多媒体异构Mesh网络体系设计及跨层QoS路由算法研究

 针对无线Mesh网络的异构特性和多媒体业务的QoS要求,研究了一种跨域、跨层、跨节点的无线Mesh网络QoS自适应体系架构.在此基础上,利用双层规划数学模型描述之,并利用改进的蚁群算法来求解该双层规划模型,从而提出了基于双层规划模型的蚁群优化路由算法.仿真结果表明双层规划数学模型充分地考虑并优化了路径的各QoS指标,提出的蚁群优化路由算法能够很好地收敛于双层规划模型的最优解,且具有复杂度低、收敛速度快的特点.     

基于遗传算法优化的QoS组播路由算法

QoS组播路由技术作为网络多媒体信息传输的一种核心技术,下一代网络中的QoS组播路由的优化算法已经成为目前研究的一个热点。针对QoS组播的网络模型,提出一种适用于下一代网络的组播路由算法能够更好的满足下一代网络的QoS组播需求显得尤为重要。本文讨论了遗传算法优化的QoS组播路由算法,最后探讨了下一代网络QoS组播路由算法的研究方向。     

组播路由选择的流体神经网络电路模型

提出了一种计算通信网络组播路由选择的流体神经网络模型,该模型充分利用网络的全局拓扑信息,将组播路由选择问题影射为一个电路求解问题,可在电路时间常数内给出组播的最佳路由。理论和仿真计算结果证明了该模型的可行性。     

一种新的QoS组播路由算法

针对现有的求解多约束QoS组播路由中存在的问题,结合BP神经网络局部搜索的优势和蚁群算法全局搜索的优势的特点,进行QoS组播路由算法的设计,提出了一种新型的NNAC算法。该算法通过BP神经网络寻找路径的更优解,改善了QoS组播路由路径寻找的方法。通过实验仿真表明,NNAC算法得到最优组播树的总延时为35,总代价费用为21,在完成150个度约束组播路由路径时,NNAC算法在进行最优组播树的寻找成功率上高于AC算法,同时该算法还克服了AC算法易陷入局部最小点的不足。     

基于蚁群算法的Ad Hoc网络QoS组播路由研究

在解决Ad Hoc网络QoS组播路由问题上,针对蚁群算法缺点,提出了一种融合粒子群优化思想的改进蚁群算法.该算法融合PSO思想以加速蚁群算法在路由发现及维护时的收敛速度.仿真结果表明,该算法具有较好的性能,是解决Ad Hoc网络QoS组播路由问题的有效方法.     

基于QoS的动态组播路由算法

在分析了网络中基于QoS的组播路由问题的基础上,本文提出了一种新的动态算法,并进行了实验和分析,文中构造的路由方案成功地解决了当网络中存在多个组播及组播节点动态变化情况下的QoS路由选择问题,此方案不仅保证了带宽,端到端延时和延时抖动,优化了路由树的代价,而且有效地控制了算法的复杂性并可适用于大规模的网络中。     

基于遗传算法的QoS组播路由算法的改进

QoS组播路由技术在网络技术发展中占有很重要的地位,是一种关键的技术。在分析网络模型的基础上,建立了组播问题的数学模型。遗传算法是一种经典的寻优算法,应用广泛,提出了改进的算法。并且结合改进Dijkstra算法,使算法能很好地体现实际组播路由问题的特点。试验表明,这种新的算法可靠性更高,适应了当今网络性能优化的需要。     

下一代网络中基于遗传算法的QoS组播路由算法

向用户提供多媒体业务是下一代网络业务最基本、最重要的要求,QoS组播路由技术是网络多媒体信息传输的核心技术之一。该文给出了支持QoS组播的网络模型,对已有的QoS组播路由算法进行了优化,提出了适用于下一代网络的基于遗传算法的QoS组播路由算法。仿真实验表明,这种算法收敛速度快,可靠性高,能够很好地满足下一代网络QoS组播的需求。     

基于IPv6的QoS控制组播路由机制

设计并实现了一种基于IPv6的QoS(quality of service)控制组播路由机制.基于启发式单播路由协议,修改了PIM-SSM协议与MLD协议,实现了IPv6下启发式源特定组播.为提供QoS控制,扩展了RSVP协议,设计了分层组播流量控制机制,基于博弈分析确定为用户预留的带宽量,优化网络提供方与用户方效用.开发了该机制的原型系统并进行了大量试验,结果表明该机制具有良好的性能,能够提供IPv6下的QoS控制组播路由.     

