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EODL: Energy Optimized Distributed Localization Method in three-dimensional underwater acoustic sensors networks

机译:EODL:三维水下声传感器网络中的能量优化分布式定位方法

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摘要

The localization represents one of the most important aspects of underwater acoustic sensor networks, offering three-dimensional monitoring of marine environment, military detection and attack missions. This paper proposes the Energy Optimized Distributed Localization Method (EODL) as an efficient technique for the distributed sensor network localization based on the mobile beacon water. This technique employs an Autonomous Underwater Vehicle (AUV) as the mobile beacon. The moving path of the AUV in the three-dimensional water environment and the time interval of the broadcast transmitting are found by applying a qualitative analysis of the superiority of the rectangular path. In such a technique, the unknown sensor node position is calculated by monitoring beacon signals without requiring time synchronization between nodes. We consider the innermost intersection body for the localization process, to calculate the geometric intersection relation of different information signal ranges. Then, we calculate the location information of the nodes. Moreover, the localization error analysis of the method will be presented. We compare the simulation results of the proposed method (EODL) with the LDSN. In addition, the experimental results verify that the proposed method introduces less error and higher coverage rate comparing with the conventional methods. (C) 2018 Elsevier B.V. All rights reserved.
机译:本地化是水下声传感器网络最重要的方面之一,可对海洋环境,军事侦察和攻击任务进行三维监控。本文提出了一种能量优化的分布式定位方法(EODL),作为一种基于移动信标水的分布式传感器网络定位的有效技术。该技术采用自主水下航行器(AUV)作为移动信标。通过对矩形路径的优越性进行定性分析,可以找到AUV在三维水环境中的移动路径和广播发送的时间间隔。在这种技术中,未知传感器节点位置是通过监视信标信号来计算的,而无需节点之间的时间同步。我们在定位过程中考虑了最里面的相交体,以计算不同信息信号范围的几何相交关系。然后,我们计算节点的位置信息。此外,将介绍该方法的定位误差分析。我们将所提出的方法(EODL)与LDSN的仿真结果进行了比较。另外,实验结果证明,与传统方法相比,该方法引入的误差较小,覆盖率较高。 (C)2018 Elsevier B.V.保留所有权利。

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