基于线性能量函数的组播路由算法性能评价策略

作为下一代高速网络的核心技术之一,多约束服务质量组播路由成为了当前网络研究的重点,但对算法性能进行合理的评价仍是一个开放性问题。提出了一种基于线性能量函数的组播路由算法性能综合评价策略——IESMR。算法通过线性能量函数将待评价组播算法的各项QoS性能转化为单一度量值,考察其距极限最优能量值的偏差半径作为算法性能综合度量指标。     

基于SDN的卫星网络多QoS目标优化路由算法

针对传统卫星网络中业务类型多样化导致的网络配置复杂和业务服务质量(quality of service, QoS)无法得到有效保障的问题,研究了基于软件定义网络(software-defined networking, SDN)的卫星网络架构,提出了一种能够满足多种QoS需求的自适应路由算法。首先,建立了软件定义卫星网络多约束条件路由选择优化模型;然后,使用拉格朗日松弛法对模型进行松弛处理;最后,使用梯度法进行迭代求解,搜索出满足带宽、时延、丢包率等多种QoS的最优路径。研究结果表明,该优化算法在QoS满意度方面相比近地轨道卫星路由算法提高了64%,在时延满意度和丢包率满意度方面相比软件定义路由算法提高了28%。     

两种带多约束的组播路由算法

组播对其成员节点能够提供服务质量,且组播在未来通信网络当中起到越来越重要的角色.对多约束斯坦利最小树问题,提出了基于Boruvka方法的多约束组播算法(BMCMRA)与基于Kruskal方法的多约束组播算法(KMCMRA).仿真试验表明算法具有良好代价性能,且能够很好地满足多约束条件.     

基于禁忌搜索的负载均衡组播路由算法

提出了一种基于禁忌搜索策略的能实现网络负载均衡的QoS组播路由优化算法。该算法在满足业务带宽和时延的基本要求下,将网络费用和负载均衡分布作为目标函数进行优化,达到网络费用较小和负载均衡分布的目的。仿真结果表明,该算法是一个有效、可行的算法。     

基于配队蚁群算法的QoS组播路由方法

QoS组播路由是网络信息传输的一项关键技术,提出了一种配队蚁群算法对该问题进行求解。算法以满足约束条件下的组播分解、策略控制下的组播树生成为基本思想;定义了扩展组播树,并改进了蚁群算法的信息素更新策略,使之更适合于组播问题的求解。仿真实验表明,该算法能快速搜索并收敛到全局(近似)最优解,且随着网络规模的增大算法保持了良好的特性。     

QoS动态变化的服务选择算法

由于现代战争的快节奏和异常激烈,在面向服务的军事综合电子信息系统中候选服务的服务质量往往随时间快速变化,有时还有服务的加入和退出,现有组合服务选择方法很难应对这种场景. 提出了一种基于危险理论的动态约束多目标免疫克隆算法（DCMOICADT）用于QoS动态变化的服务选择. 首先将基于QoS的军事信息服务选择问题建模为带QoS约束的动态多目标组合优化问题,接着采用基于危险理论的动态约束多目标免疫克隆算法同时优化多个目标函数,最终产生一组满足约束条件的Pareto最优解服务组合集. 对比实验结果表明,DCMOICADT设计了环境感知因式用于描述QoS动态变化,使用Pareto-占优集和有益不可行解协同的免疫进化方案,能根据当前环境的变化快速且自适应地调整各免疫操作,所得最优解集具有较好的多样性和较强的逼近性,能有效解决QoS 动态变化的军事信息服务选择问题.     

基于改进蚁群算法的QoS单播路由优化

对现代通信网中具有时延和带宽约束的QoS单播路由问题提出了一种基于改进蚁群算法的路由优化.该算法结合蚁群系统的特点对基本蚁群算法进行了三方面的改进:在信息素初始化中考虑食物源(目的节点)向周围散发气味的过程;将时廷和带宽信息加入启发式函数;引入"弱淘汰"法则全局更新信息素.仿真实验表明该算法可以更快地找到满足时延和带宽请求的最小费用路由.     

