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Flow Allocation for Maximum Throughput and Bounded Delay on Multiple Disjoint Paths for Random Access Wireless Multihop Networks

机译:随机接入无线多跳网络中多个不相交路径上的最大吞吐量和有界延迟的流量分配

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In this paper, we consider random-access wireless multihop networks, with multipacket reception capabilities, where multiple flows are forwarded to the gateways through node disjoint paths. We explore the issue of allocating flow on multiple paths, exhibiting both intra- and interpath interference, in order to maximize average aggregate flow throughput (AAT) and provide bounded packet delay. A distributed flow allocation scheme is proposed where allocation of flow on paths is formulated as an optimization problem. Through an illustrative topology, it is shown that the corresponding problem is nonconvex. Furthermore, a simple but accurate model is employed for the AAT achieved by all flows, which captures both intra- and interpath interference through the signal-to-interference-plus-noise ratio (SINR) model. The proposed scheme is evaluated through Ns2 simulations of several random wireless scenarios. Simulation results reveal that the model employed accurately captures the AAT observed in the simulated scenarios, even when the assumption of saturated queues is removed. Simulation results also show that the proposed scheme achieves significantly higher AAT for the vast majority of the wireless scenarios explored than for the following flow allocation schemes: one that assigns flows on paths on a round-robin fashion, one that optimally utilizes the best path (BP) only, and another one that assigns the maximum possible flow on each path. Finally, a variant of the proposed scheme is explored, where interference for each link is approximated by considering its dominant interfering nodes only.
机译:在本文中,我们考虑具有多数据包接收功能的随机访问无线多跳网络,其中多个流通过节点不相交的路径转发到网关。我们探索在多个路径上分配流量的问题,同时显示路径内和路径间干扰,以最大程度地提高平均聚合流吞吐量(AAT)并提供有限制的数据包延迟。提出了一种分布式流分配方案,其中将路径上的流分配公式化为优化问题。通过说明性的拓扑,表明相应的问题是非凸的。此外,对所有流量实现的AAT采用简单但准确的模型,该模型通过信号与干扰加噪声比(SINR)模型捕获路径内和路径间干扰。通过对几种随机无线场景的Ns2仿真来评估所提出的方案。仿真结果表明,即使删除了饱和队列的假设,所采用的模型也可以准确捕获在模拟场景中观察到的AAT。仿真结果还显示,与以下流分配方案相比,在探索的绝大多数无线场景中,该方案均实现了更高的AAT:一种以循环方式在路径上分配流,一种以最佳方式利用最佳路径(仅BP),另一个在每个路径上分配最大可能流量。最后,探索了所提出方案的变体,其中仅通过考虑其主要干扰节点来近似每个链路的干扰。

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