二次栅格扫描与锚节点递减栅格扫描的定位算法

为了提高无线传感器网络的定位精度，在Grid-Scan算法的基础上作进一步的改进。首先利用二次栅格扫描确定初始定位点，并产生缩小的定位区域；在该缩小区域内，将邻居锚节点与初始定位点间的距离转换为理论信号强度值，再对比邻居锚节点实际接收未知节点的信号强度，对邻居锚节点进行有条件递减，得到递减锚节点栅格扫描法则，最终确定未知节点的估计位置。通过仿真实验的对比，改良后的定位算法在一定程度上提高了定位精度。

Two grid scan and anchor node descending raster scan location algorithm

In order to improve the positioning accuracy of wireless sensor networks, so make further improvements on the basis of Grid-Scan algorithm. Firstly, the second raster scan determined the initial location point and generated the reduced location area. In the reduced area, by converting the distance between the neighboring anchor node and the initial location point to the theoretical signal strength value and comparing the signal strength of the neighboring anchor with that of the unknown node, and the neighboring anchor node was conditional. Reducing the grid scan rule of the descending anchor node and determining the position estimation of the unknown node. The simulation results show that the localization algorithm improves the positioning accuracy to a certain extent.