基于遗传算法与模糊选择的多播路由优化

遗传算法在优化计算特别是在多播路由问题中得到了广泛应用,但在进行大规模优化时,遗传算法存在着爬山能力差以及不成熟收敛等缺点。为此,提出基于启发式遗传算法和模糊选择机制的新型多播树计算方法,本算法采用树型结构编码和高效的遗传操作,同时优化时延、丢包率和带宽利用率等多个参数。仿真实验表明,这种算法用于多播路由多目标优化问题时,可以克服采用遗传算法进行多目标优化的缺陷。     

基于双种群协同进化的QoS全局最优

针对服务质量（quality of service, QoS）全局最优Web服务选择问题,提出了一种双种群协同进化QoS全局最优Web服务选择算法。算法在多目标离散粒子群算法基础上设计一种双种群协同进化框架以同步进行非支配排序和精英粒子保留,并定义了一种新的离散粒子位置更新算子。同时为保证粒子的多样性和算法的全局收敛能力,算法采用基于距离的粒子多样性度量算子、基于适应值排序的粒子选择算法和基于轮盘赌的全局最优解选择策略。仿真实验结果表明该算法能同时优化多个目标,并得到一组满足约束的Pareto最优解,且具有较好的性能和鲁棒性,解集的质量和分布也优于非支配排序遗传（nondominated sorting genetic algorithm,NSGA）算法的改进算法NSGA-Ⅱ,能有效解决QoS全局最优的Web服务选择问题。     

基于改进AGD-分布式多智能体系统的目标优化分配模型

由于现代化战场环境动态多变、作战实时性高,针对当前防空作战中武器目标分配(weapon target assignment, WTA)约束多且复杂、传统建模无法真实反映战争过程、模型可信度不高等问题,提出一种在分布式约束优化问题(distributed constraint optimization problem, DCOP)背景下,基于多智能体系统(multi-Agent system, MAS)理论的武器目标优化分配模型,并利用改进的加速梯度下降(accelerated gradient descent, AGD)算法进行求解。通过实验证明了该算法具有良好的收敛性和低复杂度,能够适应现代化防空作战的需求,满足大规模寻优问题的需求,高效解决多智能体目标优化分配问题。     

Optimizing on multiple constrained QoS multicast routing algorithms based on GA

With the rapid development of Internet, mobile networks and high-performance networking technology,multiple constrained QoS multicast routing optimization in networks with uncertain parameters has become a very important research issue in the areas of networks and distributed systems. It is also a challenging and hard problem to the next generation Internet and high-performance networks, and has attracted the interests of many people. This paper discusses the multiple constrained QoS multicast routing problem, which may deal with the delay, delay jitter,bandwidth and packet loss metrics, and describes a network model for researching the routing problem. The paper mainly presents multiple constrained QoS multicast routing algorithm (MCQMRA), a QoS multicast routing policy for Internet,mobile network or other high-performance networks, which is based on the genetic algorithm (GA) and can provide QoS-sensitive paths in a scalable and flexible wayin the network environment with uncertain parameters. The MCQMRA can also optimize the network resources such as bandwidth, delay, packet loss metrics and can converge to the optimal or near-optimal solution within few iterations, even for the network environment with uncertain parameters. Simulation results show that MCQMRA is an available approach to QoS multicast routing decision.     

