无线网络中基于DSDV的最大化吞吐量的协作路由算法

为最大化无线自组织网络的吞吐量,提出一种自适应的协作路由算法。在算法中,协作分集技术与路由选择相结合,通过在路由的每一跳选择最佳的中继节点协作发送节点传输信息来改善网络吞吐量。首先通过目的序列距离矢量路由协议（DSDV）初步建立最短路由路径,在每条链路的发送节点和接收节点根据邻节点表选出公共邻居节点,建立候选中继集合;进一步,每一跳根据链路吞吐量,在候选中继集合中自适应选择最多两个中继来协助发送节点进行传输,并根据选出的中继节点数动态分配节点发射功率。在保证系统发射功率一定的情况下,最大化网络吞吐量。仿真结果表明,在相同的发射功率下,相对于非协作路由DSDV算法,采用固定数量中继的协作路由算法提高了整个网络的吞吐量,而自适应的协作路由算法可进一步提高吞吐量;同时仿真了网络吞吐量与网络规模和节点最大移动速度的变化关系。      

一种基于流内与流间网络编码的无线路由算法

 网络编码能极大提高网络吞吐量和可靠性.该文提出了一种基于流内网络编码与流间网络编码的无线路由算法,首先用改进的流间网络编码策略寻找一条固定路由,发现尽可能多的编码机会以减少传输次数;再用流内网络编码与局部机会路由结合的方法实施每跳的数据包传输,减少数据包的重传次数.理论分析和仿真实验表明,此算法比传统的编码感知路由算法具有更高的吞吐量和可靠性.     

基于鲁棒性的移动自组织网络路由选择算法

移动Adhoc网络中传输流时,通常受到节点的移动性引起的路由中断影响。当传输实时数据流时,必须提供具有鲁棒性的路由。提出了基于鲁棒吞吐量的路由选择方法进行路由选择,可以极大地提高MANET网络系统的吞吐量速率。按需鲁棒路由算法（distributedon-demand routing and flow admission,DRFA）方案选择性的发现路由,保证准备传输的流或文件不中断（包括不重新选择路由）的传输。     

分布式多网关无线mesh网公平协作路由算法

现有的协作路由协议不能公平地分配无线网络资源,无法满足网络最小流的吞吐量需求。将多并发流的协作路由问题形式化成一个最大化网络整体效用的凸优化问题,并基于对偶分解和子梯度,提出一种分布式的多网关无线mesh网公平协作路由算法FCRMG。实验结果表明,与基于期望传输时间的非协作路由和基于竞争感知的协作路由相比,FCRMG算法在保证网络吞吐量的前提下,能显著提高最小业务流的吞吐量。     

基于网络编码的无线网络路由协议

基于机会的网络编码方法(COPE)研究网络编码在无线环境中的协议层面上具体实现的问题,但COPE被动地等待编码机会的出现.为了更大限度的提高网络编码的性能,需要将网络编码与无线路由协议相结合来在无线节点上创造出更多的编码机会以减少总的传输次数,以有效的提升网络的吞吐量.当前的编码感知路由算法主要包括基于Markovian路由度量的路由协议、编码感知机会路由协议(CORE)、分布式编码感知路由协议(DCAR)、速率匹配的编码感知多路径路由协议(RCR)、编码感知多路径路由协议(CAMP)等.无线网络内的编码感知路由领域中新型路由度量和跨层设计等问题还需要进一步研究.     

ad hoc网络中一种基于信任模型的机会路由算法

由于ad hoc网络具有缺乏足够的物理保护、拓扑结构动态变化、采用分布式协作、节点的带宽和计算能力有限等特点,导致传统的路由安全机制不再适合ad hoc网络路由协议的设计。最近当前研究热点之一的机会路由能够在链路不可靠的情况下充分利用无线广播和空间多样性的特性提高网络的吞吐量。因此,考虑在机会路由中引入信任相似性概念设计信任机会路由,建立了基于节点信任度和最小成本的信任机会转发模型,提出了最小成本的机会路由算法MCOR,并对算法进行了理论上的分析和证明。最后采用仿真实验对该算法进行验证,又与经典机会路由协议ExOR以及其他经典的信任路由协议TAODV和Watchdog-DSR进行性能对比。仿真结果表明,MCOR算法能够防范恶意节点的攻击,在吞吐量、端到端时延、期望转发次数(ETX)和成本开销等方面都比其他3种协议表现出性能上的优势。     

