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首页> 外文期刊>Wireless Communications Letters, IEEE >Distributed Estimation in Homogenous Poisson Wireless Sensor Networks
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Distributed Estimation in Homogenous Poisson Wireless Sensor Networks

机译：均匀泊松无线传感器网络中的分布式估计

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摘要

In this paper we develop a homogenous Poisson point process based framework to characterize the performance of distributed estimation in wireless sensor networks. Such stochastic geometry based approaches have been shown to be robust compared to idealistic grid/ cluster models in wireless networks. We consider a fading wireless channel between the sensors and the Fusion Center (FC) and characterize the distributed estimation outage in a variety of scenarios. Towards this end we consider optimal maximal ratio combining (MRC) based coherent sensor transmission and derive closed form expressions for the outage probability. Further, we extend it to scenarios with fading channel phase based partial Channel State Information (CSI) and subsequently incorporate the effects of various path-loss models in large scale wireless sensor networks to derive bounds for the outage probability. Simulation results are presented to validate the performance of the proposed analysis.
机译：在本文中，我们开发了一个基于均匀泊松点过程的框架来表征无线传感器网络中分布式估计的性能。与无线网络中理想的网格/群集模型相比，这种基于随机几何的方法已被证明是健壮的。我们考虑了传感器与Fusion Center（FC）之间的无线信道衰落，并描述了各种情况下的分布式估算中断。为此，我们考虑基于最佳最大比率组合（MRC）的相干传感器传输，并得出停机概率的闭式表达式。此外，我们将其扩展到具有基于衰落信道相位的部分信道状态信息（CSI）的场景，随后将各种路径损耗模型的影响合并到大规模无线传感器网络中，以得出中断概率的界限。仿真结果被提出来验证所提出分析的性能。

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