基于权重动态离散模型的WSNs定位算法

针对测距误差和距离权重对定位误差的影响，提出一种离散距离权重动态修正的定位算法。算法首先分区域获取动态路径损耗指数，建立接收信号强度测距简化数学模型，抑制接收信号强度测距误差。然后将静态距离权重因子离散化，为离散距离权重匹配动态权重系数，并在划定的动态取值范围内寻找最优权重系数，权重系数与接收信号强度正相关。基于MATLAB平台仿真结果表明，与其他算法相比，该算法能够较好地抑制接收信号强度测距的误差影响，显著降低平均定位误差，提高定位精度。

Localization algorithm for wireless sensor networks(WSNs) based on dynamic discrete weight model

Aiming at the effects of range error and distance weighted on positioning error,a locating algorithm based on dynamic correction of discreet distance weighted is proposed. Firstly,the algorithm accesses the dynamical path loss exponent based on regional division,establishes the simplified mathematical model of RSSI range,and suppres-ses the RSSI measurement error. Then the static distance weighted factors are discretized and the dynamic weighted coefficient of discreet distance weighted is matched,meanwhile the optimal weighted coefficient within the dynamic scope is searched,weighted coefficient and RSSI has positive correlation. Simulation results based on MATLAB plat-form shows that this algorithm can decrease the influence of RSSI measurement error compared with other algo-rithms. The algorithm significantly reduces the average position error,and enhances the positioning accuracy.