基于多方议价博弈的机会网络高吞吐量低开销概率路由算法

针对含自私节点的机会网络中现有基于议价博弈的概率路由算法存在的消息单向传递影响转发概率提高、依赖虚拟货币进行交易削弱节点购买力以及消息交易过程有冗余交互的问题,提出一种基于多方议价博弈的高吞吐量低开销概率路由算法——HLPR-MG。HLPR-MG算法通过将节点两两博弈扩展为多方博弈以加快消息转发概率的提升,引入“以物易物”方式增强节点购买力,并且改进现有交互机制以减少博弈次数,从而达到提高网络吞吐量的和减小控制开销的效果。理论分析验证了HLPR-MG算法设计的有效性。仿真结果表明,与基于议价博弈的现有典型路由算法GSCP和BG相比,HLPR-MG算法的吞吐量和消息传送成功率至少提高了3.63%,而控制开销和平均端到端消息时延则分别降低超17.76%和4.03%。     

基于跨层网络编码感知的无线传感器网络节能路由算法研究

编码感知路由可以发现路由中的网络编码机会,减少数据传输次数,提高网络吞吐量,是近年来路由算法研究的一个热点.当前编码感知路由存在编码条件失效、未考虑节点能量的问题,不适合直接应用于无线传感器网络.本文提出基于跨层网络编码感知的无线传感器网络节能路由算法CAER (Cross layer coding Aware Energy efficient Routing).提出并证明了修正后的网络编码条件,以解决编码条件失效问题.基于跨层思想,将网络编码感知机制与拓扑控制、覆盖控制结合,挖掘潜在编码机会.提出综合考虑节点编码机会、节点能量的跨层综合路由度量CCRM (Cross layer Coding aware Routing Metric).仿真结果表明,相比现有编码感知路由,CAER能够提高网络编码感知准确性,增加网络编码机会数量5%~15%,延长网络生存时间8%~12%.     

波分复用光网络中的波长路由分配策略

路由选择和波长分配是WDM光传输网中非常重要的问题.本文结合交叉连接节点,提出了一种基于最短路径的动态路由选择方案;然后利用这种动态的路由选择策略,以网络的阻塞性能为优化目标分配波长,达到充分利用网络资源的目的.计算机仿真结果表明,无论在单纤或者多纤WDM光传输网络中,利用这种策略的RWA算法优于传统的固定路由和单纯动态路由算法     

无线Mesh网络中转发节点的选择算法

稳定路由是无线Mesh网络(WMNs)的重要性能指标,不稳定路由会引起数据包丢失率和高的传输时延。为此,提出基于熵函数的节点稳定路由(ESR)协议。ESR利用熵函数估计节点稳定度。具体而言,ESR协议收集链路质量,并计算链路稳定值,再依据稳定值估计节点熵。同时,将熵信息载入路由表,并与邻居节点交互。一旦接收此消息,节点就存储于路由表,然后选择具有最大熵的节点作为下一跳节点。实验数据表明,与基于干扰和信道切换(MIC)、基于期望传输次数(ETX)和基于加强学习的连通网关的最佳路径(RLBDR)路由协议相比,提出的ESR协议在吞吐量、时延和数据包丢失率方面均具有较好的性能。     

Mobile node aware opportunistic routing in dynamic wireless sensor network

Opportunistic routing (OR) could adapt to dynamic wireless sensor networks (WSNs) because of its inherent broadcast nature. Most of the existing OR protocols focus on the variations of propagation environment which are caused by channel fading. However, a few works deal with the dynamic scenario with mobile nodes. In this paper, a mobile node (MN) aware OR (MN-OR) is proposed and applied to a WSN in the high-speed railway scenario where the destination node is deployed inside a high speed moving train, and the MN-OR not only considers the mobility of node but also utilizes the candidate waiting time induced by the timer-based coordination scheme. Specifically, to reduce the number of duplicate transmissions and mitigate the delay of information transmission, a new selection strategy of the candidate forwarders is presented. In addition, two priority assignment methods of the candidate forwarders are proposed for the general relay nodes (GRNs) and the rail-side nodes (RSNs) according to their different routing requirements. Extensive simulation results demonstrate that the proposed MN-OR protocol can achieve better network performances compared with some existing routing schemes such as the well-known Ad-hoc on-demand distance vector routing (AODV) and the extremely opportunistic routing (ExOR) protocols.     

