Localization for Large-Scale Underwater Sensor Networks
Localization for Large-Scale Underwater Sensor Networks
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DOI：
10.1007/978-3-540-72606-7_10
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发表时间：
2007-05
影响因子：
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通讯作者：
R. Zhou;Jun-hong Cui;Shengli Zhou
中科院分区：
文献类型：
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作者：
R. Zhou;Jun-hong Cui;Shengli Zhou
本文研究了大规模水下传感器网络中的定位问题。不利的水环境、节点的移动性和庞大的网络规模都对当前大多数定位方案提出了新的挑战。我们提出了一种分层方法，将整个定位过程分为两个子过程：锚节点定位和普通节点定位。许多现有技术可用于前者。对于普通节点的定位过程，我们提出了一种新颖的将三维欧几里得距离估计方法与递归位置估计方法相结合的分布式定位方案。仿真结果表明，在大规模三维水下传感器网络中，该方法能够以相对较小的定位误差和较低的通信开销实现较高的定位覆盖率。
In this paper, we study the localization problem in large-scale underwater sensor networks. The adverse aqueous environments, the node mobility, and the large network scale all pose new challenges, and most current localization schemes are not applicable. We propose a hierarchical approach which divides the whole localization process into two sub-processes: anchor node localization and ordinary node localization. Many existing techniques can be used in the former. For the ordinary node localization process, we propose a distributed localization scheme which novelly integrates a 3-dimensional Euclidean distance estimation method with a recursive location estimation method. Simulation results show that our proposed solution can achieve high localization coverage with relatively small localization error and low communication overhead in large-scale 3-dimensional underwater sensor networks.