基于非精确状态信息的QoS组播路由算法

提出了一种在非精确网络状态信息下满足时延和带宽约束的最小代价组播路由算法。基于非精确网络下门限更新策略，提出一种将安全性和组播树代价相结合的路径选择函数。模拟多组播业务的仿真结果表明．该算法所得组播树的代价最优，而且请求接受率较高，反映了该算法同时具有较好的QoS能力和负载均衡能力。     

一种分布式多源应用层多播方法

为满足以分布交互仿真为代表的大规模多数据源多播应用的通信需求,重点研究了大规模多源应用层多播问题,提出了大规模多源应用层多播问题模型。参考基于P2P覆盖网络的应用层多播方法Scribe和Bayeux,设计了一种适用于大规模多数据源多播应用的分布式多源应用层多播方法DMALMM。DMALMM采用随机邻居结点选择机制,使用反向寻径方法构建数据分发树。仿真试验表明,DMALMM方法的结果优于采用Scribe方法的结果,是一种有效的分布式多源应用层多播方法。     

Stateless overlay multicast with in-packet bloom filters

Due to the difficulty of deploying Internet protocol (IP) multicast on the Internet on a large scale, overlay multicast has been considered as a promising alternative to develop the multicast communication in recent years. However, the existing overlay multicast solutions suffer from high costs to maintain the state information of nodes in the multicast forwarding tree. A stateless overlay multicast scheme is proposed, in which the multicast routing information is encoded by a bloom filter (BF) and encapsulated into the packet header without any need for maintaining the multicast forwarding tree. Our scheme leverages the node heterogeneity and proximity information in the physical topology and hierarchically constructs the transit-stub overlay topology by assigning geometric coordinates to all overlay nodes. More importantly, the scheme uses BF technology to identify the nodes and links of the multicast forwarding tree, which improves the forwarding efficiency and decreases the false-positive forwarding loop. The analytical and simulation results show that the proposal can achieve high forwarding efficiency and good scalability.     

A novel overlay multicast protocol in mobile ad hoc networks: design and evaluation

Despite significant research in mobile ad hoc networks, multicast still remains a research challenge. Recently, overlay multicast protocols for MANET have been proposed to enhance the packet delivery ratio by reducing the number of reconfigurations caused by nongroup members' unexpected migration in tree or mesh structure. However, since data is delivered by using replication at each group member, delivery failure on one group member seriously affects all descendent members' packet delivery ratio. In addition, delivery failure can occur by collision between numbers of unicast packets where group members densely locate. In this paper, we propose a new overlay multicast protocol to enhance packet delivery ratio in two ways. One is to construct a new type of overlay data delivery tree, and the other is to apply a heterogeneous data forwarding scheme depending on the density of group members. While the former aims to minimize influence of delivery failure on one group member, the latter intends to reduce excessive packet collision where group members are densely placed. Our simulation results show distinct scalability improvement of our approach without regard to the number of group members or source nodes.     

BowCast：一种适应非对称链路延时网络的P2P多播路由协议

虽然IP多播的性能优势无可否认,但是它却面临着部署上的困难。近年来,P2P多播作为提供多播服务的另一可行途径正不断为人们所认可。研究非对称链路延时网络环境下P2P多播的路由问题,提出一个新的P2P多播路由协议：BowCast.该协议采用基于树（tree-based）的分布式路由策略,使多播组成员之间能自组织地构建一棵基于源的最小延时P2P多播树。BowCast主要利用范围受限的单向探测技术（BOW）来实现路由优化算法。BOW能提供端系统节点间的单向相对延时,无需全局的同步时钟。仿真实验表明,BowCast能很好地适应非对称链路延时环境。通过调节BOW的探测范围,BowCast能灵活地在路由性能和控制开销之间进行折中。     

A two-layer recurrent Neural Network based approach for overlay multicast

Overlay multicast has become one of the most promising multicast solutions for IP network, and Neutral Network（NN） has been a good candidate for searching optimal solutions to the constrained shortest routing path in virtue of its powerful capacity for parallel computation. Though traditional Hopfield NN can tackle the optimization problem, it is incapable of dealing with large scale networks due to the large number of neurons. In this paper, a neural network for overlay multicast tree computation is presented to reliably implement routing algorithm in real time. The neural network is constructed as a two-layer recurrent architecture, which is comprised of Independent Variable Neurons （IDVN） and Dependent Variable Neurons （DVN）, according to the independence of the decision variables associated with the edges in directed graph. Compared with the heuristic routing algorithms, it is characterized as shorter computational time, fewer neurons, and better precision.     

