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Sensors 2013, 13(5), 5406-5447;

A Survey of Body Sensor Networks

Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, No. 2 Linggong Road, Ganjingzi District, Dalian 116024, China
School of Software, Dalian University of Technology, Economy and Technology Development Area, Dalian 116620, China
Authors to whom correspondence should be addressed.
Received: 19 December 2012 / Revised: 12 April 2013 / Accepted: 19 April 2013 / Published: 24 April 2013
(This article belongs to the Section Sensor Networks)
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The technology of sensor, pervasive computing, and intelligent information processing is widely used in Body Sensor Networks (BSNs), which are a branch of wireless sensor networks (WSNs). BSNs are playing an increasingly important role in the fields of medical treatment, social welfare and sports, and are changing the way humans use computers. Existing surveys have placed emphasis on the concept and architecture of BSNs, signal acquisition, context-aware sensing, and system technology, while this paper will focus on sensor, data fusion, and network communication. And we will introduce the research status of BSNs, the analysis of hotspots, and future development trends, the discussion of major challenges and technical problems facing currently. The typical research projects and practical application of BSNs are introduced as well. BSNs are progressing along the direction of multi-technology integration and intelligence. Although there are still many problems, the future of BSNs is fundamentally promising, profoundly changing the human-machine relationships and improving the quality of people’s lives. View Full-Text
Keywords: body sensor network; sensor; data fusion; network communication; practical application of BSNs body sensor network; sensor; data fusion; network communication; practical application of BSNs

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This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Lai, X.; Liu, Q.; Wei, X.; Wang, W.; Zhou, G.; Han, G. A Survey of Body Sensor Networks. Sensors 2013, 13, 5406-5447.

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