异构不规则无线传感器网络的定位算法

Location Algorithm of Heterogeneous and Irregular WSNs

异构WSN节点在感知对象时由于遮蔽效应引起感测半径不规则,为了解决传播路径上的因障碍物遮挡引起的损耗,先求出传感器节点的感知半径,再利用Fuzzy集中最大最小法求出贴近度;然后选出一定数量满足实际需要的最大的前k个节点构成区域,求出该区域的质心坐标,即为定位坐标,为了降低算法复杂度,提出了近似算法,同时对该算法的定位误差进行了分析;最后与SBL算法进行了比较,实验表明,该算法在不同半径时平均定位率均高于SBL算法,并且定位精度随着样本点个数的增加而增大。

Heterogeneous WSN node in the perception of objects due to shadowing effects caused irregular sensing radius,in order to solve the propagation path loss caused by obstacles,first calculate the sensing radius of sensor nodes,and then focus on the maximum and minimum method to calculate similarity degree using Fuzzy,then choose a certain number to meet the actual needs,calculate centroid coordinates in the region,which is coordinate,in order to reduce the complexity of the algorithm,approximation algorithm is proposed,and the positioning error of the algorithm is analyzed,and compared with SBL algorithm,experiments show that,the algorithm in different radius average localization rate was higher than that of SBL algorithm,and the positioning accuracy increases with increasing the number of sample points.