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Energy-Efficient Ranging for Post-Facto Self-Localization in Mobile Underwater Networks

机译:移动水下网络中事后自动定位的节能测距

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摘要

Many ocean processes, both biological and physical, greatly depend on and interact with the intrinsic current dynamics of the underwater environment. A promising approach to understand small and large scale spatio-temporal correlations of these processes is to deploy a networked swarm of drifters that float freely with ocean currents. They form a coordinated distributed sampling system that observes ocean processes within their own moving frame of reference. As data interpretation is impossible without knowledge of sampling positions, a method is required to localize the drifters. Furthermore, the localization has to be repeated periodically as the network topology changes due to the inherent motion of the vehicles. This paper proposes a novel energy-aware, distributed solution based on inter-drifter range measurements. It leverages the realization that actual position estimation can be performed after the mission is over. The proposed broadcast-based solution achieves sufficient localization accuracy with an extremely low overhead: around 0.5 transmissions per node per localization.
机译:许多海洋过程,无论是生物过程还是物理过程,都极大地依赖于水下环境的内在动力并与其相互作用。理解这些过程的时空相关性的一种有前途的方法是部署一个随海流自由漂浮的网络化的漂流者群。它们形成了一个协调的分布式采样系统,可以在自己的移动参考框架内观测海洋过程。由于在不了解采样位置的情况下无法进行数据解释,因此需要一种方法来对漂移器进行定位。此外,当网络拓扑由于车辆的固有运动而改变时,必须周期性地重复定位。本文提出了一种基于分流器间距离测量的新型能量感知分布式解决方案。它充分利用了可以在任务结束后执行实际位置估计的认识。所提出的基于广播的解决方案以极低的开销实现了足够的定位精度:每个定位每个节点大约传输0.5次。

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