ID 原文 译文
3363 基于上述结论，可以根据接收端信噪比、信道增益比、相关性等条件合理地设置系统参数，维护系统的安全性能。 Based on the above conclusion, the parameters can be set according to SNR and correlation, so that the secrecy performance can bemaintained.
3364 面向高性能虚拟网络转发架构及设备 VPP，通过重构数据平面的流水线处理模块，设计了基于矢量数据包处理技术的带内网络遥测方案， An in-band network telemetry-based system was built based on VPP, a high-performance virtual network for-warding architecture/device, via reorganizing the data plane pipeline processing modules.
3365 并在此基础上通过引入源路由机制引导遥测报文走向，实现了一种带内全网遥测的扩展案例。 Moreover, a network-widetelemetry mechanism was further developed via embedding source routing into the probe packet header for specifying theroute of probe packets.
3366 最后，基于虚拟机组网方式，搭建网络拓扑并进行网络性能评测。 Finally, a virtual network topology was built with performance evaluation conducted.
3367 实验结果表明，该遥测系统能够在 0.13 ms 精度的遥测时间间隔下覆盖被测网络链路，并能以较小代价实时监测虚拟网络的链路拥塞情况。 The evalua-tion shows that the telemetry system can monitor the network in a high precision of every 0.13 ms, detecting link conges-tion in real time with minor performance overhead.
3368 鉴于虚拟网络设备已在数据中心内被广泛部署，该方案通过高精度的虚拟网络测量覆盖，有望为数据中心内多租户网络和网络功能虚拟化的大规模部署提供可靠性保障。 Given virtual network devices have been widely deployed in datacenters, the proposed scheme is expected to improve the reliability of multi-tenancy and network function virtualizationin data centers via high-precision, network-wide virtual link telemetry coverage.
3369 针对无线传感器网络节点能量有限、负载不均衡的问题，提出了一种基于粒子群优化模糊 C 均值的分簇路由算法 POFCA。POFCA 分别从成簇阶段和数据传输阶段进行了优化。 Aimed at the problems of limited energy and unbalanced load in wireless sensor network, POFCA based on particle swarm optimization fuzzy C-means was proposed. POFCA was respectively optimized from the cluster stage andthe data transmission stage.
3370 成簇阶段，首先使用粒子群优化算法优化模糊 C 均值算法，克服了模糊 C 均值对初始聚类中心的敏感， In the clustering stage, the particle swarm optimization fuzzy C-means was firstly used to overcome the sensitivity to the initial clustering center.
3371 并根据节点剩余能量和相对距离动态更新簇首，平衡簇内负载。 And the cluster head was dynamically updated according to theremaining power and the relative distance of the nodes to balance the network load.
3372 数据传输阶段，基于距离因子、能量因子和节点负载设计了路径评价函数， Then in the data transfer phase, a path evaluation function was designed based on the distance factor, the energy factor and the nodal load.