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Swarm intelligence methods for mobile ad hoc networks.

机译:移动自组织网络的群智能方法。

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Mobile ad hoc networks (MANET) consist of mobile nodes that autonomously establish connectivity with each other via multihop wireless communications. Swarm intelligence (SI) refers to complex behaviors that emerge from simple individual behaviors and interactions, and is often observed among social insects such as ants and honeybees.; This dissertation addresses three different problems in mobile ad hoc networks by applying the metaphor of swarm intelligence. Specifically, we address the problem of unicast routing, multicast packet delivery, and P2P systems in MANET. Applying SI techniques allows us to converge to good solutions quickly and adapt to the dynamic nature of MANETs without needing global information or centralized control.; Our unicast routing protocol, ANSI, is a hybrid protocol which works over networks with both pure MANET nodes and infrastructure nodes (hybrid networks). We show, using simulation studies, that ANSI exhibits better or comparable performance when compared to AODV under a variety of conditions in a number of scenarios, both for UDP and TCP traffic. ANSI also responds faster to link breakages and shows better utilization of the MAC layer by expending lesser network overheads per packet delivered. The performance and characteristics of ANSI also motivates the use of TCP as a legitimate evaluation tool for studying the behavior of MANET unicast routing protocols. Simulation studies show that TCP reveals properties of routing protocols which are not understood when using UDP traffic, and points to the different behavior of MANET routing protocols under different scenarios.; Our approach to packet recovery for multicast protocols, PIDIS, allows multicast routing protocols to recover lost packets without membership information and is persistent with packet recovery, while striking a balance between the variability of packet delivery and the aggressiveness of packet recovery. PIDIS maintains information about the next hops which help recover lost packets rather than maintain information about members which help recover lost packets, making the process less sensitive to topological fluctuation. Using simulation studies, we show that PIDIS shows better performance than a competing protocol by taking a different approach to gossip-based packet recovery.; Our approach to peer-to-peer (P2P) systems over MANET, BTM, adapts the BitTorrent framework to MANET by introducing features of decentralized behavior, redundant services, and cross-layer interactions. In our simulations, BTM performs better in the MANET context as compared to a straightforward implementation of BitTorrent in MANET. We attribute the favorable observations of BTM to its decentralized, resource-redundant characteristics, which, when interacting with a congestion-aware routing protocol such as ANSI, improves TCP performance, and is able to provide an appropriate medium for content distribution in MANET.
机译:移动自组织网络(MANET)由移动节点组成,这些节点通过多跳无线通信相互之间自动建立连接。群智能(SI)是指由简单的个人行为和互动产生的复杂行为,通常在蚂蚁和蜜蜂等社交昆虫中观察到。本文通过应用群体智能的隐喻解决了移动自组网中的三个不同问题。具体来说,我们解决了MANET中的单播路由,多播数据包传递和P2P系统的问题。应用SI技术可以使我们迅速收敛到好的解决方案,并适应MANET的动态特性,而无需全局信息或集中控制。我们的单播路由协议ANSI是一种混合协议,可在具有纯MANET节点和基础结构节点(混合网络)的网络上工作。我们通过仿真研究表明,在多种情况下,对于UDP和TCP流量,在各种情况下,与AODV相比,ANSI表现出更好或相当的性能。 ANSI还通过减少每个传输数据包的网络开销来更快地响应链路中断,并显示出对MAC层的更好利用。 ANSI的性能和特性也促使使用TCP作为研究MANET单播路由协议行为的合法评估工具。仿真研究表明,TCP揭示了使用UDP流量时无法理解的路由协议的属性,并指出了在不同情况下MANET路由协议的不同行为。我们针对多播协议的数据包恢复方法PIDIS允许多播路由协议在没有成员资格信息的情况下恢复丢失的数据包,并在数据包恢复过程中保持持久性,同时在数据包传递的可变性和数据包恢复的积极性之间取得平衡。 PIDIS维护有关有助于恢复丢失数据包的下一跳的信息,而不是维护有关有助于恢复丢失数据包的成员的信息,从而使该过程对拓扑波动的敏感性降低。通过仿真研究,我们发现PIDIS通过采用另一种基于八卦的数据包恢复方法,比竞争协议具有更好的性能。我们通过BNET在MANET上对等(P2P)系统的方法通过引入分散行为,冗余服务和跨层交互的功能使BitTorrent框架适应MANET。在我们的模拟中,与在MANET中直接实现BitTorrent相比,BTM在MANET上下文中表现更好。我们将BTM的有利观察归因于其分散的资源冗余特性,当与诸如ANSI之类的具有拥塞意识的路由协议进行交互时,BTM可以提高TCP性能,并能够为MANET中的内容分发提供适当的媒介。

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