QoS multicast routing algorithm based on GA

1 .INTRODUCTIONTheprovisionofquality of service (QoS) guaranteesisofutmostimportanceforthedevelopmentofthemulticastservices .Multicastroutinghascontinuedtobeaveryimportantresearchissueintheareasofnet worksanddistributedsystems.Ithasattractedtheinterestsof…     

QoS-aware multicast routing protocol for Ad hoc networks

1 .INTRODUCTIONA mobile ad hoc network ( MANET) is a multi-hopwireless network formed by a collection of mobilenodes without the intervention of fixedinfrastructure.Because an Ad hoc network is infrastructure-less andself-organized,it is used to provide i mpromptu com-munication facilities in harsh environments . Typicalapplication areas of mobile ad hoc networkinclude bat-tlefields ,emergency search,rescue sites and data ac-quisitionin remote areas . A mobile Ad hoc networkisalso usef…     

Distributed QoS multicast routing protocol in ad hoc networks

1 .INTRODUCTIONMobile ad hoc networks ( MANET) , also calledthe infrastructureless mobile network or self-or-ganized network,consists of a collection of mobilenodes sharing a wireless channel without any cen-tralized control or established communication back-bone .ad hoc networks have no fixed routers ;allnodes are capable of movement and can be connect-ed dynamically in an arbitrary manner . Usually ,these nodes act as both end systems and routers atthe same ti me . Nodes of these netwo…     

Distributed QoS multicast routing in networks with imprecise state information

1.INTRODUCTION WiththerapiddevelopmentofInternet,mobilenet worksandhigh performancenetworkingtechnology,itbringsoutextensiveinterestsofpeopleinproviding multimediaandreal timeservicessuchasvideoconfer ence,distanceeducation,entertainmentandsoon.Theseservicesrequirecertainquality of service(QoS)fromthenetworks.Thatis,thereshouldbe guaranteesastobandwidth,delay,delay jitter,ratio ofpacket lossandlowcostduringthedatatransmis sion.Meanwhile,multicastserviceshavebeenused invariousmultimediaap…     

A Heuristic Algorithm for QoS Multicast Routing

In recent years, QoS multicast routing has continued to be a very important research topic in the areas of networks. This paper presents a heuristic algorithm for the QoS multicast routing (HAQMR). This heuristic algorithm deals with delay and bandwidth constraints and has low cost. The HAQMR attempts to significantly reduce the overhead for constructing a multicast tree, the proof for correctness of the HAQMR is given, and the performance of the HAQMR is evaluated by simulations. The study shows that HAQMR provides an available approach to QoS multicast routing.     

A multicast routing algorithm with multiple trees

1.INTRODUCTION Qualityofservice(QoS)multicastroutinghascon tinuedtobeaveryimportantresearchtopicintheIn ternet.Multicastisacommunicationservicethatal lowssimultaneoustransmissionofthesamemessage fromonesourcetoagroupofdestinationnodes.To carryoutdifferentmulticastsessions,anetworkmust minimizethesessions’resourceconsumption,while meetingtheirrequirements.Efficientallocationof networkresourcestosatisfyQoSrequirementsisthe primarygoalofmulticastrouting.Howevertheinter dependencyandconfli…     

Multiple constraints-based QoS multicast routing: model and algorithms

1.INTRODUCTION Multicastserviceshavebeenusedbyvariouscontinu ousmediaapplications.Forexample,themulticast backbone(Mbone)oftheInternethasbeenusedto transportrealtimeaudio/videofornews,entertain ment,videoconferencing,anddistancelearning.The provisionofQoSguaranteesisofutmostimportance forthedevelopmentofthemulticastservices.Multi castroutinghascontinuedtobeaveryimportantre searchissueintheareasofnetworksanddistributed systems[1～4].Itattractstheinterestsofmanypeo ple. Afrequently…     

Multicast routing algorithm of multiple QoS based on widest-bandwidth

1 .INTRODUCTIONA mobile Ad hoc network refers to a temporal multi-hop autonomy system,whichis constituted by a groupof mobile nodes containing wireless send-receive equip-ments[1].It possesses manycharacteristics-fast-deploy-able,self-organized,acentric , movable and of multi-hop.It can be wildly applied to many fields ,such asnational defense,emergency and disaster ,scientificin-vestigation and exploration etc .,and uponthat ,it hasgreat prospects[1 ,3 6]. With the wide spread of mo-bile…