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Cooperative and Low-Power Wireless Sensor Network for Efficient Body-Centric Communications in Healthcare Applications

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Book cover Wireless Mobile Communication and Healthcare (MobiHealth 2012)

Abstract

Body Sensor Networks are an interesting emerging application to improve healthcare and the quality of life monitoring. In this paper, we compare the performances of multi-hop cooperative and single-hop networks with real-world sensor networks based on Zigbee technology. The network reliability, the data flow rate, the packet delivery ratio and the energy consumption are included as performances criteria. It is shown experimentally that the cooperative approach can provide a network more robust to link losses at the expenses of a lower bit rate and higher energy consumption. Specifically, for a packet delivery ratio >0.9, the cooperative scheme can provide the network with a link gain up to 14 dB traded off with an energy demand up to 30.7% higher and a data flow rate about 20% lower than a single-hop system. This work is a first exercise step in assessing reliability and life time trade-off with real-world platforms for body area sensor networks. Follow-up studies will address wireless ECG emulators with higher number of sensors (e.g. up to 10 for a typical 12-leads ECG system) employing ultra-low power chipsets in different specific health monitoring environments.

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© 2013 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Di Bari, R., Alomainy, A., Hao, Y. (2013). Cooperative and Low-Power Wireless Sensor Network for Efficient Body-Centric Communications in Healthcare Applications. In: Godara, B., Nikita, K.S. (eds) Wireless Mobile Communication and Healthcare. MobiHealth 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 61. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37893-5_39

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  • DOI: https://doi.org/10.1007/978-3-642-37893-5_39

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37892-8

  • Online ISBN: 978-3-642-37893-5

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