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Sensor Cooperation Based on Network Coding in Wireless Body Area Networks

机译:无线体域网中基于网络编码的传感器协作

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In a typical monitoring system, physiological parameters such as Electrocardiography (ECG), Electromyography (EMG), and Electroencephalography (EEG) from various sensors placed strategically on human body are monitored for providing real-time feedback to the patient and medical staffs. For traditional point-to-point WBAN communication systems, sensors data are sent directly to the central sensor. In the direct transmission, those sensors' signals are affected by fading because of reflection, diffraction, energy absorption, shadowing by body, body movement, clothes and the surrounding environment. To combat fading effect effectively, this paper attempts to introduce energy efficient network coding into novel MIMO-based multi sensor cooperation. In this paper, we investigate the performance in terms of system outage probability of proposed technique in comparisons to direct transmission, traditional cooperation and network coding-based sensor cooperation. Simulation results verify the accuracy of the analysis and demonstrate that cooperative communication scheme based on network coding in WBAN channel provides superior performance compared to other two schemes.
机译:在典型的监视系统中,对来自战略性地放置在人体上的各种传感器的生理参数(例如心电图(ECG),肌电图(EMG)和脑电图(EEG))进行监视,以向患者和医护人员提供实时反馈。对于传统的点对点WBAN通信系统,传感器数据直接发送到中央传感器。在直接传输中,这些传感器的信号会因反射,衍射,能量吸收,身体遮挡,身体运动,衣服和周围环境而受到衰落的影响。为了有效地应对衰落效应,本文尝试将节能网络编码引入基于MIMO的新型多传感器协作中。在本文中,我们通过与直接传输,传统协作和基于网络编码的传感器协作相比,研究了所提出技术在系统中断概率方面的性能。仿真结果验证了分析的准确性,并证明与其他两种方案相比,基于WBAN信道中网络编码的协作通信方案具有更高的性能。

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