网络中移动节点快速精确定位优化仿真

摘要

对网络中移动节点进行快速精确定位,可对网络中的移动节点进行调配,提高网络的使用性能.进行网络中移动节点定位时,应根据网络未知节点和锚节点之间的距离,对网络未知节点位置进行估计,传统方法利用牛顿差值理论预测移动节点运动轨迹进行预测完成节点定位,但不能计算网络未知节点和锚节点之间的距离,不能对未知节点进行准确估计,降低了接地点定位的准确性.提出采用粒子群优化的网络中移动节点快速精确定位优化方法.先计算网络未知节点和锚节点之间的距离,得到网络未知节点的估计位置,利用罚函数将网络未知节点定位问题转化为无约束问题进行求解,求解过程中利用锚节点与定位节点之间的估计距离信息来滤除粒子,通过限制性的线性交叉操作扩展粒子数目,计算网络移动节点位置误差,获得当前的全局最优位置,并完成对网络移动节点的定义.仿真结果表明,所提方法可以精确地完成对网络移动节点进行定位.%An optimization method for fast and precise location of mobile node in network is proposed by using particle swarm optimization.Firstly,the distance between the unknown node and the anchor node is calculated,and the estimation location of the unknown node is obtained.Then the unknown node location problem is converted into the unrestraint problem to solve by using penalty function.The information of distance between the unknown node and the anchor node is used to filter particles.The number of particles is extended by using the restrictive linear interlace operation.Finally,the location error of network mobile node is calculated to obtain the current global optimum location,and the definition of network mobile node is completed.The simulation results show that the method mentioned above can complete the location of network mobile node accurately.