Wi‐Fi‐based modeling and hybrid routing scheme for delay‐tolerant public bus network

Delay‐ or Disruption‐Tolerant Networking (DTN) is a communications approach that is utilized in easily disrupted or delayed networks. Examples of such networks are often found in heterogeneous networks, mobile or extreme terrestrial networks, and planned networks in space. In this paper, we examine the metropolitan bus network as a research target of DTN for a public transport network. We analyze the metropolitan bus network through spatial and temporal modeling using an existing Bus Information System (BIS) database. On the basis of the results of our analysis, we propose and design an appropriate DTN routing scheme called Hybrid Position‐based DTN Routing. This scheme uses position‐based routing instead of address‐based routing by soliciting infrastructural help from nearby Access Points for the real‐time BIS location service. We simulated our scheme using a WLAN for the wideband DTN communication and evaluated it by comparing it with traditional Ad hoc flooding, Epidemic routing, and strategic protocol steps in our own algorithm. The results indicate that our scheme achieves reasonably high performance in terms of packet delivery ratio, latency, and resource usage. Copyright © 2013 John Wiley & Sons, Ltd.     

容迟与容断网络的研究进展

本文简要介绍了容迟与容断网络的基本特征、体系结构、应用领域和比较活跃的研究机构及其主要工作。采用分析和比较的方法,总结了容迟与容断网络路由协议和传输协议的主要研究成果,探讨了相关研究问题,分析比较了容迟与容断网络的仿真工具。最后总结并展望了容迟与容断网络进一步的发展方向。     

空间延迟/中断容忍网络拥塞控制策略研究

针对空间延迟/中断容忍网络（DTN, delay/disruption tolerant network）的拥塞控制问题,提出一种基于提前卸载的拥塞控制策略（EOCC,early offloading-based congestion control）。由于空间DTN网络大时延和不能保证时刻存在端到端路径的特点,EOCC主要利用网络节点的本地信息在拥塞发生前就采取措施。具体地,EOCC会时刻监测节点缓存变化速率,在即将发生拥塞时,将消息通过早于最优路径的非最优路径传输,从而缓解节点存储压力。仿真结果表明,采用EOCC的接触图路由获得了更好的性能。     

基于LSTM模型的动态转发路由协议

文中将容忍延迟网络(Delay Tolerant Network,DTN)应用于船舶通信,提出了一种基于长短时记忆网络(Long Short-Term Memory,LSTM)模型的动态转发路由协议LSTM-DRA(Dynamic Distri-bution Routing Algorithm Based on LST...     

DTN中蔓延路由协议拥塞控制方案研究

针对在DTN中使用蔓延路由协议,受转发节点的缓存限制,导致递交率因网络拥塞而下降的问题,在分析比较几种报文丢弃策略的基础上,提出一种改进的拥塞控制方案。当拥塞发生时,对节点缓存中超过某个TTL门限的报文进行丢弃。将改善递交率作为主要参数,使用ONE仿真器对改进方案的性能进行仿真和比较。结果显示,这种方案很好地实现了拥塞控制。     

Performance Evaluation of a Power Management Scheme for Disruption Tolerant Network

Disruption tolerant network (DTN) is characterized by frequent partitions and intermittent connectivity. Power management issue in such networks is challenging. Existing power management schemes for wireless networks cannot be directly applied to DTNs because they assume the networks are well-connected. Since the network connectivity opportunities are rare, any power management scheme deployed in DTNs should not worsen the existing network connectivity. In this paper, we design a power management scheme called context-aware power management scheme (CAPM) for DTNs. Our CAPM scheme has an adaptive on period feature that allows it to achieve high delivery ratio and low delivery latency when used with Prophet, a recently proposed DTN routing scheme. Via simulations, we evaluate the performance of the CAPM scheme when used with the Prophet routing scheme in different scenarios e.g. different traffic load, node speeds and sleep patterns. Our evaluation results indicate that the CAPM scheme is very promising in providing energy saving (as high as 80%) without degrading much the data delivery performance.     

