一种时延受限的低代价移动IP组播路由算法

基于固定和移动IP混合网络，针对时延敏感的实时通信业务，建立了网络模型，提出了有时延约束的低代价组播路由问题，给出了一种分布启发式组播路由算法，证明了算法的正确性，分析了算法的复杂度。仿真结果表明，算法是有效的、稳定的。     

时延和时延抖动约束的低费用多播路由算法

为了有效支持交互式实时组播业务,不仅要考虑时延约束,而且要考虑时延抖动约束,同时还需高效管理网络资源,以降低多播费用。本文提出了一种新的时延和时延抖动约束的低费用我播路由启发式算法,仿真结果表明该算法复杂度较低,时延抖动较小,又降低了网络费用,是一种快速有效的多播路由算法。     

一种基于带宽和时延约束的分布式组播路由算法

针对已有分布式组播路由算法在寻找QoS路由时的低成功率问题,本文提出了一种新的基于带宽和时延约束的分布式组播路由算法-QDMR(QoS-based Distributed Multicast Routing).在为新组播成员搜索连接到组播树的可行路径时,QDMR算法使用RBMF(Reverse Best Metric Forwarding)转发算法代替RPF(Reverse Path Forwarding)转发算法,从而优先搜索满足带宽和时延约束要求的路径,然后才考虑代价的优化.模拟分析表明,QDMR提高了路由搜索的成功率,并且降低了协议开销.     

基于可用带宽满足时延和时延差别 约束的实时多播路由算法

实时多播路由中具有可加性的代价(Cost)不能确切反映网络本质特性,尤其不能反映路径带宽的凹性(Concave).已有基于代价的算法不能很好适应多播应用,需要新的模型和算法.本文采用可用带宽代替代价作为主要度量,并满足实时多播中二个重要约束度量:时延和时延差别.同时基于此三个度量,本文提出二种新的具有多项式复杂性的实时多播路由算法并比较其性能.新算法通过分析得到每路径时延和二约束之间的关系,有效降低涉及时延和时延差别此类问题的复杂性.新算法采用度量反映实时多播本质特性而具有实际推广性.     

一种时延和时延抖动受约束的启发式多播路由算法

多播路由算法在组播应用中是至关重要的,对视频会议等交互式实时组播业务来说,不仅要考虑时延约束,而且要考虑时延抖动约束。本文提出了一种基于最短时延路径的时延和时延抖动约束的启发式算法,仿真结果表明该算法复杂度较低,而且性能也较好,在算法复杂度和性能之间达到了很好的折中。     

基于时延限制的分布式组播路由选择算法

本文基于最短路径算法提出了主树的概念,并且利用组播树的代价和时延限制的定义给出了一种分布式组播路由选择算法。可以在时延限制的前提下使组播树的代价接近最优。最后,给出了在ＯＰＮＥＴ环境中的仿真结果,并根据结果说明了本文方法的有效性。     

基于精确罚函数法的遗传算法求解时延约束组播路由问题

有时延约束的组播问题是通信网络多点路由优化问题中的重要部分,已被证明是NP-complete问题.本文提出了一种基于罚函数法的启发式遗传算法以求解该问题,并讨论了违反时延约束不可行解的罚函数选取问题,进化过程中采用适于此类问题的动态交配概率、变异概率以提高算法的收敛速度.最后分析了算法的复杂度.仿真表明,本文算法是有效的、稳定的.     

一种改进的时延受限低代价光组播路由算法

针对光网络时延受限光组播路由计算复杂度高的问题,提出一种基于改进的和声搜索求解时延受限光组播路由的算法。论文通过引入自适应的和声记忆保留率及微调概率提高和声算法搜寻到全局最优光组播树的能力;算法设计了一个能够保持备选光组播树多样性的动态适应度函数以扩大光组播路由的搜索范围;同时,算法在初始化和声库时采用精英保留策略简化和声迭代过程。仿真结果表明,提出的改进算法能够求得代价更低的光组播路由,且算法在较大光网络规模下具有较好的收敛稳定性。     

基于信源路由的时延受限点到点路由算法

本文研究了网络路由中的一个NPC问题:时延受限最小代价路由问题.文中提出了一个理论框架,并给出了多个简单有效的启发式算法,在满足给定时延约束条件可行路径存在时,算法总能找到满足约束条件的代价优化路径.文中提出的启发式算法复杂性为O(|V|²)且在线复杂性为O(|V|).仿真显示算法取得了良好的平均代价性能.最后将模型扩展到多QoS限制条件下的路由问题.     

