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首页> 外文期刊>International Journal of Distributed Sensor Networks >Optimal Energy Allocation Scheme in Distributed Estimation for Wireless Sensor Networks over Rayleigh Fading Channels
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Optimal Energy Allocation Scheme in Distributed Estimation for Wireless Sensor Networks over Rayleigh Fading Channels

机译:瑞利衰落信道上无线传感器网络分布式估计中的最佳能量分配方案

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We focus on the issue of energy and bandwidth limitations in Wireless Sensor Networks(WSN). To tackle this issue, we propose the optimal energy allocation scheme and the optimal numberof quantization bits by using alternating optimization method. Firstly, we determine the optimal energyallocation scheme which minimizes the reconstruction error on fusion center by keeping the numberof quantization bits per sensor fixed. Secondly, we determine the optimal number of quantization bitsper sensor such that the energy allocation scheme achieves the minimum reconstruction error. To findthe optimal energy allocation scheme and the optimal number of quantization bits jointly, we proposean iterative algorithm. The results show that the proposed algorithms do not only achieve better resultsthan equal energy allocation scheme but also produce reconstruction error close to that of un-quantizedestimation. This paper also investigates the effects of sensor noise observation and propagation losseson the design of optimal energy allocation scheme. The optimal energy allocation scheme suggests theallocation of more energy to sensors with small variance noise of sensor observation.
机译:我们关注无线传感器网络(WSN)中的能量和带宽限制问题。为了解决这个问题,我们提出了采用交替优化方法的最佳能量分配方案和最佳量化位数。首先,我们确定最佳的能量分配方案,该方案通过使每个传感器的量化位数保持固定来最大程度地减小融合中心的重构误差。其次,我们确定每个传感器的最佳量化位数,以使能量分配方案获得最小的重构误差。为了找到最优的能量分配方案和最优的量化位数,我们提出了一种迭代算法。结果表明,所提出的算法不仅获得了比均等的能量分配方案更好的结果,而且还产生了与未量化估计相近的重构误差。本文还研究了传感器噪声观测和传播损耗对最佳能量分配方案设计的影响。最佳能量分配方案建议将更多的能量分配给传感器,且传感器观测值的方差噪声较小。

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