Quota-Based Multicast Routing in Delay-Tolerant Networks

Delay-Tolerant Networks (DTNs) are special types of network environments that are subject to delays and disruptions. Most research efforts on the DTN routing problem are focused on unicast routing but not multicast routing. Moreover existing DTN multicasting approaches are not efficient and flexible. In this paper, we propose a new multicast routing approach which can not only achieve a high delivery rate but also adapt to network conditions. Most importantly, our proposed approach need not maintain group membership. In other words, any interested users can freely join and leave any multicast groups, and this feature suitably fits into DTN environments.     

DTN routing for quasi‐deterministic networks with application to LEO constellations

We propose a novel DTN routing algorithm, called DQN, specifically designed for quasi‐deterministic networks with an application to satellite constellations. We demonstrate that our proposal efficiently forwards the information over a satellite network derived from the Orbcomm topology while keeping a low replication overhead. We compare our algorithm against other well‐known DTN routing schemes and show that we obtain the lowest replication ratio with a delivery ratio of the same order of magnitude than a reference theoretical optimal routing. We also analyze the impact of terrestrial gateways density and analyze DQN performances in heterogeneous cases. Copyright © 2015 John Wiley & Sons, Ltd.     

Leader Based Group Routing in Disconnected Mobile Ad Hoc Networks with Group Mobility

When there is disconnection in mobile ad hoc network under group mobility, it falls into the delay-tolerant network (DTN). However, most existing research in DTN targets entity mobility. In this paper, we consider the routing strategy for DTN with group mobility, and propose the leader based group routing (LBGR) by making full use of group structure in group mobility. Three major mechanisms closely related to the group mobility are proposed in LBGR. First, we treat each group as one individual unit during routing execution to substantially reduce the routing overhead and the resource requirement. Second, we consider the resource allocation in each group and propose the leader-dominating routing in LBGR to reduce the impact of the group dynamics on network performance. Third, to make better use of the rare contact opportunities in DTN, we propose the group based packet exchange, in which the contact of any two nodes from two groups will trigger the packet exchange between the two groups. By extensive simulation we show that LBGR outperforms two traditional routing protocols, epidemic routing and DSR, in various network conditions. Especially, we will find that the impact of the group dynamics on LBGR is very limited.     

Directional routing and scheduling for green vehicular delay tolerant networks

The vehicle delay tolerant networks (DTNs) make opportunistic communications by utilizing the mobility of vehicles, where the node makes delay-tolerant based “carry and forward” mechanism to deliver the packets. The routing schemes for vehicle networks are challenging for varied network environment. Most of the existing DTN routing including routing for vehicular DTNs mainly focus on metrics such as delay, hop count and bandwidth, etc. A new focus in green communications is with the goal of saving energy by optimizing network performance and ultimately protecting the natural climate. The energy–efficient communication schemes designed for vehicular networks are imminent because of the pollution, energy consumption and heat dissipation. In this paper, we present a directional routing and scheduling scheme (DRSS) for green vehicle DTNs by using Nash Q-learning approach that can optimize the energy efficiency with the considerations of congestion, buffer and delay. Our scheme solves the routing and scheduling problem as a learning process by geographic routing and flow control toward the optimal direction. To speed up the learning process, our scheme uses a hybrid method with forwarding and replication according to traffic pattern. The DRSS algorithm explores the possible strategies, and then exploits the knowledge obtained to adapt its strategy and achieve the desired overall objective when considering the stochastic non-cooperative game in on-line multi-commodity routing situations. The simulation results of a vehicular DTN with predetermined mobility model show DRSS achieves good energy efficiency with learning ability, which can guarantee the delivery ratio within the delay bound.     

