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Throughput-Maximizing Transmission Schedules for Underwater Acoustic Multihop Grid Networks

机译:水下声学多跳网格网络的吞吐量最大化传输调度

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摘要

Many marine scientific, industrial, and military applications may require the deployment of underwater acoustic sensor networks for sensing and monitoring. A grid topology with multihop relaying is useful for wide area coverage as well as long distance data transmission. We investigate network architectures where data originate at one end of the grid, and are forwarded along multiple lines. We are particularly interested in transmission schedules that maximize network throughput by exploiting propagation delay to allow multiple simultaneous transmissions. We show that an optimal schedule is necessarily per-node fair, and derive the upper bound on throughput. Furthermore, we present a low-complexity algorithm to find schedules achieving the upper bound, regardless of the size of the network.
机译:许多海洋科学,工业和军事应用可能需要部署水下声传感器网络以进行感测和监视。具有多跳中继的网格拓扑结构对于广域覆盖以及长距离数据传输很有用。我们研究了数据源自网格一端并沿多条线转发的网络体系结构。我们对传输调度表特别感兴趣,该调度表通过利用传播延迟来允许多个同时传输来最大化网络吞吐量。我们表明,最佳调度必然对每个节点都是公平的,并得出吞吐量的上限。此外,我们提出了一种低复杂度的算法,以查找实现上限的计划,而与网络的大小无关。

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