摘要
对传感网络群的移动节点进行协同避障,能够有效提高传感网络群的稳定性。由于传感网络使用人数的增加,使得传感网络群移动节点增多,稳定性受到威胁。传统方法主要通过构建任意网络移动节点近邻移动节点集合,分析威胁传感网络群移动节点稳定性的因素,忽略了传感网络群自身隐藏结构冲突的性能,导致传感网络群稳定性差、协同避障精度偏低。提出基于SDLPP的传感网络群移动节点协同避障方法,利用网络移动节点流量的非线性时间序列特征,构建干扰滤波模型;获得传感网络群移动节点振荡衰减函数;通过KNN法对任意传感网络移动节点进行预处理,组建相似矩阵和同类矩阵,训练存在隐藏结构冲突的移动节点,引入SDLPP算法,构建传感网络群移动节点协同避障模型。实验结果表明,上述方法在传感网络群移动节点协同避障方面,其避障精度较高,避障效果优于传统方法,具有一定的优势。
In traditional methods, the stability of sensor network group is poor and the precision of cooperative obstacle avoidance is low. Therefore, a method of mobile node cooperative obstacle avoidance in sensor network group based on SDLPP was proposed. This method used features of nonlinear time series of network mobile node traffic to build the interference filter model and obtain the oscillation attenuation function of mobile nodes in sensor network group. Then, KNN method was used to pretreat any mobile node in sensor network and set up similar matrix and congeneric matrix. Meanwhile, mobile nodes with hidden structural conflict were trained. Finally, SDLPP algorithm was introduced to build a cooperative obstacle avoidance model of mobile nodes in sensor network group. Simulation results prove that the proposed method has higher accuracy of obstacle avoidance and better effect of obstacle avoidance than traditional methods.
作者
王超
WANG Chao(School of Software, Nanyang Institute of Technology, Nanyang Henan 473004, China)
出处
《计算机仿真》
北大核心
2018年第10期313-316,共4页
Computer Simulation
关键词
传感网络群
移动节点
结构冲突
协同避障
Sensor network group
Mobile node
Structure conflict
Cooperative obstacle avoidance
