面向机载网络的容延迟移动感知路由/移动传播协议

Kevin C. Lee, Adam Piechowicz, M. Gerla, A. Tiwari, A. Ganguli, D. Krzysiak
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引用次数: 5

摘要

尽管“机载网络(AN)拓扑设计”和AN轨迹的仔细规划,意外中断(从硬件故障到任务要求的变化和敌对攻击)可能导致节点不能直接或间接地连接到另一个节点,因为它们超出了彼此的范围,或者因为节点没有根据其预先规划的轨迹相互满足。由于an内的端到端路径并不总是得到保证,因此必须以容忍延迟的方式传递数据包,也就是说,一些中间节点将需要在断开连接期间缓冲数据包。在我们早期的工作中,我们开发了移动感知路由协议和移动传播协议(MARP/MDP),它们使用预先规划的机载节点轨迹来先发制人地做出智能路由决策。本文提出了一种延迟容忍策略(MARP/MDP+DTN)来预测端到端最小延迟并获得相应的路径。此外,MARP/MDP+DTN考虑到本地排队(MARP/MDP+DTN+QC),以减少拥塞,进一步提高端到端延迟,并具有负载均衡的积极作用。仿真结果表明,MARP/MDP+DTN的分组传输速率提高了52%。在高度拥塞的网络中,MARP/MDP+DTN+QC也表现出极短的延迟,比MARP/MDP+DTN减少了约90%。在高流量负载场景下,MARP+DTN+QC比MARP+DTN分担率提高67%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Delay tolerant Mobility Aware Routing/Mobility Dissemination Protocol for the airborne network
Despite “airborne network (AN) topology design” and careful planning of AN trajectories, unexpected disruptions (from hardware failures to changes in mission requirements and hostile attacks) may cause nodes not to connect to one another directly or indirectly either because they are out of one another's range or because nodes do not meet one another according to their preplanned trajectories. Since an end-to-end path within the AN is not always guaranteed, packets have to be delivered in a delay-tolerant fashion, namely, some intermediate nodes will need to buffer packets during times of disconnectivity. In our earlier work we developed Mobility Aware Routing Protocol and Mobility Dissemination Protocol (MARP/MDP) that used preplanned trajectories of airborne nodes to make intelligent routing decisions preemptively. In this paper we present a delay-tolerant strategy (MARP/MDP+DTN) to predict the minimum end-to-end delay and obtain the corresponding path. In addition, MARP/MDP+DTN accounts for local queueing (MARP/MDP+DTN+QC) to minimize congestion and further improves end-to-end delay with the positive side effect of load-balancing. Simulation results have shown an improvement of 52% in packet delivery ratio in MARP/MDP+DTN. MARP/MDP+DTN+QC also exhibits extremely short latency, about 90% reduction from MARP/MDP+DTN in highly congested network. Moreover, MARP+DTN+QC balances local traffic 67% better than MARP+DTN in high traffic load scenarios.
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