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Sensors 2013, 13(6), 7546-7569; doi:10.3390/s130607546

Accurate Human Tissue Characterization for Energy-Efficient Wireless On-Body Communications

1
Grupo de Automática de la UNAL, Departamento de Energía Eléctrica y Automática, Facultad de Minas, Universidad Nacional de Colombia - Sede Medellín, Cra 80 No.65-223, Medellín, Colombia
2
Department of Computer Architecture and Automation, Complutense University of Madrid, C/Profesor José García Santesmases, s/n, Madrid 28040, Spain
*
Author to whom correspondence should be addressed.
Received: 29 March 2013 / Revised: 27 May 2013 / Accepted: 3 June 2013 / Published: 10 June 2013
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Abstract

The demand for Wireless Body Sensor Networks (WBSNs) is rapidly increasing due to the revolution in wearable systems demonstrated by the penetration of on-the-body sensors in hospitals, sports medicine and general health-care practices. In WBSN, the body acts as a communication channel for the propagation of electromagnetic (EM) waves, where losses are mainly due to absorption of power in the tissue. This paper shows the effects of the dielectric properties of biological tissues in the signal strength and, for the first time, relates these effects with the human body composition. After a careful analysis of results, this work proposes a reactive algorithm for power transmission to alleviate the effect of body movement and body type. This policy achieves up to 40.8% energy savings in a realistic scenario with no performance overhead. View Full-Text
Keywords: Wireless Body Sensor Networks (WBSNs); human body communication; Received Signal Strength Indication (RSSI); body type; tissues; electromagnetic Wireless Body Sensor Networks (WBSNs); human body communication; Received Signal Strength Indication (RSSI); body type; tissues; electromagnetic
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Vallejo, M.; Recas, J.; del Valle, P.G.; Ayala, J.L. Accurate Human Tissue Characterization for Energy-Efficient Wireless On-Body Communications. Sensors 2013, 13, 7546-7569.

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