LEO卫星网络的重构与自恢复

针对使用星际链路ISL(intersatellitelinks)的LEO(lowearthorbiting)卫星系统,提出一种基于动态路由策略的网络重构与自恢复算法,通过该算法管理卫星能够尽可能快地检测出故障链路,并通过快速的、自主的测试可精确定位故障链路·重构网络拓扑,当故障链路恢复后,再在拓扑图中恢复该链路·通过在卫星网络上的仿真表明,具有实时性、精确性且可能不占用或只占用很少的额外带宽·     

复杂网络模型和方法

我们回顾了快速发展的生长网络在模型和方法上取得的进展.关注网络拓扑变化带来的网络特征性质的涌现,包括小世界特性、高聚集性以及稳定的度分布,尤其是度分布的无标度行为.概括了已获得的解决生长网络问题的理论方法.     

具有时滞的细胞神经网络的全局渐近稳定性分析

研究了一类具有时滞的细胞神经网络的稳定性问题,首先证明了这类系统的平衡点的存在性,然后利用Lyapunov泛函方法结合不等式分析技巧,在引入一系列参数的条件下,给出了系统平衡点唯一和平凡解全局渐近稳定的充分条件,该条件与时滞无关且推广和改进了已有文献的结果.     

模糊稳健优化设计中的神经网络技术

由于模糊稳健设计中的准则函数和约束函数是随机性可控因素与不可控因素的函数,其概率密度函数的表达式难以确定,故在优化设计中采用随机模拟方法.但采用遗传算法进行优化计算时,随机模拟消耗的机时很大,优化计算效率极低.为此,采用BP神经网络对模糊随机函数进行逼近,探讨了神经网络的构造与程序实现方法;用插装式溢流阀调压弹簧的模糊稳健优化设计问题进行了数值仿真与验证.实例表明,BP神经网络的仿真精度可以达到工程优化问题的要求,把遗传算法与神经网络技术相结合,可以有效地求解模糊稳健设计等复杂优化设计问题.     

无线环境中解决移动IPv6位置摆动注册的有效方案

在移动IPv6中,摆动注册是降低路由稳定性和分组传输效率、增加位置管理开销以及策略路由配置复杂度的重要因素.本文通过改变路由器通告消息发布方式、设置记忆标记,并配合一套切换算法,设计了一种用于解决无线环境中IPv6移动节点位置摆动注册的方案.实验结果表明,本方案由于稳定了路由路径、减少了分组丢失而经单纯使用链路可用性指示作为切换条件的移动管理方法具有更好的通信性能.     

Optimized transmission coordination mechanisms for opportunistic routing

The successful rate of transmission coordination of opportunistic routing (OR) is analyzed systematically,and then two efficient transmission coordination mechanisms (TCMs) are proposed for OR:a batch sliding window-based TCM and a bit map-based TCM,to reduce the total number of packet transmissions and improve end-to-end throughput for OR.The batch sliding window-based TCM avoids the oscillation of the successful rate of transmission coordination by transmitting packets in continuous batch mode so as to improve the average successful rate of transmission coordination efficiently,while the bit map-based TCM improves end-to-end throughput of OR by reducing the overhead of transmission coordination.Exhaustive simulations show that the average end-to-end throughput gains of the two proposed TCMs are 15.4％ and 6.4％ over the batch map-based TCM,respectively.     

Experimental Analysis of Link Estimation Methods in Low Power Wireless Networks

Wireless sensor networks are envisioned to be an integral part of cyber-physical systems,yet wireless networks are inherently dynamic and come with various uncertainties.One such uncertainty is wireless communication itself which assumes complex spatial and temporal dynamics.For dependable and predictable performance,therefore,link estimation has become a basic element of wireless network routing.Several approaches using broadcast beacons and/or unicast MAC feedback have been proposed in the past years,but ...     

Influence of Node Dynamics on Cluster Global Time Continuity

The cluster global time can change in wireless sensor networks due to leader re-elections and node disabilities between two successive synchronizations,which will affect temporal relationships.This paper analyzes cluster global time continuity,using global time change models for the node dynamics.The results prove that defining the global time using the cluster average time(AGT) is more stable than defining it using a single node’s local time(SGT).With normally distributed clock-parameter assumptions,the AGT change bounds are at most 70.7% of those for the SGT’s.The impacts of the initial phase and frequency skew distributions on the global time continuity are also investigated to show that the initial phase variations may strongly influence the continuity.Simulations show that the AGT is more stable with less disabled nodes or larger clusters.The appropriate cluster size is 20-40 when there are less than 15 disabled nodes.     

Coverability of Wireless Sensor Networks

The coverability of Wireless Sensor Networks (WSNs) is essentially a Quality of Service (QoS) problem that measures how well the monitored area is covered by one or more sensor nodes.The coverability of WSNs was examined by combining existing computational geometry techniques such as the Voronoi diagram and Delaunay triangulation with graph theoretical algorithmic techniques.Three new evaluation algorithms,known as CRM (Comprehensive Risk Minimization),TWS (Threshold Weight Shortest path),and CSM (Comprehen...