WSN基于声音能量量化数据的目标定位研究

Research of target location with quantized data of acoustic energy in WSN

无线传感器网络的通信带宽和能量是有限的,只传输二进制或几个比特量化数据来完成目标定位任务可以减少网络开销。对无线传感器网络目标定位方法进行了研究,采用声音能量衰减模型,推导了基于量化信号的似然函数,给出了基于声音能量量化数据的最大似然定位方法。为了对估计结果进行评定,推导了最大似然估计的克拉美罗下限。仿真结果表明,该方法对目标定位的准确度基本接近于克拉美罗下限。因此,在满足定位精度的前提下,可通过减少传递的比特位数来节约网络的能量。

The bandwidth and energy of wireless sensor network is limited.If only one binary or multi-bit quantized data is transmitted to realize target location,the resource cost of network can be reduced in wireless sensor network.This paper researched the method of target location in wireless sensor network.It derived the likelihood function using energy attenuation model and gave the method of maximum likelihood based on acoustic energy.And it also derived the Cramer-Rao lower bound of maximum likelihood estimator to evaluate the estimation result.The simulation results show that the performance of this method approaches to the Cramer-Rao lower bound.The energy of network can be saved by reducing the amount of bit transmitted as long as location accuracy can be satisfied.