Code pruning in opportunistic routing through bidirectional coding traffic comparison

Opportunistic routing (OR) significantly improves transmission reliability and network throughput in wireless mesh networks by utilizing the broadcast nature of the wireless medium. Through the integration of network coding (NC), the complicated coordination to select the best forwarding node (FN) in OR can be bypassed. However, the introduction of NC exacerbates the redundant‐packet‐transmission problem. To mitigate this issue, existing coded OR protocols either adopt the loss‐rate‐based approach, employ orthogonal vectors as coded feedback, or pursue the stream‐based coded OR model. However, these three solutions suffer inaccuracy and obsolescence of the loss‐rate measurement, false‐positive/false‐negative problem, and unavailability of hop‐by‐hop stream‐based OR, respectively. To address the previous problems, we propose a simple but practical coded feedback scheme, cumulative coding coefficient acknowledgement (C³ACK), based on the relevance between forward (coded packets received from upstream nodes) and backward coding traffic (coded packets overheard from downstream nodes), and apply C³ACK to both batch‐based and stream‐based coded OR models in order to prune redundant forward and backward coding traffic. Both testbed evaluation and simulation study show that our code‐pruning schemes can outperform existing approaches in terms of expected throughput and transmission count. Copyright © 2014 John Wiley & Sons, Ltd.     

Performance Analysis of P-GEDIR Protocol for Vehicular Ad Hoc Network in Urban Traffic Environments

A Vehicular Ad hoc Network (VANET) is a wireless ad hoc network that is formed between vehicles on an on demand basis. In VANETs all the vehicles (nodes) are used as routers and these routers are free to move randomly and organized themselves arbitrarily. A lot of research work around the world is being conducted to design an efficient routing protocol for VANETs. In this paper, we propose a new routing method known as Peripheral node based GEographic DIstance Routing (P-GEDIR), a position-based routing protocol that takes advantage of GEographic DIstance Routing (GEDIR). It may not be possible to find node at the extreme end of the transmission range. Therefore, we have considered an area around the extreme end of the transmission range. Further a mathematical model for the protocol has been designed to determine expected number of successful hops, expected distance to the next-hop node, and expected one-hop progress. The protocol has been simulated using MATLAB. In this work, results clearly show that using the peripheral node is an advantage to maximize the performance of routing protocol in terms of average number of successful hops and expected one-hop progress. The result of P-GEDIR is compared with the existing GEDIR protocol.     

Joint multi-cost routing and power control in wireless ad hoc networks

In this work we study the combination of multi-cost routing and adjustable transmission power in wireless ad hoc networks, so as to obtain dynamic energy- and interference-efficient routes to optimize network performance. In multi-cost routing, a vector of cost parameters is assigned to each network link, from which the cost vectors of candidate paths are calculated. Only at the end these parameters are combined in various optimization functions, corresponding to different routing algorithms, for selecting the optimal path. The multi-cost routing problem is a generalization of the multi-constrained problem, where no constraints exist, and is also significantly more powerful than single-cost routing. Since energy is an important limitation of wireless communications, the cost parameters considered are the number of hops, the interference caused, the residual energy and the transmission power of the nodes on the path; other parameters could also be included, as desired. We assume that nodes can use power control to adjust their transmission power to the desired level. The experiments conducted show that the combination of multi-cost routing and adjustable transmission power can lead to reduced interference and energy consumption, improving network performance and lifetime.     

Clustering routing protocol based on improved PSO algorithm in WSN

Aiming at the problem that the location distribution of cluster head nodes filtered by wireless sensor network clustering routing protocol was unbalanced and the data transmission path of forwarding nodes was unreasonable,which would increase the energy consumption of nodes and shorten the network life cycle,a clustering routing protocol based on improved particle swarm optimization algorithm was proposed.In the process of cluster head election,a new fitness function was established by defining the energy factor and position equalization factor of the node,the better candidate cluster head node was evaluated and selected,the position update speed of the candidate cluster head nodes was adjusted by the optimized update learning factor,the local search and speeded up the convergence of the global search was expanded.According to the distance between the forwarding node and the base station,the single-hop or multi-hop transmission mode was adopted,and a multi-hop method was designed based on the minimum spanning tree to select an optimal multi-hop path for the data transmission of the forwarding node.Simulation results show that the clustering routing protocol based on improved particle swarm optimization algorithm can elect cluster head nodes and forwarding nodes with more balanced energy and location,which shortened the communication distance of the network.The energy consumption of nodes is lower and more balanced,effectively extending the network life cycle.     

