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Performance Analysis of ZigBee Wireless Networks for AAL through Hybrid Ray Launching and Collaborative Filtering

机译:通过混合射线发射和协同过滤实现用于AAL的ZigBee无线网络的性能分析

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This paper presents a novel hybrid simulation method based on the combination of an in-house developed 3D ray launching algorithm and a collaborative filtering (CF) technique, which will be used to analyze the performance of ZigBee-based wireless sensor networks (WSNs) to enable ambient assisted living (AAL). The combination of Low Definition results obtained by means of a deterministic ray launching method and the application of a CF technique leads to a drastic reduction of the time and computational cost required to obtain accurate simulation results. The paper also reports that this kind of AAL indoor complex scenario with multiple wireless devices needs a thorough and personalized radioplanning analysis as radiopropagation has a strong dependence on the network topology and the specific morphology of the scenario. The wireless channel analysis performed by our hybrid method provides valuable insight into network design phases of complex wireless systems, typical in AAL-oriented environments. Thus, it results in optimizing network deployment, reducing overall interference levels, and increasing the overall system performance in terms of cost reduction, transmission rates, and energy efficiency.
机译:本文提出了一种基于内部开发的3D射线发射算法和​​协作过滤(CF)技术相结合的新颖混合仿真方法,该方法将用于分析基于ZigBee的无线传感器网络(WSN)的性能。启用环境辅助生活(AAL)。通过确定性射线发射方法获得的“低清晰度”结果与CF技术的应用相结合,可大幅减少获得准确的仿真结果所需的时间和计算成本。本文还报告说,这种具有多个无线设备的AAL室内复杂场景需要进行彻底且个性化的无线电规划分析,因为无线电传播强烈依赖于该场景的网络拓扑和特定形态。通过我们的混合方法执行的无线信道分析可提供对复杂无线系统的网络设计阶段的宝贵见解,这些阶段通常在面向AAL的环境中进行。因此,就成本降低,传输速率和能效而言,它可以优化网络部署,降低总体干扰水平并提高整体系统性能。

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