naa a22 4500 51079632X CHVBK 20180411083338.0 cr unu---uuuuu 180411e20130201xx s 000 0 eng 10.1007/s11277-012-0548-z doi (NATIONALLICENCE)springer-10.1007/s11277-012-0548-z Lifetime Estimation of Wireless Body Area Sensor Networks Using Probabilistic Analysis [Elektronische Daten] [Frank Agyei-Ntim, Kimberly Newman] A framework is proposed for estimating the lifetime of wireless body area sensor network (WBASN) using probabilistic analysis and Monte Carlo simulation. WBASN implements real-time health monitoring by outfitting patients with wireless, wearable vital sign sensors. In health monitoring, the loss of critical or emergency information is a serious issue so there is a need to ensure quality of service. It is important to have an estimate of the lifetime of the network in order to replace or recharge the batteries because the loss of critical data is not acceptable. The lifetime of the WBASN is defined as the duration of time until the first node fails due to battery depletion. Heart rate and blood glucose are monitored at a central location in a managed health care environment for this evaluation of WBASN performance. A parametric model of a health monitoring network (HMN) is created with sets of random input distributions. Probabilistic analysis is used to determine the timing and distribution of node failure in the HMN. Springer Science+Business Media, LLC., 2012 Lifetime estimation nationallicence Health monitoring networks nationallicence Probabilistic analysis nationallicence Agyei-Ntim Frank Electrical, Computer, and Energy Engineering, University of Colorado, 80309, Boulder, CO, USA aut Newman Kimberly Electrical, Computer, and Energy Engineering, University of Colorado, 80309, Boulder, CO, USA aut Wireless Personal Communications Springer US; http://www.springer-ny.com 68/4(2013-02-01), 1745-1759 0929-6212 68:4<1745 2013 68 11277 https://doi.org/10.1007/s11277-012-0548-z text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-012-0548-z text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Agyei-Ntim Frank Electrical, Computer, and Energy Engineering, University of Colorado, 80309, Boulder, CO, USA aut NATIONALLICENCE 700 1- Newman Kimberly Electrical, Computer, and Energy Engineering, University of Colorado, 80309, Boulder, CO, USA aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 68/4(2013-02-01), 1745-1759 0929-6212 68:4<1745 2013 68 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer