一种传感器定位精度恶化情况下的恢复算法

Localization accuracy restoring algorithm under accuracy deterioration for WSN

在某些场合下无线传感器网络存在恶意节点攻击,在这种情况下,节点定位精度需要提高。针对极大似然估计定位技术极易遭恶意攻击的情况,提出了一种基于极大似然估计定位技术的恢复定位精度定位算法。仿真结果表明,当存在恶意攻击时,在电磁波最大定位误差为0.22个通信半径条件下,原有的定位技术不可用时;该算法可以有效恢复原有的极大似然估计定位技术。主要工作为:1)测距定位中各种恶意攻击遍历归纳;2)质心定位法的抗攻击算法(AAC);3)求解定位方程中对方程做差时尽量让误差项较小的作为被减方程。研究中最关键是实验设计,参数估计。

There are some malicious attack nodes in wireless sensor networks,where location accuracy should be improved in some occasions.One maximum-likelihood-estimation-based attack-resistant localization algorithm is proposed.Simulations show that most existing maximum likelihood estimation algorithms are not applicable in hostile environment,while the proposed attack-resistant localization algorithm can restore the localization accuracy of original maximum likelihood estimation algorithm under the condition that the maximum localization range error is within 0.22 communication radius.The major tasks in this study include： first,giving all of the attack methods of malicious attack nodes in range-based localization;second,giving an attack-resistant centroid algorithm（AAC）;and third,giving a suggestion that when solving localization equation,the equation with least error term should be used as the minuend equation.The most important points are experiment design and parameter estimation.