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A Graph Localization Approach for Underwater Sensor Networks to Assist a Diver in Distress

机译:水下传感器网络辅助静脉患者的图定位方法

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摘要

In this paper, we focus on the problem of locating a scuba diver in distress using a sensor network. Without GPS reception, submerged divers in distress will transmit SOS messages using underwater acoustic communication. The study goal is to enable the quick and reliable location of a diver in distress by his fellow scuba divers. To this purpose, we propose a distributed scheme that relies on the propagation delay information of these acoustic SOS messages in the scuba divers’ network to yield a range and bearing evaluation to the diver in distress by any neighboring diver. We formalize the task as a non-convex, multi-objective graph localization constraint optimization problem. The solution finds the best configuration of the nodes’ graph under constraints in the form of upper and lower bounds derived from the inter-connections between the graph nodes/divers. Considering the need to rapidly propagate the SOS information, we flood the network with the SOS packet, while also using rateless coding to leverage information from colliding packets, and to utilize time instances when collisions occur for propagation delay evaluation. Numerical results show a localization accuracy on the order of a few meters, which contributes to quickly locating the diver in distress. Similar results were demonstrated in a controlled experiment in a water tank, and by playback data from a sea experiment for five network topologies.
机译:在本文中,我们专注于使用传感器网络定位遇险中的水肺潜水员的问题。如果没有GPS接收,遇险中的潜水员将使用水下声学通信传输SOS消息。这项研究目标是通过他的潜水员陷入困境的潜水员的快速可靠的位置。为此目的,我们提出了一种分布式方案,依赖于潜水潜水员网络中这些声学SOS消息的传播延迟信息,以产生任何相邻潜水员对患有危机的潜水员的范围和致力。我们将任务正式化为非凸多目标图定位约束优化问题。该解决方案在从图形节点/潜水区之间的互连衍生的上限和下限形式下的节点图的最佳配置。考虑到需要快速传播SOS信息,我们将网络与SOS数据包泛洪,同时也使用不多不可取的编码来利用碰撞数据包的信息,并在发生冲突时利用时间实例进行传播延迟评估。数值结果显示了大约几米的定位精度,这有助于快速定位遇险的潜水员。在水箱中的受控实验中证明了类似的结果,以及来自海拔五个网络拓扑的海洋实验的播放数据。

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