MANET中基于动态资源管理的QoS路由模型研究

由于时变链路和节点移动的无规则性导致了常规路由协议在MANET环境下无法正常工作,在MANET中确立QoS路由和保障QoS路由传输是促使该网络走向实用的关键。针对这一情况,在通用QoS框架和INSIGNIA结构基础上,提出了一种基于动态资源管理的QoS路由模型,该模型通过QoS路由建立模块和动态资源调整机制来实现MANET中路由的QoS保障。模拟结果显示该模型可以有效地支持MANET中满足QoS需求的多媒体信息传输。     

MANET中一种基于移动预测的单向QoS路由

针对MANET中QoS需求与隐藏终端等问题，提出了一种基于移动预测的单向QoS路由协议，该协议充分利用网络中存在的单向链路，采用移动预测机制，通过选取满足QoS条件的最稳路径的方式为数据流选择最佳路由，分析和实验结果表明，这种协议具有数据包传送成功概率高和控制开销低等优点，能有效支持单向MANET中具有QoS需求的多媒体信息传输。     

一种基于AODV的QoS路由协议

移动Ad hoc网络(MANET)由于不需要固定的基础设施,并可以快速部署和配置,在军事、民用方面都有广泛的应用前景.在MANET上提供服务质量QoS保证,对传输多媒体应用或紧急数据是十分必要的.QoS路由是实施MANET网络QoS机制的重要途径.文中在AODV路由协议的基础上,提出了一种能提供QoS支持的路由协议Q-AODV-Clustering,该协议既较好地解决了AODV的扩展性问题,又能提供以带宽为指标的QoS的支持.通过仿真实验对协议的性能作了分析,结果证明了协议的有效性.     

移动自组网基于动态簇的MAC协议与QoS路由

论文针对移动自组网提出了一种基于动态簇的MAC协议和QoS路由算法,使用全分布式动态簇生成算法实现了对网络拓扑的分簇与维护;利用正交编码原理和蜂窝小区技术实现了基于动态簇的MAC协议;融合资源预留、移动预测和后备路径技术实现了具有QoS保障的路由算法。仿真结果对比表明:在满足QoS条件下,它提高了路由效率。     

移动自组网QoS组播路由协议的研究

针对已有的移动自组网中QoS路由协议进行了分析比较,提出了一种基于逻辑超立方体的虚拟动态骨干网模型以支持QoS组播通信。该模型具有高可用性和负载均衡的特性，而这两种特性是在移动自组网中提供QoS保证的重要前提。基于该模型又设计了一种新颖的基于逻辑位置信息的QoS组播路由算法：自路由，模拟结果显示该算法性能良好，具有延迟小、抖动小、容错性强的特点。     

基于OPNET的MAODV协议仿真实现及分析

移动Ad Hoc网络(MANET)的路由协议对网络的性能有较大影响,尤其在多播的场景下,好的多播路由协议可以节省大量无线传输带宽。MAODV路由协议是在AODV路由协议的基础上进行的多播扩展,也是目前MANET网络多播路由协议的研究热点。通过使用OPNET网络仿真软件,对MAODV协议进行仿真建模,使OPNET在MANET场景下支持多播路由协议的仿真,为其它需要MANET网络多播路由协议的场景提供支持。对仿真建模的结果进行了多方面的验证,以保证建模的正确性和有效性。     

基于UWB技术的无线移动多媒体QoS路由协议

随着UWB技术的出现,无线移动多媒体业务在自组网中的应用成为可能。为了满足无线移动多媒体传输的需要,设计了一种新的针对多媒体业务的QoS路由协议,给出了协议的详细描述。由于该协议充分利用了UWB技术的速率和距离互换特性,考虑了传输速率、时延和链路拥塞程度3个QoS参数,并借鉴无线移动自组网基本路由协议DSR和AODV,因此不仅能够获得满足业务要求的路由,且能提前预测链路的中断,以便及时切换替代路由。与目前已提出的基于UWB技术的路由协议相比,该协议更适合于无线移动多媒体业务的传输。     

MANET中一种基于单向链路的QoS路由协议

MANET是由一系列动态节点主机临时组成的多跳性无线网络。由于其拓扑的动态性,传统路由协议不再适应本网络。为降低控制开销,满足QoS需求,并考虑到隐藏终端等问题,论文提出了一种基于单向链路的QoS路由协议QRUL。该协议采用按需方式查找路由,并通过选取满足QoS条件(链路带宽和传输延时)的最短传输路径来实现。仿真结果表明该协议具有良好的网络性能,能有效支持多媒体信息传输。     

移动自组网中一种基于最稳路径的QoS路由

该文提出了一种基于预测机制的QoS路由协议。该协议在移动预测的机制下，通过选取满足QoS条件（链路带宽和传感延时）的最稳传输路径来实现，模拟结果表明这种方案在自组网中可获得较好的网络性能和较低的控制开销，能有效支持具有QoS需求的多媒体信息的传输。     

MANET中一种基于移动预测的unicast路由协议

MANET是由一系列可以自由移动的节点主机聚集而成的一个临时性动态网络。它没有固定基站,也没有作为控制管理中心的节点主机。由于其拓扑的动态性,其路由协议不同于其它网络。为更有效支持MANET的应用,文章提出了一种基于移动预测下的Unicast路由。该协议采用GPS定位机制,通过预测路径有效连接时间来实现。模拟结果表明这种方案能获得较好的网络性能和较低的控制开销。     

