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Customizing 6LoWPAN Networks Towards Internet-of-Things Based Ubiquitous Healthcare Systems

Gia Tuan Nguyen, Nanda Kumar Thanigaivelan, Amir-Mohammad Rahmani, Tomi Westerlund, Pasi Liljeberg, Hannu Tenhunen, Customizing 6LoWPAN Networks Towards Internet-of-Things Based Ubiquitous Healthcare Systems. In: Tor S. Lande, Kari Halonen, Erik Bruun, Jan Madsen, Viktor Öwall, Peeter Ellervee, Jari Nurmi, Atila Alvandpour (Eds.), NORCHIP 2014, 1–6, Institute of Electrical and Electronics Engineers, 2014.

Abstract:

Embedded devices with enhanced communication capabilities, Internet of Things (IoT), are able to perform a wide variety of different tasks at present. One rapidly increasing application domain is healthcare. In this paper, we present an IoT-based architecture and system implementation for healthcare applications. The presented IoT-based system provides a cost-effective and easy way to analyze and monitor, either remotely or on the spot, real-time health data such as Electrocardiogram (ECG) and Electromyography (EMG) data. Health data is transmitted by utilizing IPv6 over low power wireless area networks (6LoWPAN). Our efficient customization of the 6LoWPAN network for health data provides energy efficient and reliable transmission in different scenarios that is required in several healthcare applications

BibTeX entry:

@INPROCEEDINGS{inpNgKuRaWeLiTe14a,
  title = {Customizing 6LoWPAN Networks Towards Internet-of-Things Based Ubiquitous Healthcare Systems},
  booktitle = {NORCHIP 2014},
  author = {Nguyen, Gia Tuan and Kumar Thanigaivelan, Nanda and Rahmani, Amir-Mohammad and Westerlund, Tomi and Liljeberg, Pasi and Tenhunen, Hannu},
  editor = {Lande, Tor S. and Halonen, Kari and Bruun, Erik and Madsen, Jan and Öwall, Viktor and Ellervee, Peeter and Nurmi, Jari and Alvandpour, Atila},
  publisher = {Institute of Electrical and Electronics Engineers},
  pages = {1–6},
  year = {2014},
  keywords = {Internet of Things, e-Health, 6LoWPAN, Wireless Sensor Network (WSN), Remote Patient Monitoring},
}

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

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