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首页> 外文会议>IEEE Middle East and North Africa Communications Conference >Utilization of Multi-Sink Architectures for Lifetime Maximization in Underwater Sensor Networks
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Utilization of Multi-Sink Architectures for Lifetime Maximization in Underwater Sensor Networks

机译：水下传感器网络中多水槽架构利用多水槽架构

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摘要

In a typical underwater sensor networks (USNs) application, sensor nodes convey their collected data from the underwater environment to the central sink node. Improperly positioned central sink node causes two problems. First, sensor nodes consume high energy for transmission if the central sink node is located far away from the nodes where the network lifetime can be negatively affected. Second, long transmission links occurred in such a deployment case causes a USN to have high end-to-end delays since acoustic waves are typical carriers used for USNs. These problems can be mitigated by using multi-sink architectures where sensor nodes transmit their collected data to the nearest sink node/nodes. In this work, we propose a mixed integer programming (MIP) model that maximizes USNs lifetime and we investigate the impact of utilizing multi-sink architectures on network lifetime, end-to-end delay, and node energy consumption as compared to utilizing single-sink architectures. We show that single-sink USNs have at most 51% lower lifetimes than multiple-sink USNs. Furthermore, multiple-sink USNs reduce end-to-end delay and node energy consumption of single-sink USNs by at most 51% and 42%, respectively.
机译：在典型的水下传感器网络（USNS）应用中，传感器节点将它们的收集数据从水下环境传送到中央汇总节点。不正确地定位的中央汇节点会导致两个问题。首先，如果中央宿节点远离网络生命周期可以受到负面影响的节点远离，传感器节点会消耗高能量以进行传输。其次，在这样的部署情况下发生的长传输链路使USn具有高端延迟，因为声波是用于USN的典型载波。通过使用传感器节点将其收集的数据发送到最近的汇聚节点/节点，可以减轻这些问题。在这项工作中，我们提出了一种混合整数编程（MIP）模型，可以最大限度地提高USNS寿命，并且我们研究了利用单一 - 利用单次 - 最终延迟和节点能量消耗的多水槽架构的影响水槽架构。我们展示单槽USNS比多次水槽USN的寿命最多51％。此外，多水槽USN分别将单载USN的端到端延迟和节点能量消耗分别为最多51％和42％。

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