Improvement of battery lifetime in software-defined network using particle swarm optimization based cluster-head gateway switch routing protocol with fuzzy rules

The software-defined network (SDN) is one of the network architectures, in which the data plane and control plane is divided from each other, and the network can be handled using a sensibly centralized controller and this method is adopted to reconfigure the wireless sensor network automatically. In this article, to implement the SDN in MANET, in which control nodes can be chosen in SDN dynamically for the activation of MANET function to allocate the works to other mobile nodes to the base station. However, in the field of mobile ad hoc networks, the network lifetime, and battery lifetime is one of the major problems and the energy consumption can play a significant rule for the transmission of data in the SDN. Therefore, in this article, particle swarm optimization (PSO) based CGSR (cluster-head gateway switch routing protocol) algorithm with fuzzy rules is proposed to increase the network lifetime of battery powered mobile nodes by reducing the energy consumptions of each node in software-defined MANET. In this proposed method, a routing method that can permit various mobile nodes with low battery power to transmits the data from source node to base station. We design a PSO based CGSR routing protocol by selecting the routing mobile nodes using fuzzy rules for packet transmission. In CGSR process, the formation of cluster and selection of cluster head is executed depending on the particle swarm optimization method. This proposed routing protocol can be used to enhance the battery lifetime by extension of the network lifetime with numerical analysis for efficient route node selection.     

MANET中一种新QoS路由技术的研究

移动AdHoc网络（MANET）支持QoS保证的能力,受限于无线介质的带宽和节点的移动特性。由于节点的移动,网络拓朴频繁发生变化,一旦节点移动,当前的路由就很容易失效,从而造成通讯中断,这种情况就是链路失效。QoS路由是MANET获得端到端QoS保证的第1步。然而,拓朴变化造成的链路失效状况的存在,使得路由的可靠性对于QoS路由而言非常重要。为使链路失效造成的影响最小,找到生存时间长并且可靠性高的路由就显得尤为重要。提出了一种在MANET中支持Oos路由,并能较好解决链路失效状况的方案。该方案定义了一种新机制,在执行时类似表驱路由协议,通过利用主路径上被共享的邻居节点信息,为主路径上各个独立的子路径预备了可替换的路径。     

Energy Based Random Repeat Trust Computation in Delay Tolerant Network

As the use of mobile devices continues to rise, trust administration will significantly improve security in routing the guaranteed quality of service (QoS) supply in Mobile Ad Hoc Networks (MANET) due to the mobility of the nodes. There is no continuance of network communication between nodes in a delay-tolerant network (DTN). DTN is designed to complete recurring connections between nodes. This approach proposes a dynamic source routing protocol (DSR) based on a feed-forward neural network (FFNN) and energy-based random repetition trust calculation in DTN. If another node is looking for a node that swerved off of its path in this situation, routing will fail since it won’t recognize it. However, in the suggested strategy, nodes do not stray from their pathways for routing. It is only likely that the message will reach the destination node if the nodes encounter their destination or an appropriate transitional node on their default mobility route, based on their pattern of mobility. The EBRRTC-DTN algorithm (Energy based random repeat trust computation) is based on the time that has passed since nodes last encountered the destination node. Compared to other existing techniques, simulation results show that this process makes the best decision and expertly determines the best and most appropriate route to send messages to the destination node, which improves routing performance, increases the number of delivered messages, and decreases delivery delay. Therefore, the suggested method is better at providing better QoS (Quality of Service) and increasing network lifetime, tolerating network system latency.     

A Novel Gradient Boosted Energy Optimization Model (GBEOM) for MANET

Mobile Ad Hoc Network (MANET) is an infrastructure-less network that is comprised of a set of nodes that move randomly. In MANET, the overall performance is improved through multipath multicast routing to achieve the quality of service (quality of service). In this, different nodes are involved in the information data collection and transmission to the destination nodes in the network. The different nodes are combined and presented to achieve energy-efficient data transmission and classification of the nodes. The route identification and routing are established based on the data broadcast by the network nodes. In transmitting the data packet, evaluating the data delivery ratio is necessary to achieve optimal data transmission in the network. Furthermore, energy consumption and overhead are considered essential factors for the effective data transmission rate and better data delivery rate. In this paper, a Gradient-Based Energy Optimization model (GBEOM) for the route in MANET is proposed to achieve an improved data delivery rate. Initially, the Weighted Multi-objective Cluster-based Spider Monkey Load Balancing (WMC-SMLB) technique is utilized for obtaining energy efficiency and load balancing routing. The WMC algorithm is applied to perform an efficient node clustering process from the considered mobile nodes in MANET. Load balancing efficiency is improved with a higher data delivery ratio and minimum routing overhead based on the residual energy and bandwidth estimation. Next, the Gradient Boosted Multinomial ID3 Classification algorithm is applied to improve the performance of multipath multicast routing in MANET with minimal energy consumption and higher load balancing efficiency. The proposed GBEOM exhibits ∼4% improved performance in MANET routing.