Paper Info
Title
Performance evaluation of channel models of Zigbee sensor networks
Abstract
The ability to achieve a reliable and optimal design of a WBAN communication system relies largely on a thorough understanding of signal propagation through and around the complex human body as a medium, which differs significantly from one person to another. Hence, it is necessary to model the human body of interest in its corresponding environment to have a successful, reliable, and optimal WBAN. In this paper, we provide a path-loss model of the propagation channel medium between a transmitter antenna and a receiver antenna based on multiple experimental measurements. A number of transmit antennas (Tx) are situated on a wearable sensor nodes and spread on different major parts of the human body, while the receiver antenna (Rx) is kept on a sink node in constant proximity to the human body. The Tx and Rx devices communicate using ZigBee technology on 2.45 GHz band. Current literature addressed channel analysis at 2.45GHz around the surface of the body assuming simplified simulation setup or/and overlooking the impact of the indoor office environment. Our contribution in this paper is to investigate 2.45GHz Zigbee statistical path-loss model thoroughly based on realistic setup and using off-the-shelf devices in an indoor office environment. Channel characteristics from the experimental measurements are compared against representative semi-empirical path loss and log-normal shadowing models.
Year
DOI
Venue
2012
10.1109/IWCMC.2012.6314317
Wireless Communications and Mobile Computing Conference
Keywords
Field
DocType
Zigbee,body sensor networks,receiving antennas,telecommunication network reliability,transmitting antennas,WBAN communication system,Zigbee sensor networks,channel models,frequency 2.45 GHz,human body,indoor office environment,log normal shadowing models,path loss model,performance evaluation,propagation channel medium,receiver antenna,semiempirical path loss,signal propagation,transmitter antenna,wearable sensor nodes,Channel Model,Path-loss,WBAN,Zigbee
Wearable computer,Computer science,Computer network,Communications system,Communication channel,Optimal design,Path loss,Wireless sensor network,Radio propagation,NeuRFon
Conference
ISSN
ISBN
Citations 
2376-6492
978-1-4577-1378-1
0
PageRank 
References 
Authors
0.34
4
2
Name
Order
Citations
PageRank
Najah A. Abu Ali110012.40
Mohammad Hayajneh2255.67