ID 原文 译文
58118 为提高免测距无线传感器网络节点定位算法的性能，针对免测距定位算法利用最小跳路径距离替代节点间欧氏距离和信标节点近似共线引入较大定位误差的缺陷，提出基于相交度比的无线传感器网络迭代定位算法. In order to improve the performance of range-free localization algorithm such as DV-Hop andAmorphous for wireless sensor network，the problem of using the minimum hop path distance to replacethe Euclidean distance between nodes and choosing the approximate collinearity beacons to calculate location of unknown node that introduces large positioning error is studied.
58119 首先利用定位单元拓扑分布质量函数选择 1-跳邻居参考节点，组成高质量的定位单元; An iteration localization algorithmin wireless sensor network based on intersection degree ratio ( ILA-IDＲ) is proposed.
58120 其次采用基于相交度比的距离计算估计距离精度; The ILA-IDＲ algorithm first uses the localization group topology distribution quality function to select three 1-hop neighborreference nodes form a non-collinear positioning unit，and then the distance calculation based on the intersection degree ratio is used to improve the estimation distance accuracy.
58121 最后采用双曲线定位方法减少误差. Finally，the hyperbolic calculation method is adopted to reduce the error to improve the node location accuracy.
58122 仿真结果表明，在节点均匀随机部署，非均匀 C-型分布的网络场景中，与 DV-Hop、Amorphous 等已有改进算法相比，新算法具有更小的定位误差，可提供更加精确的传感器节点位置. Simulation shows thatthe ILA-IDＲ algorithm is superior to those of the DV-Hop，Amorphous and the advanced algorithm forthat the localization error of the ILA-IDＲ algorithm is lower than those algorithms both in the node uniformand C-Shape distribution scenario.
58123 针对现有信任感知路由协议中信任模型较为简单且能耗优化不足的问题，提出了一种基于信任与能耗均衡的安全分簇路由协议( SCＲ-TBE) . Aiming at the problems that the trust model is simple and the energy consumption is not optimized enough in the existing trust-aware routing protocols. A secure clustering routing protocol based ontrust and balancing energy consumption ( SCＲ-TBE) is proposed.
58124 采用模糊综合评判模型并引入多种评判因素计算直接信任，根据偏离度对推荐信任进行过滤与权重分配，并在计算综合信任时考虑历史信任. Introducing multiple evaluation factors，direct trust is calculated by fuzzy comprehensive evaluation model，and the recommendation trust is filtered and weighted allocation based on the deviation degree，and comprehensive trust is calculated addedhistorical trust value.
58125 同时设计簇头惩罚系数，加快恶意簇头的识别与隔离的速度. And the cluster head penalty coefficient is designed to speed up the identificationand isolation of malicious cluster heads.
58126 通过划分监控区域进行非均匀分簇，缓解能量空洞现象. By dividing the monitoring area，the unequal clustering is achieved to alleviate the energy hole phenomenon.
58127 将节点信任值、剩余能量以及数据传输距离作为路由选择因素. The node trust value，dump energy and data transmission distance are chosen as routing factors.