ID 原文 译文
45846 最后，仿真证明了所提方案的有效性。 Finally, simulation results verify the validity of the proposed scheme.
45847 针对现有的相似性/相异性测度在量化证据冲突时存在的不足，定义一种新的被称为幂 Pignistic 概率距离的相异性测度， To deal with the shortcomings encountered when using the existing similarity/dissimilarity measures to quantify evidence conflict, a new dissimilarity measure called power-Pignistic probability distance was defined.
45848 并提出基于幂 Pignistic 概率距离的加权证据组合方法。 Furthermore,a weighted evidence combination method was proposed based on power-Pignistic probability distance.
45849 该方法通过幂 Pignistic 概率距离量化两证据之间的冲突程度， The conflict de-gree between two pieces of evidence was quantified by the power-Pignistic probability distance.
45850 然后建立相似性矩阵并求得各证据的可信度， After that, a similarity measure matrix was constructed, based on which the credibility of evidence was obtained.
45851 再用加权平均法修正证据， Then the weighted average method was used to revise the evidence.
45852 最后利用 Dempster规则进行组合。 Finally, the fusion was accomplished by using Dempster’s rule.
45853 数值算例的结果表明，所提方法是合理有效的。 The results of the numerical examples show the efficiency and rationality of the proposed method.
45854 提出了一种静默池机制方法（SPA, silent-pool approach），当传感器节点感知到附近移动攻击者的存在，通过控制节点的转发状态从而阻止和减少攻击者收到有效数据分组。 Sensors’ ability was utilized to perceive the mobile attacker nearby, and SPA (silent-pool approach) was pro-posed, which was able to hinder or reduce the packets hunted by the attacker by controlling the forwarding state of the nodes.
45855 在此基础上，进一步提出了对当前路由路径没有任何影响的安全机制——池外虚假信息注入（DPIOP, dummy packet injection out pool）法，诱使攻击者远离传输路径。 In addition, a novel DPIOP (dummy packet injection out pool) method was proposed to entice the adversary faraway from the transmission path without changing the original routing path.