一种面向智慧协同网络的自适配路由策略研究

现有互联网网络体系和机制相对"静态"和"僵化",缺乏支持智慧网络的有效机制.要从根本上解决现有互联网存在的严重弊端,必须创建新的网络理论体系.本文在智慧协同网络"三层"、"两域"体系结构下,针对"网络组件层"的路由自适配问题展开研究,提出基于生物启发的转发网络族群自适配路由策略,实现族群内路由组件之间的智慧协调、动态重构和优化决策,有效解决现有路由策略的静态、僵化等问题.通过数学分析证明:如果设定模型参数μ∈(0,1),提出的自适配路由策略可以始终保持稳定性.最后,通过原型系统验证了提出自适配路由策略是切实可行的,能够提高网络的承载业务数量和提升用户体验.     

物联网分布式路由中基于Beta函数的抗攻击信任管理模型

With the rapid development of Internet of Things (IoT), the issue of trust in distributed routing systems has attracted more research attention. The existing trust management frameworks, however, suffer from some possible attacks in hostile environments, such as false accusation, collusion, on-off, and conflicting behavior. Therefore, more comprehensive models should be proposed to predict the trust level of nodes on potential routes more precisely, and to defeat several kinds of possible attacks. This paper makes an attempt to design an attack-resistant trust management model based on beta function for distributed routing strategy in IoT. Our model can evaluate and propagate reputation in distributed routing systems. We first describe possible attacks on existing systems. Our model is then proposed to establish reliable trust relations between self-organized nodes and defeat possible attacks in distributed routing systems. We also propose a theoretical basis and skeleton of our model. Finally, some performance evaluations and security analyses are provided to show the effectiveness and robustness of our model compared with the existing systems.     

基于移动性评估的绿色无线传感器网络路由协议

As a core technology of Internet of Things (IoT), Wireless Sensor Network (WSN) has become a research hotspot recently. More and more WSNs are being deployed in highly mobile environments. The fast moving sensor nodes bring significant challenges for the routing decision. In this paper, we propose an efficient logical location method, and designe a mobility estimating metric and derive a novel Green Mobility Estimation-based Routing protocol (G-MER) for WSNs. We also set up a full framework to evaluate its performance. Simulation results illustrate that G-MER achieves a fairly better performance in terms of broadcast times and link failures than AODV. What's more, it decreases the mean hops by about 0.25 and reduces energy consumption by about 10% during the whole experiment. All the results show that G-MER can be effectively used in fast-moving and limited resource scenarios.     

基于APT潜伏攻击的网络可生存性模型与分析

基于传统网络攻击模式和高级持续性威胁（Advanced Persistent Threat,简称APT）攻击模式提出网络可生存性的评估模型。建立网络攻击场景,仿真验证提出的网络可生存性模型,并比较两种模式的性能。得到的结论：提出的评估模型合理刻画了网络可生存性的两个重要参数,网络攻击传播速率和网络修复速率;基于APT潜伏攻击模式下的网络可生存性性能低于传统攻击模式。     

移动自组织网络下基于跨层感知和邻居协作的视频分享方案

Fast resources discovery and high Quality of Service (QoS) guarantee are the key det-erminants for efficient Mobile P2P (MP2P) video sharing. In this paper, we propose a Cross- Layer and One-Hop Neighbour-Assisted Video Sharing (CNVS) solution in Mobile Ad Hoc Networks (MANETs). By making use of cross- layer approaches to bridge the overlay and the MAC layer and with the help of dissemination assisted by one-hop neighbours, CNVS intel-ligently builds the resource-centric self-organ-ization node cluster group. In order to meet the QoS requirement, by making use of video resources access cost model, each peer can disconnect a less efficient connection with the original supplier and choose a peer that pro-vides a low access cost as the new supplier. Simulation results also show how CNVS achi-eves lower average end-to-end delay, less ave-rage number of hops for video data delivery, lower routing overhead and packet loss rate, and higher network throughput than another state-of-the-art solution.