Validation of Wired and Wireless Interconnected Body Sensor Networks.

Autor: Talpur A; Department of Telecommunication Engineering, Mehran University of Engineering and Technology, Jamshoro 76062, Pakistan. anum.talpur@faculty.muet.edu.pk., Shaikh FK; Department of Telecommunication Engineering, Mehran University of Engineering and Technology, Jamshoro 76062, Pakistan. faisal.shaikh@faculty.muet.edu.pk., Baloch N; Department of Telecommunication Engineering, Mehran University of Engineering and Technology, Jamshoro 76062, Pakistan., Felemban E; Computer Engineering Department, Umm Al-Qura University, Makkah 21514, Saudi Arabia., Khelil A; Department of Computer Science, Landshut University of Applied Sciences, Landshut 84036, Germany., Alam MM; Thomas Johann Departmnt of Electronics, Tallinn University of Technology, Tallinn 19086, Estonia.
Jazyk: angličtina
Zdroj: Sensors (Basel, Switzerland) [Sensors (Basel)] 2019 Aug 26; Vol. 19 (17). Date of Electronic Publication: 2019 Aug 26.
DOI: 10.3390/s19173697
Abstrakt: Current medical facilities usually lead to a very high cost especially for developing countries, rural areas and mass casualty incidents. Therefore, advanced electronic health systems are gaining momentum. In this paper, we first compared our novel off the shelf experimental wired Body Sensor Networks (BSN), that is, Digital First Aid (DigiAID) with the existing commercial product called as Hexoskin. We showed the viability of DigiAID through extensive real measurements during daily activities by both male and females. It was found that the major hurdle was wires to be worn by the subjects. Accordingly, we proposed and characterized the wireless DigiAID platform for wireless BSN (WBSN). Understanding the effect of body movements on wireless data transmission in WBSN is also of major importance. Therefore, this paper comprehensively evaluates and analyzes the impact of body movements, (a) to ensure transmission of data at different radio power levels and (b) its impact on the topology of the WBSN. Based on this we have proposed a dynamic power control algorithm that adapts the transmitting power according to the packet reception in an energy efficient manner. The results show that we have achieved substantial power savings at various nodes attached to the human body.
Databáze: MEDLINE
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