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Optimal quantization in energy-constrained sensor networks under imperfect transmission

机译:传输不完全的能量受限传感器网络中的最佳量化

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This paper addresses the optimization of quantization at local sensors under strict energy constraint and imperfect transmission to improve the reconstruction performance at the fusion center in the wireless sensor networks (WSNs). We present optimized quantization scheme including the optimal quantization bit rate and the optimal transmission power allocation among quantization bits for BPSK signal and binary orthogonal signal with envelope detection, respectively. The optimization of the quantization is formulated as a convex problem and the optimal solution is derived analytically in both cases. Simulation results demonstrate the effectiveness of our proposed quantization schemes.
机译:本文讨论了在严格的能量约束和不完美传输条件下对本地传感器的量化优化,以提高无线传感器网络(WSN)融合中心的重建性能。我们提出了一种优化的量化方案,包括针对带有包络检测的BPSK信号和二进制正交信号,分别包括最优量化比特率和最优传输功率分配。在这两种情况下,将量化的优化公式化为凸问题,并通过分析得出最优解。仿真结果证明了我们提出的量化方案的有效性。

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