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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作滤波的AAL ZigBee无线网络性能分析

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摘要

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:本文介绍了一种新的混合仿真方法,基于内部开发的3D射线发射算法和​​协作滤波(CF)技术,该方法将用于分析基于ZigBee的无线传感器网络(WSN)的性能使环境辅助生活(aal)。通过确定性射线发射方法获得的低清晰度结果的组合和CF技术的应用导致获得准确仿真结果所需的时间和计算成本的急剧降低。本文还报告说,这种具有多种无线设备的AAL室内复杂情景需要彻底和个性化的Radipropanning分析,因为辐射划衡具有对网络拓扑的强烈依赖性以及场景的具体形态。通过我们的混合方法执行的无线信道分析为复合无线系统的网络设计阶段提供了有价值的洞察力,典型的AAL导向环境。因此,它导致优化网络部署,降低整体干扰水平,并根据成本降低,传输速率和能量效率提高整体系统性能。

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