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Enhance information acquired efficiency for wireless sensors networks via multi-bit decision fusion

机译:通过多位决策融合提高无线传感器网络的信息获取效率

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This paper proposes an improving data fusion approach to enhance the efficient of data aggregation via Zigbee and embedded system. Distributed multi-sensor networks are an emerging technology that this study considers the problem of data fusion in wireless sensor network (WSNs) for event detection application. For such an application, maximizing accuracy and network lifetime are the two primary requirements in the design of WSNs. In our previous study, multi-sensors detecting signal process and embedded system have both established in our researches platform, thus, sensors of detecting measurements and signals which have stored in computers are transformed into brand-new system structure in SOC sensor chip of embedded system. In this paper, we improved an optimum one bit data fusion approach that has been proposed which is derived from an optimum likelihood ratio test via a star topology. According this multi-bit decision fusion approach, as a lot of nodes are used and combined with embedded system, efficiency of real-time transmission can be improved.
机译:本文提出了一种改进的数据融合方法,以提高通过Zigbee和嵌入式系统进行数据聚合的效率。分布式多传感器网络是一项新兴技术,这项研究考虑了用于事件检测的无线传感器网络(WSN)中的数据融合问题。对于这样的应用,最大化准确性和网络寿命是WSN设计中的两个主要要求。在我们先前的研究中,在我们的研究平台中建立了多传感器检测信号处理和嵌入式系统,因此,将存储在计算机中的检测测量和信号的传感器转换为嵌入式系统的SOC传感器芯片中的全新系统结构。 。在本文中,我们改进了一种已提出的最佳一位数据融合方法,该方法是通过星形拓扑从最佳似然比测试得出的。根据这种多位决策融合方法,由于使用了大量的节点并将其与嵌入式系统相结合,因此可以提高实时传输的效率。

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