Academic Press Library in Biomedical Applications of Mobile by Matti Hamalainen, Lorenzo Mucchi

By Matti Hamalainen, Lorenzo Mucchi

Wireless sensor and physique sector networks (WSN and WBAN respectively) were obvious as a destiny technique to computer screen people' psycho-physiological symptoms remotely. there are many criteria which may be used for development WBAN sytems. even though, instant UWB networks according to IEEE 802.15.4a supply the benefits of a wide frequency variety and occasional energy spectral density, making it compatible for either WSNs and WBANs used for clinical functions. The know-how has matured sufficiently that it may be used to enhance items for undefined. This publication provides how the IEEE802.15.4-2011 (former IEEE802.15.4a) can be utilized in instant physique sector networks (WBAN) for healthcare and welfare comparable purposes. It supplies a quick assessment at the IEEE802.15.4 kin after which provides information of IEEE802.15.4-2011 established solutions.

  • Presents how the  IEEE802.15.4-2011 (former IEEE802.15.4a) can be utilized in  instant physique zone networks (WBAN) for healthcare and welfare comparable applications. 
  • Gives a quick review at the IEEE802.15.4 family members.
  • Gives info of IEEE802.15.4-2011 established solutions. 

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Extra resources for Academic Press Library in Biomedical Applications of Mobile and Wireless Communications: Wireless UWB Body Area Networks. Using the Ieee802.15.4-2011

Sample text

4: Low-Rate Wireless Personal Area Networks (LR-WPANs)—Amendment 5: Physical Layer Specifications for Low Energy, Critical Infrastructure Monitoring Networks. 4kt 2 2013, IEEE Computer Society, 149 pp. 32 Wireless UWB Body Area Networks [14] Gutièrrez J, Winkel L, Callaway Jr E, Barrett Jr R. Low-rate wireless personal area networks. 4t Standards Information Network. New York, NY: IEEE Press; 2010, 245 pp. [15] Karapistoli E, Pavlidou F-N, Gragopoulus I, Tsetsinas I. 4a standard. IEEE Commun Mag 2010;48(1):47À53.

The receiver performances are presented as a function of SNR (Eb/N0) if not otherwise stated. The energy of one bit, Eb, contains the signal energy included in one burst (see Figure 4) and N0 represents zero mean Gaussian noise. To get reliable simulation results, 106 bits per each Eb/N0 value are transmitted through the channel. As shown in Ref. [64], the energy detection receiver is very sensitive to the symbol rate in additive white Gaussian noise (AWGN) channel. The higher the Rd, the better is the performance.

The PHY studied in this book is based on IR-UWB technology. WBANs targeted for healthcare and welfare applications are one interesting implementation area where the standard can successfully be exploited. However, the background of the standard development was in M2M type connections, which makes the standard based solutions widely recoverable. Nowadays, the technology is matured and there is plenty of research behind the current state of the art. This short book presented briefly the performance comparisons between the different receiver structures, specified by the standard, for human body area communication used in healthcare and welfare applications.

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