Efficient and adaptive congestion control for heterogeneous delay-tolerant networks

Detecting and dealing with congestion in delay-tolerant networks (DTNs) is an important and challenging problem. Current DTN forwarding algorithms typically direct traffic towards more central nodes in order to maximise delivery ratios and minimise delays, but as traffic demands increase these nodes may become saturated and unusable. We propose CafRep, an adaptive congestion aware protocol that detects and reacts to congested nodes and congested parts of the network by using implicit hybrid contact and resources congestion heuristics. CafRep exploits localised relative utility based approach to offload the traffic from more to less congested parts of the network, and to replicate at adaptively lower rate in different parts of the network with non-uniform congestion levels. We extensively evaluate our work against benchmark and competitive protocols across a range of metrics over three real connectivity and GPS traces such as Sassy [44], San Francisco Cabs [45] and Infocom 2006 [33]. We show that CafRep performs well, independent of network connectivity and mobility patterns, and consistently outperforms the state-of-the-art DTN forwarding algorithms in the face of increasing rates of congestion. CafRep maintains higher availability and success ratios while keeping low delays, packet loss rates and delivery cost. We test CafRep in the presence of two application scenarios, with fixed rate traffic and with real world Facebook application traffic demands, showing that regardless of the type of traffic CafRep aims to deliver, it reduces congestion and improves forwarding performance.     

基于稳定闭域的异构无线网络混合路由策略

分析了异构的网络模型,并提出了一种基于MANET稳定闭域的混合路由策略,使得基于该路由策略设计的路由协议能够实时地根据本地拓扑状态进行转换,在稳定闭域内使用AODV提高路由转发的效率。当数据分组转发到闭域边界后,将转换为改进的Prophet路由继续在非连通区域内寻路,以充分利用MANET与DTN路由的优势。仿真实验证明了该路由策略的可行性,通过比较多种路由算法验证了在特定的异构网络环境下该路由策略的高效性。     

基于预期延迟值的扩散转发路由算法

针对现有延迟容忍网络路由算法在消息传递过程中分发不灵活的问题,提出基于节点通话历史记录计算预期通断时长以及消息传递延迟值,并根据结果选择节点、分配副本数进行消息转发的路由算法（MDESF）。在算法不同阶段,根据节点的活跃度选择中继节点,再分配传递消息的副本数目,加快分发,降低延迟。同时为保证消息及时传递,在单副本阶段选择最优节点转发。本算法同时提出内存管理策略,提高消息转发成功率。仿真实验表明,该算法相对其他同类算法在投递率、交付时延和网络拥塞比率方面综合表现更优。     

An optimized trusted‐cluster–based routing in disruption‐tolerant network using experiential learning model

Disruption‐tolerant network (DTN) implementation is subject to many routing constraints like limited knowledge of the network and intermittent connections with no end‐to‐end path existence. In this paper, the researchers propose trusted‐cluster–based routing protocol (TCR) for routing in DTN. TCR uses the experiential learning model that integrates neural network‐based bipolar sigmoid activation function to form trusted‐cluster DTN. TCR works in two phases: firstly to form a trusted‐cluster and secondly to identify cluster heads to direct network traffic through them. After the formation of the trusted‐cluster, a cluster head is chosen for a set period, thus instigating stability in the network. These trust values are attached to the node's route cache to make competitive routing decisions by relaying a message to the other trusted intermediate nodes only. With negative trust value, any node is deprived of participation in the network. This way, TCR eliminates malicious or selfish nodes to participate in the DTN network and minimizes the number of messages forwarded in a densely populated DTN. Also, this implementation conserves sufficient buffer memory to reach the destined node. The TCR's performance with other DTN routing schemes, namely, epidemic and trust‐based routing, is compared using multiple simulations runs. The proposed work is verified using mobility traces from Community Resource for Archiving Wireless Data At Dartmouth, and the experimental result shows the elimination of selfish nodes participating in the DTN. The simulation result shows an increase of 19% in message delivery by forwarding only to a trusted intermediate node possible.     

