ID 原文 译文
45996 近年来，随着传感器和无线网络技术的发展，基于无线传感器的新型网络化应用也应运而生。 With the development of sensors and wireless network technology, a series of new applications based on the wireless sensor has been merged in the past decades.
45997 然而，无线传感器耗能过多成为制约其发展的瓶颈。 Too much energy consumption and over-abundant occupancy rates of bandwidth are great challenges in these new applications.
45998 因此，研究其节点数据传输节能问题有着巨大的实际意义， Thus, it is of great practical significance to study the energy saving of the data transmission among these nodes.
45999 针对一种含未知输入的离散随机系统，结合事件驱动机制设计估计器以实现远程状态估计。 An estimator with the corresponding event-triggered transmission scheme was investigated for a class of discrete-time stochastic systems subject to unknown input.
46000 相应的远程估计器满足了无偏和最小方差特性，随后，基于所提出的事件驱动策略判定何时发送数据，从而减少数据传输。 Its features satisfied the characteristic of unbiased and minimum variance was designed and then the proposed event-triggered strategy, which decided the transfer time of the data packet, can be used to reduce the number of data transmission.
46001 此外，通过推导一类系统性能指标的上界详细推导了时间驱动策略的形式和参数， Furthermore, an upper bound of system performance was derived for obtaining the parameters of event scheme in details.
46002 最后，通过数据仿真实验来验证所提方法的可行性和有效性。 Finally, a numerical example was given to verify the potential and effectiveness of the proposed theoretical result.
46003 ：为分析给定卫星星座通信系统的容量，依据不同地区时差导致的通信流量差异，建立关于时间的通信流量模型。 Aiming to calculate the system capacity of a given satellite constellation, a time-varying traffic model based on varying traffic with varying time zone was proposed.
46004 以覆盖全球的中轨卫星星座通信系统为例，采用负载均衡路由算法，针对单星到多星的业务类型，分析卫星一个回归周期内不同时间切片下的星座系统容量，并探究星间链路容量约束对系统容量的影响。通过建立卫星流量的时间模型，容量分析的结果更加符合实际； Focusing on a MEO satellite constellation with global coverage,using a load balanced routing algorithm, the system capacity in different time slices was analyzed and the effect of inter-satellite link (ISL) capacity on the system capacity was investigated.
46005 与卫星等流量模型仿真对比，印证基于时间的流量模型的合理性和有效性； The time-varying traffic model makes analysis more reliable and effective via comparison with equal traffic model.