEG), and Electromyography (EMG)to the representation of graphical waveforms of these gathered bio-signals for remote real-time monitoring is introduced.

BibTeX entry:

@INPROCEEDINGS{inpNgRaWeLiTe15a,
  title = {Fault Tolerant and Scalable IoT-based Architecture for Health Monitoring},
  booktitle = {Fault Tolerant and Scalable IoT-based Architecture for Health Monitoring},
  author = {Nguyen Gia, Tuan and Rahmani Amir-Mohammad and Westerlund, Tomi and Liljeberg Pasi and Tenhunen Hannu},
  editor = {Bilas, Vedran},
  publisher = {IEEE Xplore},
  pages = {1–6},
  year = {2015},
  keywords = {Internet of Things, e-Health, 6LoWPAN, Wireless Sensor Network (WSN), Remote Patient Monitoring, Fault Tolerance, Scalability},
}

Belongs to TUCS Research Unit(s): Embedded Computer and Electronic Systems (ECES)

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