一种多约束QoS多播路由算法

提出了带宽时延约束、代价最小的QoS多播路由模型,并提出了一种启发式算法求解该问题,分析了算法的复杂度。仿真试验证明,该算法是稳定有效的。它能够在满足两种约束的情况下,使多播树的代价优化。     

Directional core selection approach and dynamic tree reorganization for delay and delay variation multicast routing

Multicast communication constrained by end‐to‐end and interdestination delay variation is known as delay and delay variation–bounded multicast. These constraints are salient for real‐time multicast communications. In this paper, we propose a directional core selection algorithm for core selection and delay variation–bounded multicast tree generation. Another algorithm, based on k‐shortest paths, is proposed to further decrease the interdestination delay variation of the trees generated by directional core selection. We also propose the dynamic version of both algorithms that respond to dynamic join and leave requests to the ongoing multicast session by reorganizing the tree and avoiding session disruption. Simulations show that the proposed algorithms surpass existing algorithms in end‐to‐end delay, interdestination delay variation, execution time, and failure probability.     

A new delay‐constrained algorithm for multicast routing tree construction

New multimedia applications provide guaranteed end‐to‐end quality of service (QoS) and have stringent constraints on delay, delay‐jitter, bandwidth, cost, etc. The main task of QoS routing is to find a route in the network, with sufficient resources to satisfy the constraints. Most multicast routing algorithms are not fast enough for large‐scale networks and where the source node uses global cost information to construct a multicast tree. We propose a fast and simple heuristic algorithm (EPDT) for delay‐constrained routing problem for multicast tree construction. This algorithm uses a greedy strategy based on shortest‐path and minimal spanning trees. It combines the minimum cost and the minimum radius objectives by combining respectively optimal Prim's and Dijkstra's algorithms. It biases routes through destinations. Besides, it uses cost information only from neighbouring nodes as it proceeds, which makes it more practical, from an implementation point of view. Copyright © 2004 John Wiley & Sons, Ltd.     

QoS multicast routing with delay constraints

Proliferation of group-based real-time applications, such as online games and video conferencing has motivated research into QoS multicast routing. These types of applications require consideration of both source-to-destination delay (i.e., packet delay from the source to all destinations) and inter-destination delay variation (i.e., the difference in packet delay from the source to different destinations) constraints. In this paper, we formulate a new combined problem for delay partitioning and multicast routing with source-to-destination delay and inter-destination delay variation constraints in a QoS framework, where a delay dependent cost function is associated with each network link. After identifying the problem asnp-complete, we introduce a Genetic Algorithm (ga) based algorithm that computes a source-based multicast tree which satisfies both constraints with near-optimal cost. We compare differentga schemes using different selection operators and find that the combination of Steady Statega and Remainder Stochastic Sampling selection operator works best for our problem. Simulation results also show that ourga heuristic consistently perfornis better than several other simple heuristics.     

基于延时及带宽约束的组播路由算法

本文分析了网络中基于延时和带宽受限的组播路由优化问题,提出了一种新的启发式算法,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组组播通信时的QoS路由选择问题。此方案不仅保证了组播业务所需的带宽、端到端延时、减小了丢包率,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。     

ESC: Estimation of selecting core for reducing multicast delay variation under delay constraints

With the spread of multimedia group applications, the construction of multicast trees satisfying the Quality of Service (QoS) requirements becomes a problem of prime importance. A principal factor of these real‐time applications is to optimize the delay‐ and delay variation‐bounded multicast tree (DVBMT) problem. This problem is to satisfy the minimum delay variation and the end‐to‐end delay within an upper bound. The DVBMT problem is known as an NP‐complete problem. The representative algorithms are the DVMA, the DDVCA, and the ECS algorithm. In this paper, we show that the proposed ESC algorithm outperforms the DDVCA and the ECS algorithm. The efficiency of our algorithm is verified through performance evaluation and the enhancement is up to about 19.6% in terms of normalized surcharge for multicast delay variation. The time complexity of our algorithm is O(mn²), which is comparable to the well‐known DDVCA. Copyright © 2010 John Wiley & Sons, Ltd.     

组播路由调度的神经网络方法

本文探讨了在高速包交换计算机网络中，具有端到端时延及时延抖动限制的组播路由问题。首先给出了此类问题的网络模型及其数学描述，然后提出了基于Ｈｏｐｆｉｅｌｄ神经网络的组播路由优化算法。实验表明，本算法能根据组播应用对时延的要求，快速、有效地构造最优组播树，有较强的实时性。     

Ad Hoc网络中基于粒子群优化的QoS多播路由研究

针对Ad Hoc网络中带QoS约束的多播路由问题，提出了一种新的结合MAODV多播路由发现方法和粒．子群优化算法的QoS多播路由发现算法。仿真试验显示该算法较好地改进了端到端传输的代价、延时和带宽利用率，能够找到一棵消耗趋于最小、状态稳定的多播路由树。     

基于蚂蚁算法的时延受限分布式多播路由研究

本文探讨了在高速包交换计算机网络中,具有端到端时延限制的多播路由问题。提出了一种新颖的基于蚂蚁算法的多播路由优化算法,该算法是完全分布式的。仿真实验表明,用该算法产生的多播路由树的费用比已存在的主要算法更好,并且适应于多播成员数的变化。