Estimation of Observation Error Probability in Wireless Sensor Networks
Estimation of Observation Error Probability in Wireless Sensor Networks
复制标题
DOI：
10.1109/lcomm.2013.042313.130361
复制
发表时间：
2013-04
期刊：
影响因子：
--
通讯作者：
Xin He;Xiaobo Zhou;K. Anwar;T. Matsumoto
中科院分区：
文献类型：
--
作者：
Xin He;Xiaobo Zhou;K. Anwar;T. Matsumoto
在这封信中，我们首先为并行无线传感器网络（WSN）提出了一种解码技术，该技术很好地利用了从每个传感器传输到融合中心（FC）的传感数据的相关知识。然后，这封信推导出一种算法来估计观测误差概率，表示传感对象和传感器之间的链接的相关性。还评估了算法的收敛性。此外，还对两种情况之间的误码率（BER）性能进行了比较，一种情况使用估计的观测误差概率，另一种情况假设完全了解观测误差概率。仿真结果表明，每链路信噪功率比 (SNR) 的差异仅为 0.3-0.5 dB 左右，具体取决于传感器的数量。
In this letter, we first of all propose for a parallel wireless sensor network (WSN) a decoding technique that well exploits the correlation knowledge of the sensing data to be transmitted from each sensor to the fusion center (FC). This letter then derives an algorithm to estimate the observation error probabilities, representing the correlation, of the links between the sensing object and sensors. The convergence of the algorithm is also evaluated. Furthermore, the comparison of bit-error-rate (BER) performance between two cases, one uses estimated observation error probabilities, the other assumes the full knowledge of the observation error probabilities, is made. The simulation results show that the difference is only around 0.3-0.5 dB in per-link signal-to-noise power ratio (SNR), depending on the number of sensors.