针对监测区域中移动目标的跟踪问题,提出基于Mobicast的动态分簇组播路由方案,簇头节点负责对节点入簇的审查和管理,并根据网络拓扑环境和节点自身状况的改变而动态调整分簇策略,最大限度地提高组播效率和网络性能。通过调整节点入簇门限条件,使得只有性能最优的节点才能参于Mobicast会话;引入自感知技术,动态评估当前组播服务质量(quality of service,QoS)需求;利用矩阵编码和线性规划技术实时选择最佳分簇策略。分析和仿真结果表明,与现有Mobicast路由协议相比,本方案具有较低的平均时延和能耗,以及良好的QoS性能。
Despite the large size of most communication and transportation systems, there are short paths between nodes in these networks which guarantee the efficient information, data and passenger delivery; furthermore these networks have a surprising tolerance under random errors thanks to their inherent scale-free topology. However, their scale-free topology also makes them fragile under intentional attacks, leaving us a challenge on how to improve the network robustness against intentional attacks without losing their strong tolerance under random errors and high message and passenger delivering capacity. Here We propose two methods （SL method and SH method） to enhance scale-free network＇s tolerance under attack in different conditions.
The peer-to-peer（P2P） file-sharing network as a vehicle of disseminating files has become very popular. The appearance of dozens of kinds of passive worms on this network has, however, made it unsecured. This problem has been paid attention and a few of models for passive worm propagation has been presented. Unfortunately, the dynamic properties of this network are ignored in these models. Given the fact, the characteristics of both this network and the passive worm are identified, and on this basis a new mathematical model of passive worm propagation on the P2P network is presented in applying epidemiology in this paper. Note that the dynamic properties of this network are considered in the presented model. The model has been validated by large scale simulation experiments, which demonstrates that the presented model may be used for analyzing the behaviors of passive worms and predicting the trend of their propagation.
