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Optimal quantization and energy allocation schemes in distributed estimation for wireless sensor networks

机译:无线传感器网络分布式估计中的最佳量化和能量分配方案

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We consider a distributed estimation for wireless sensor networks wireless sensor network with a fusion center (FC) which collects data from sensor nodes. The sensor quantized their observations and transmitted the quantized observations to a FC over flat fading Rayleigh channel with path-loss effects. We consider two allocation strategies as the goals of this paper. These are the optimal energy allocation scheme and the optimal number of quantization bits at sensor nodes under strict energy constraints, while the noisy channel between each sensor and FC modelled as flat-fading Rayleigh channel. Optimality here is defined in the sense of minimizing the reconstruction error at the FC.
机译:我们考虑无线传感器网络的分布式估计,该无线传感器网络具有融合中心(FC),该中心从传感器节点收集数据。传感器将其观测值量化,并将量化的观测值通过具有路径损耗效应的平坦衰落瑞利信道传输到FC。我们考虑两种分配策略作为本文的目标。这些是在严格的能量约束下传感器节点上的最佳能量分配方案和最佳量化位数,而每个传感器与FC之间的噪声通道则建模为平坦衰落瑞利通道。此处的最佳性是从最小化FC处的重建误差的角度定义的。

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