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Managing cohort movement of mobile sensors via GPS-free and compass-free node localization

机译:通过无GPS和无指南针的节点定位管理移动传感器的同类移动

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A critical problem in mobile ad hoc wireless sensor networks is each node's awareness of its position relative to the network. This problem is known as localization. In this paper, we introduce a variant of this problem, directional localization, where each node must be aware of both its position and orientation relative to its neighbors. Directional localization is relevant for applications that require uniform area coverage and coherent movement. Using global positioning systems for localization in large scale sensor networks may be impractical in enclosed spaces, and might not be cost effective. In addition, a set of preexisting anchors with globally known positions may not always be available. In this context, we propose two distributed algorithms based on directional localization that facilitate the collaborative movement of nodes in a sensor network without the need for global positioning systems, seed nodes or a preexisting infrastructure such as anchors with known positions. Our first algorithm, GPS-free Directed Localization (GDL) assumes the availability of a simple digital compass on each sensor node. We relax this requirement in our second algorithm termed GPS- and Compass-free Directed Localization (GCDL). Through experimentation, we demonstrate that our algorithms scale well for large numbers of nodes and provide convergent localization over time, despite errors introduced by motion actuators and distance measurements. In addition, we introduce mechanisms to preserve swarm formation during directed sensor network mobility. Our simulations confirm that, in a number of realistic scenarios, our algorithms provide for a mobile sensor network that preserves its formation over time, irrespective of speed and distance traveled. We also present our method to organize the sensor nodes in a polygonal geometric shape of our choice even in noisy environments, and investigate the possible uses of this approach in search-and-rescue type of missions.
机译:移动自组织无线传感器网络中的一个关键问题是每个节点相对于网络位置的意识。此问题称为本地化。在本文中,我们介绍了此问题的一个变体,即定向本地化,其中每个节点都必须了解其相对于邻居的位置和方向。定向定位与需要均匀区域覆盖和一致移动的应用有关。在封闭的空间中使用全球定位系统进行大规模传感器网络的定位可能不切实际,并且可能并不划算。此外,具有全球已知位置的一组预先存在的锚可能并不总是可用。在这种情况下,我们提出了两种基于方向定位的分布式算法,这些算法可促进传感器网络中节点的协同移动,而无需全球定位系统,种子节点或诸如已知位置的锚点之类的现有基础结构。我们的第一个算法是无GPS定向定位(GDL),它假定每个传感器节点上都可以使用简单的数字罗盘。我们在称为GPS和无指南针的定向定位(GCDL)的第二种算法中放宽了这一要求。通过实验,我们证明了尽管运动执行器和距离测量引入了误差,但我们的算法可以很好地扩展到大量节点,并且可以随时间提供收敛的定位。此外,我们介绍了在定向传感器网络移动过程中保留群形成的机制。我们的仿真证实,在许多现实情况下,我们的算法都提供了一种移动传感器网络,该网络可以随着时间的推移保留其形成,而与速度和行驶距离无关。我们还提出了一种将传感器节点组织成我们选择的多边形几何形状(即使在嘈杂的环境中)的方法,并研究了这种方法在搜索和救援类型任务中的可能用途。

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