Challenges and advances in using IP multicast for overlay data delivery - [consumer communications and networking]

IP multicast and overlay multicast have been proposed for one-to-many data delivery over the Internet. Compared to overlay multicast, IP multicast is less deployed but can achieve higher delivery efficiency. Researchers hence study how to combine IP multicast with overlay multicast in order to achieve both high deployability and high delivery efficiency. This combination is called island multicast. In this article we present a comprehensive survey of recent research on island multicast. We investigate the general architecture and key components of island multicast. We then discuss the core issue in island multicast: how to set up delivery connections across multiple multicast domains. We finally discuss open issues for future research.     

基于ASON光组播的建模和算法研究

文章在对互联网工程任务组(简称IETF)相关草案研究的基础上,提出了基于自动交换光网络(ASON)的光组播模型,对组播算法和结构模型进行了分析,提出了光组播路由算法的基本思路、性能分析和比较,并建立了基于集中方式的组播模型,该模型可满足ASON对多播业务应用的需求.     

Multicast routing and bandwidth dimensioning in overlay networks

Multicast services can be provided either as a basic network service or as an application-layer service. Higher level multicast implementations often provide more sophisticated features and can provide multicast services at places where no network layer support is available. Overlay multicast networks offer an intermediate option, potentially combining the flexibility and advanced features of application layer multicast with the greater efficiency of network layer multicast. In this paper, we introduce the multicast routing problem specific to the overlay network environment and the related capacity assignment problem for overlay network planning. Our main contributions are the design of several routing algorithms that optimize the end-to-end delay and the interface bandwidth usage at the multicast service nodes within the overlay network. The interface bandwidth is typically a key resource for an overlay network provider, and needs to be carefully managed in order to maximize the number of users that can be served. Through simulations, we evaluate the performance of these algorithms under various traffic conditions and on various network topologies. The results show that our approach is cost-effective and robust under traffic variations.     

OMAC: A new access control architecture for overlay multicast communications

Multicast communications concern the transfer of data among multiple users. Multicast communications can be provided at the network layer—an example is IP multicast—or at the application layer, also called overlay multicast. An important issue in multicast communications is to control how different users—senders, receivers, and delivery nodes—access the transmitted data as well as the network resources. Many researchers have proposed solutions addressing access control in IP multicast. However, little attention has been paid to overlay multicast. In this paper, we investigate the access control issues in overlay multicast and present OMAC: a new solution to address these issues. OMAC provides access control for senders, receivers, and delivery nodes in overlay multicast. The proposed architecture, which is based on symmetric key cryptosystem, centralizes the authentication process in one server whereas it distributes the authorization process among the delivery nodes. Moreover, delivery nodes are utilized as a buffer zone between end systems and the authentication server, making it less exposed to malicious end systems. To evaluate our work, we have used simulation to compare the performance of OMAC against previous solutions. Results of the simulation show that OMAC outperforms previous multicast access control schemes. Copyright © 2010 John Wiley & Sons, Ltd.     

Scaling Group Communication Services with Self-adaptive and Utility-driven Message Routing

Group communication services typically generate large multicast data streams. Delivering such massive data streams to the end system nodes at the edge of the Internet has been a challenging problem in terms of high stress on the network links and high demand on network resources and routing node capacities. Most of existing research has been dedicated on geo-distance based routing with various optimizations to alleviate the performance impact on geo-distance based routing due to unpredictable network dynamics. Most representative techniques are targeted at reducing the delivery path length or optimizing routing path by utilizing network locality. In this paper, we identify the inefficiency of geo-distance based routing protocols in many existing multicast overlay networks in terms of both resource utilization and group communication efficiency. To address this issue, we develop a utility-based routing scheme (UDR) that can provide efficient group communication services in a decentralized geographical overlay network. Our approach makes three unique contributions. First, we introduce a utility function to refine the geo-distance based routing in such a way that the routing path selection can carefully incorporate both geo-distance based metric and the network latency. Second, we enhance our utility driven routing scheme with self-adaptive capability by considering the nodes?? state and network density. Thus, nodes in the multicast network can dynamically accommodate the changes of network conditions based solely on their local knowledge about the network. Third, we devise a suite of optimization techniques to minimize the maintenance cost and computational complexity of our self-adaptive and utility-drive routing scheme. We evaluate our approach through extensive experiments based on a realistic network topology model and show that the UDR method is highly scalable and it effectively enhances the multicast delivery efficiency for large scale group communication services compared to existing geo-distance based routing protocols.