Geodetic position estimation of underwater acoustic sensors

1997 ◽  
Vol 102 (5) ◽  
pp. 3099-3100 ◽  
Author(s):  
Harold T. Vincent ◽  
Sau‐Lon James Hu
Keyword(s):  
Position Estimation ◽  
Acoustic Sensors ◽  
Underwater Acoustic

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

2018 ◽  
Vol 141 ◽  
pp. 179-188 ◽  
Author(s):  
Zhuo Wang ◽  
Xiaoning Feng ◽  
Guangjie Han ◽  
Yancheng Sui ◽  
Hongde Qin
Keyword(s):  
Three Dimensional ◽  
Acoustic Sensors ◽  
Underwater Acoustic ◽  
Localization Method

Underwater Acoustic Sensors Data Collection in the Robotic Vessels as-a-Service Project

2019 ◽  
Author(s):  
Alberto Signori ◽  
Filippo Campagnaro ◽  
Davide Zordan ◽  
Federico Favaro ◽  
Michele Zorzi
Keyword(s):  
Data Collection ◽  
Acoustic Sensors ◽  
Underwater Acoustic ◽  
Service Project

Advancement in range based scheme for node localization of underwater acoustic networks

2018 ◽  
Vol 7 (2.27) ◽  
pp. 122
Author(s):  
Vinayak Khajuria ◽  
Manjot Kaur
Keyword(s):  
Deep Sea ◽  
Sensor Node ◽  
Position Estimation ◽  
Sensor Nodes ◽  
Node Localization ◽  
Underwater Acoustic ◽  
Reply Message ◽  
Acoustic Networks ◽  
Underwater Acoustic Network ◽  
Node Position

The underwater acoustic network is the type of network which is deployed under the deep sea or ocean to gather underwater information. The sensor node position estimation is a major issue of the underwater acoustic network. The process of estimating node position is called node localization. In the existing RSSI based approach for the node localization has a high delay which reduces its efficiency. The technique needs to be designed which localize a number of nodes in less amount of time. This research is based on the advancement of the range-based scheme for node localization. In the proposed scheme mobile beacons are responsible for the node localization. The beacon nodes send beacon message in the network and sensor nodes respond back with a reply message. When two beacons receive the reply of a sensor node that is considered as a localized node. The sensor nodes which are already localized will not respond back to the beacon messages which reduce delay in the network for node localization. The simulation of proposed modal is performed in MATLAB and it shows that proposed scheme performs well in terms of a number of nodes localized.  

Experiment Research on Array Grouped by MEMS Vector Hydrophone

2014 ◽  
Vol 609-610 ◽  
pp. 927-931
Author(s):  
Meng Ran Liu ◽  
Ze Ming Jian ◽  
Hong Liu ◽  
Xiao Peng Song ◽  
Guo Jun Zhang
Keyword(s):  
Doa Estimation ◽  
Acoustic Sensors ◽  
Experiment Research ◽  
A Algorithm ◽  
Underwater Acoustic ◽  
Estimation Performance ◽  
Vector Hydrophone ◽  
New Type

As a new type of underwater acoustic sensors,the principle of the MEMS hydrophone is introduced in this paper.MUSIC is a algorithm for estimating the parameter of the signal and it has a high resolution.In order to verify DOA estimation performance of MEMS vector array,experiment has been done.the experiments results showed that the MEMS vector array can achieve DOA estimation and track the underwater moving target.thus,it is concluded the feasibility of the MEMS vector array.

scholarly journals Design and Implement Beacon based scheme for Node Localization in Underwater Acoustic Network

2020 ◽  
Vol 20 ◽  
pp. 53-64
Author(s):  
Puneetpal Kaur ◽  
Mohit Marwaha ◽  
Baljinder Singh
Keyword(s):  
Sensor Node ◽  
Base Station ◽  
Position Estimation ◽  
Sensor Nodes ◽  
Node Localization ◽  
Underwater Acoustic ◽  
Aggregate Information ◽  
Underwater Acoustic Network ◽  
Node Location ◽  
Node Position

A network that can sense the surroundings and collected all the information from the sensor nodes and passed it to the base station is known as a wireless sensor network. The underwater acoustic networks are the type of network deployed under the oceans and passed information to the base station.  Due to the dynamic nature of the network, nodes change their location at any time. To maximum aggregate information from the sensor nodes, to estimate exact node location is very important. The sensor node position estimation is a major issue of the underwater acoustic network.  The process of estimating node position is called node localization. In the existing RSSI based approach for the node, localization has a high delay, which reduces its efficiency. The technique needs to be designed, which localizes more nodes in less amount of time. This research is based on the advancement of the range based scheme for node localization. In the proposed scheme, mobile beacons are responsible for node localization. The beacon nodes send beacon messages in the network, and sensor nodes respond back with a reply message. When two beacons receive the reply of a sensor node that is considered as a localized node, the sensor nodes which are already localized will not respond back to the beacon messages, which reduce delay in the network for node localization.

Underwater acoustic sensors based on fiber Bragg gratings

2009 ◽  
Author(s):  
A. Cusano ◽  
M. Pisco ◽  
G. Parente ◽  
G. Lanza ◽  
A. Laudati ◽  
...  
Keyword(s):  
Fiber Bragg Gratings ◽  
Bragg Gratings ◽  
Acoustic Sensors ◽  
Underwater Acoustic
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