一种基于残差分析过滤的安全定位算法

在无线传感网络节点定位中,恶意锚节点的出现会降低网络定位性能,为了解决这个问题,根据节点定位过程中的恶意锚节点攻击特性和定位计算中的残差问题,提出一种基于残差分析和过滤的无线传感网络安全定位算法.建立了基于距离的安全定位模型,对网络定位中的残差问题进行了分析,并且通过残差特性过滤掉网络中恶意锚节点,利用剩余锚节点信息和梯度下降法对未知节点实现高精度定位.仿真表明,此算法在多个性能指标下都能取得相对较高的定位精度,并且在高强度的恶意攻击下也能保持较高的定位性能.此算法不但能有效地抵御恶意攻击对节点定位的破坏,还显著地加强了网络的定位安全性.

A secure localization algorithm based on residual analysis filtration

During the process of localization in the wireless sensor network, the appearance of malicious anchor nodes will destroy the performance of network positioning. In order to solve this problem, a new wireless sensor network security algorithm is proposed,which based on the characteristics of malicious anchor nodes and the residual problem in location calculation. Firstly, a distance-based security location model is established. Then the residual problem in the network location is analyzed, and the malicious anchor nodes in the network are filtered out by the characteristic of residual. Finally, the unknown nodes are realized high-precision positioning result by the information of residual anchor node and gradient descent method. The simulation results show that the proposed algorithm can achieve relatively high positioning accuracy under a variety of performance indexes, and can maintain high positioning performance even under intensified malicious attacks. So this algorithm can not only effectively resist the malicious attack on the node location, but also significantly enhance the security of network localization.