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Compressive Sensing Node Localization Method Using Autonomous Underwater Vehicle Network
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AI
DOI：10.1007/s11277-022-09841-5.png)
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摘要
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Autonomous underwater vehicle networks is a significant resource for aquatic life maintenance and monitoring underwater pollution. It is necessary to study the underwater localization algorithms which self-localize themselves. The proposed work concentrates only on the range-free localization model with a goal is to use only very few sensing nodes in the network with low cost and high battery power to self-localize themselves. Few beacon nodes have been used to localize the sensor nodes in the definite position of the network. Compressive sensing theory based on hop count information for localizing the sensor nodes has also been used for localization. This research aims to collect the connectivity information of all the nodes in the network with compressive sensing theory and improve the localization accuracy. The analysis presents that the proposed method works well with location accuracy. Compressive Sensing Node Localization reduces cost and enhances sensors' energy efficiency compared to other underwater localization algorithms.
Keyword:
Acoustic sensor networks
Compressive sensing theory
Hop count
Localization
Probability
Range-free
期刊
IF:
2.2
论文数:
742
被引数:
1.2W
机构
引用论文
A Node Self-Localization Algorithm With a Mobile Anchor Node in Underwater Acoustic Sensor Networks基于移动锚节点的水声传感器网络节点自定位算法.png)
IEEE ACCESS
OAAI
IEEE ACCESSIF3.6
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