Improved Shuffled Frog-Leaping Algorithm Based QoS Constrained Multicast Routing for Vanets

Prompt and reliable communication between vehicular nodes are essential as its limited coverage and dynamic mobility rate introduces frequent change of network topology. The key feature of vehicular communication that establishes direct connectivity or Road Side Unit-based data transfer among vehicular nodes is responsible for sharing emergency information during critical situations. Multicast routing data dissemination among vehicular nodes is considered to be the potential method of parallel data transfer as they facilitate the option of determining an optimal multicast tree from feasible number of multicast trees established between the source and destinations. This estimation of optimal multicast tree using meta-heuristic techniques is confirmed to improve the throughput and reliability of the network when QoS-based constraints are imposed during multicast routing. An Improved Shuffled Frog-Leaping Algorithm-Based QoS Constrained Multicast Routing (ISFLABMR) is proposed for estimating an optimal multicast tree that confirms effective multi-constrained applied multicast routing between vehicular nodes. ISFLABMR minimizes the cost of transmission to 22% by reducing the number of multicast clusters formed during multicasting through the utilization of local and global-based optimizations. The simulation results of ISFLABMR proveits predominant reduction rate of 24% and 21% in average packet latency and energy consumptions incurred under multicast routing.     

基于频率域多目标MANETs可信路由决策研究

移动Ad-hoc网络(MANETs)具有开放的媒质,动态的拓扑结构,分布式的合作和受限的网络能力等基本特点。网络中移动节点具有匿名性和高度自治的特点,网络通讯依靠在通信路径上的中间节点转发数据包,实现无线传输范围外节点间的正常通信。该文提出了一种独特的MANETs中基于频率下多目标可信路由决策算法,它和现在大多数路由算法都是在时间域下使用单一约束参数选择路由的方式截然不同。利用概率理论分析安全和可信路由,基于概率密度函数的时频相互转化,减小计算复杂度,解决MEANTs中节点间缺乏物理安全以及在低信任水平和节点相互勾结扰乱网络操作情况下,发现可信安全路由难的问题。实例分析证明了此算法的可行性。     

Energy-balanced cooperative routing in multihop wireless networks

Cooperative communication (CC) allows multiple nodes to simultaneously transmit the same packet to the receiver so that the combined signal at the receiver can be correctly decoded. Since the CC can reduce the transmission power and extend the transmission coverage, it has been considered in minimum energy routing protocols to reduce the total energy consumption. However, previous research on cooperative routing only focuses on minimizing the total energy consumption from the source node to the destination node, which may lead to the unbalanced energy distribution among nodes. In this paper, we aim to study the impact of cooperative routing on balancing the energy distribution among nodes. By introducing a new routing scheme which carefully selects cooperative relay nodes and assigns their transmission power, our cooperative routing method can balance the remaining energy among neighboring nodes to maximize the lifetime of the network. Simulation results demonstrate that the proposed cooperative routing algorithm significantly balances the energy distribution and prolongs the lifetime of the network.     

Energy Efficient QoS Aware Hierarchical KF-MAC Routing Protocol in Manet

The paper proposes an energy efficient quality of services (QoS) aware hierarchical KF-MAC routing protocol in mobile ad-hoc networks. The proposed KF-MAC (K-means cluster formation firefly cluster head selection based MAC routing) protocol reduces the concentration of QoS parameters when the node transmits data from source to destination. At first, K-means clustering technique is utilized for clustering the network into nodes. Then the clustered nodes are classified and optimized by the firefly optimization algorithm to find cluster heads for the clustered nodes. The transmission of data begins in the network nodes and TDMA based MAC routing does communication. The observation on KF-MAC protocol performs well for QoS parameters such as bandwidth, delay, bit error rate and jitter. The evaluation of proposed protocol based on a simulation study concludes that the proposed protocol provides a better result in contrast to the existing fuzzy based energy aware routing protocol and modified dynamic source routing protocol. With KF-MAC protocol, the collision free data transmission with low average energy consumption is achieved.     

Metric anticipation to manage mobility in mobile mesh and ad hoc wireless networks

In mobile ad hoc networks (MANETs), node mobility management is performed by the routing protocol. It may use metrics to reflect link state/quality. But, the delay between measures of the link quality and its integration in the route computation is very detrimental to the mobility management. Consequently, routing protocols may use lossy links for a few seconds leading to a significant performance deterioration. In this paper, we propose a new routing metric technique calculation which aims at anticipating link quality. Basically, the idea is to predict metric values a few seconds in advance, in order to compensate the delay involved by the link quality measurement and their dissemination by the routing protocol. Our technique is based on measurements of signal strength and is integrated in two classical routing metrics: ETX (expected transmission count) and ETT (expected transmission time). Validations are performed through both simulations and a testbed experimentation with OLSR as routing protocol. NS-3 simulations show that our metric may lead to a perfect mobility management with a packet delivery ratio of 100%. Experiments on a testbed prove the feasibility of our approach and show that this technique reduces the packet error rate by a factor of 3 in an indoor environment compared to the classical metrics calculation.