DocumentCode :
159573
Title :
Towards accurate mobility and radio link modeling for IEEE 802.15.6 wearable body sensor networks
Author :
Alam, Md Moktadir ; Ben Hamida, Elyes
Author_Institution :
Qatar Mobility Innovation Center (QMIC), Doha, Qatar
fYear :
2014
fDate :
8-10 Oct. 2014
Firstpage :
298
Lastpage :
305
Abstract :
In this paper accurate mobility and radio link modeling for intra-body communication is presented. The proposed enhanced mobility and radio link models introduce space and time variations to existing IEEE 802.15.6 channel models which can be used for better performance evaluation of new and existing algorithms and protocols. The contributions of this paper are in many folds. First, an accurate pathloss model is developed using real-time motion capture trace which provide dynamic distances for the space-time variations and temporal correlation in time. Further, the accurate mobility model is used to distinguish Line of Sight (LOS), Non Line Of Sight (NLOS) and periodic (or time varying) radio links. Second, a comprehensive radio link modeling approach is proposed, including the computations of SNR (Signal to Noise Ratio), BER (Bit Error Rate) and PER (Packet Error Rate) which are accurately evaluated after achieving realistic pathloss across all the links locations. Finally, we assess the impact of the proposed enhanced models on the performance evaluation of the IEEE 802.15.6 MAC protocol. The obtained results show between 10% to 30% lower packet delivery (depending on the considered mobility scenarios and physical layer parameters) due to accurate modeling.
Keywords :
access protocols; body sensor networks; error statistics; mobile radio; performance evaluation; personal area networks; radio links; BER computation; IEEE 802.15.6; LOS; MAC protocol; NLOS; PER computation; SNR calculation; bit error rate; channel models; dynamic distances; intra-body communication; line of sight; mobility enhancement; nonline of sight; packet error rate; pathloss model; performance evaluation; physical layer parameters; radio link modeling; real-time motion capture trace; signal to noise ratio; space-time variations; temporal correlation; time variations; wearable body sensor networks; Channel models; Computational modeling; Correlation; IEEE 802.15 Standards; Performance evaluation; Radio link; IEEE 802.15.6; Mobility Modeling; Performance Evaluation; Radio Link Modeling; Space-Time Varying Channel; Wearable Body Sensor Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless and Mobile Computing, Networking and Communications (WiMob), 2014 IEEE 10th International Conference on
Conference_Location :
Larnaca
Type :
conf
DOI :
10.1109/WiMOB.2014.6962186
Filename :
6962186
Link To Document :
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