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Towards accurate mobility and radio link modeling for IEEE 802.15.6 wearable body sensor networks

机译:为IEEE 802.15.6可穿戴式人体传感器网络实现精确的移动性和无线电链路建模

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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.
机译:在本文中,提出了用于体内通信的精确移动性和无线电链路建模。所提出的增强的移动性和无线电链路模型将空间和时间变化引入到现有的IEEE 802.15.6信道模型中,这些模型可用于更好地评估新的和现有的算法和协议的性能。本文的贡献有很多方面。首先,使用实时运动捕捉轨迹开发了精确的路径损耗模型,该轨迹为时空变化和时间上的时间相关性提供了动态距离。此外,精确的移动性模型用于区分视线(LOS),非视线(NLOS)和周期性(或随时间变化)的无线电链路。其次,提出了一种综合的无线电链路建模方法,包括在所有链路位置实现实际路径损耗之后,对SNR(信噪比),BER(误码率)和PER(分组误码率)进行精确评估。最后,我们评估提出的增强模型对IEEE 802.15.6 MAC协议的性能评估的影响。由于精确的建模,所获得的结果表明,数据包传递降低了10%到30%(取决于所考虑的移动性方案和物理层参数)。

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