Multi-Path TCP: A Joint Congestion Control and Routing Scheme to Exploit Path Diversity in the Internet

We consider the problem of congestion-aware multi-path routing in the Internet. Currently, Internet routing protocols select only a single path between a source and a destination. However, due to many policy routing decisions, single-path routing may limit the achievable throughput. In this paper, we envision a scenario where multi-path routing is enabled in the Internet to take advantage of path diversity. Using minimal congestion feedback signals from the routers, we present a class of algorithms that can be implemented at the sources to stably and optimally split the flow between each source-destination pair. We then show that the connection-level throughput region of such multi-path routing/congestion control algorithms can be larger than that of a single-path congestion control scheme     

A link contact duration-based routing protocol in delay-tolerant networks

Delay Tolerant Networks (DTNs) provide message delivery services to users via intermittently connected nodes. In DTNs, routing is one of the most challenging issues since end-to-end connectivity between nodes may not be available most of the time. Although many routing protocols for DTNs have been proposed, they do not achieve satisfactory performance, since they exploit only some of the network characteristics. In this paper, we present a new DTN routing protocol, called the Link Contact Duration-based Routing Protocol (LCD). Like existing protocols, LCD uses the disconnect duration of a link between two nodes to find the routing path with the shortest end-to-end delay. In addition, LCD uses the contact duration of a link and the number of buffered messages to deliver as many messages as possible in a short time. Our simulation results show that LCD has better performance than existing DTN routing protocols.     

运动网络使用DTN技术的分析与研究

针对在一个由多种移动节点组成的运动网络中拓扑结构、链路质量和拥塞情况等随时间快速变化的问题,分析了DTN网络模型的特点与应用方法,集中讨论了运动网络中路由方式的选择和协议扩散机制的建立;针对保管转发技术完善了捆绑层协议构架,提出了分层的分布式数据存储转发技术进行各类数据的安全存储和转发,该技术能够应用于深空探测、应急最低通信和运动节电通信等网络工程之中。     

面向混合DTN网络的新型传输架构 CAF

Delay-Tolerant Networks ( DTNs ) are wireless networks that often experience temporary, even long-duration partitioning. Current DTN researches mainly focus on pure delay-tolerant networks that are extreme environments within a limited application scope. It motivates the identification of a more reasonable and valuable DTN architecture, which can be applied in a wider range of environments to achieve interoperability between some networks suffering from frequent network partitioning, and other networks provided with stable and high speed Internet access. Such hybrid delay-tolerant networks have a lot of applications in real world. A novel and practical Cache-Assign-Forward (CAF) architecture is proposed as an appropriate approach to tie together such hybrid networks to achieve an efficient and flexible data communication. Based on CAF, we enhance the existing DTN routing protocols and apply them to complex hybrid delay-tolerant networks. Simulations show that CAF can improve DTN routing performance significantly in hybrid DTN environments.     

Using metro-on-chip in physical design flow for congestion and routability improvement

Routability, signal integrity and manufacturability are important issues in physical design and congestion reduction is a widely used method for ameliorating these problems in current design methodologies. Besides, routing congestion may create large delays in detoured global wires that can be avoided by congestion reduction. In recent years, asynchronous serial transceivers are proposed for data transmission in network-on-chip systems to improve the performance of global wires. However the asynchronous transceivers have not been used for reducing the congestion and improving the routability in the physical design flow.In this paper, a new methodology is presented in which regular nets are multiplexed by asynchronous serial transceivers in the physical design flow in order to improve routing congestion and design routability. Experimental results show that for attempted benchmarks, the congestion is reduced by 18.97%, the routability is increased by 21.57% on average and total wirelength is decreased up to 9.05%. However, the overhead in power consumption and computation time are 0.12% and 10.01%, respectively, on average.     

Dynamic wavelength routing using congestion and neighborhoodinformation

We present two dynamic routing algorithms based on path and neighborhood link congestion in all-optical networks. In such networks, a connection request encounters higher blocking probability than in circuit-switched networks because of the wavelength-continuity constraint. Much research has focused on the shortest-path routing and alternate shortest-path routing. We consider fixed-paths least-congestion (FPLC) routing in which the shortest path may not be preferred to use. We then extend the algorithm to develop a new routing method: dynamic routing using neighborhood information. It is shown by using both analysis and simulation methods that FPLC routing with the first-fit wavelength-assignment method performs much better than the alternate routing method in mesh-torus networks (regular topology) and in the NSFnet T1 backbone network (irregular topology). Routing using neighborhood information also achieves good performance when compared to alternate shortest-path routing