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MobiL-AUV: AUV-Aided Localization Scheme for Underwater Wireless Sensor Networks

机译:MobiL-AUV:水下无线传感器网络的AUV辅助定位方案

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In this paper, we present the mobile autonomous underwater vehicle (AUV)-aided efficient localization scheme for underwater wireless sensor networks (UWSNs). Localization is one of the major issues in UWSNs as it is important in some large scale applications to know the accurate position of sensor nodes. It is more difficult to localize a node in underwater environment compared to terrestrial. The global positioning system (GPS) signals can not travel underwater, so in UWSNs the use of GPS service for localization is not feasible. The sensor nodes deployed in underwater network are greatly affected by water currents. Due to water currents the sensor nodes move freely. In order to find the accurate position of sensor nodes, we introduce an effective localization solution. An AUV-aided localization technique which helps to localize ordinary nodes with less localization error is introduced in this paper. Three mobile AUVs are introduced in proposed scheme, that act as a reference nodes. These mobile AUVs are deployed in underwater network at predefined depth. The mobile AUVs accelerate towards the surface to find their three dimensional coordinates with the help of GPS satellite and dive back to underwater network. These mobile nodes act as reference nodes and are responsible for the localization of ordinary unlocalized nodes. By exploiting spatial correlation, the ordinary nodes predict their mobility pattern. Mobile AUVs provide enough coverage to the underwater network, which results in efficient localization.
机译:在本文中,我们提出了用于水下无线传感器网络(UWSN)的移动自主水下航行器(AUV)辅助的高效定位方案。本地化是UWSN中的主要问题之一,因为在某些大规模应用中,了解传感器节点的准确位置非常重要。与地面相比,在水下环境中定位节点更加困难。全球定位系统(GPS)信号不能在水下传播,因此在UWSN中使用GPS服务进行定位是不可行的。部署在水下网络中的传感器节点受水流的影响很大。由于水流,传感器节点自由移动。为了找到传感器节点的准确位置,我们引入了一种有效的定位解决方案。本文介绍了一种AUV辅助定位技术,该方法有助于以较少的定位误差定位普通节点。在提出的方案中引入了三个移动式AUV,它们作为参考节点。这些移动式AUV在预先定义的深度部署在水下网络中。移动式AUV在GPS卫星的帮助下向水面加速以找到其三维坐标,然后潜回水下网络。这些移动节点充当参考节点,并负责普通未本地化节点的本地化。通过利用空间相关性,普通节点可以预测其移动性模式。移动式AUV可为水下网络提供足够的覆盖范围,从而实现高效的定位。

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