Reconstruction of Chaotic Signals in Wireless Sensor Networks Based on Threshold-Decision
Jiuchao Feng · Journal of Southwest University · 2010
The problem of reconstructing chaotic signals in wireless sensor networks is considered.All sensors observe a common chaotic signal.Because of the limited bandwidth,the observations are quantized and the quantized data are sent to a fusion center.The fusion center reconstructs the chaotic signals by using the unscented Kalman filtering(UKF) algorithm.To save energy,only the sensors for which the SNR of the observation is higher than a threshold are chosen for transmission.A cost function is defined to relate the reconstruction performance and the energy consumption.The relationship between the cost function and the threshold is analyzed and simulated.The results show that under certain conditions,it is more reasonable that only a portion of the sensors transmit data.