Distributed estimation of sensors position in underwater wireless sensor network

Zandi, Rahman; Kamarei, Mahmoud; Amiri, Hadi

doi:10.1080/00207217.2015.1072849

Cited by 5 publications

(4 citation statements)

References 21 publications

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“…Thus, we introduce some papers that are asynchronous based on a range-free scheme. In [ 39 , 40 ], the range-free scheme employs an AUV to periodically broadcast a message block via four directional acoustic beams. Both AUV position and a directional dependent marker are contained in the message block.…”

Section: Localization Algorithmmentioning

confidence: 99%

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Research on Localization Algorithms Based on Acoustic Communication for Underwater Sensor Networks

Luo

Fan

et al. 2018

Sensors

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The water source, as a significant body of the earth, with a high value, serves as a hot topic to study Underwater Sensor Networks (UWSNs). Various applications can be realized based on UWSNs. Our paper mainly concentrates on the localization algorithms based on the acoustic communication for UWSNs. An in-depth survey of localization algorithms is provided for UWSNs. We first introduce the acoustic communication, network architecture, and routing technique in UWSNs. The localization algorithms are classified into five aspects, namely, computation algorithm, spatial coverage, range measurement, the state of the nodes and communication between nodes that are different from all other survey papers. Moreover, we collect a lot of pioneering papers, and a comprehensive comparison is made. In addition, some challenges and open issues are raised in our paper.

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Section: Localization Algorithmmentioning

confidence: 99%

“… System architecture contains sensor nodes and a mobile AUV equipped with four directional beams [ 39 , 40 ]. …”

Section: Figurementioning

confidence: 99%

Research on Localization Algorithms Based on Acoustic Communication for Underwater Sensor Networks

Luo

Fan

et al. 2018

Sensors

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“…As for the synchronization-free positioning scheme, we introduce three papers to show it. In [ 23 , 24 ], a range-free scheme using AUV periodically broadcasts message blocks via four directional beams to estimate the location information of sensor nodes. The node receives the message block and uses two different continuous beams to estimate the position of the AUV at two different moments.…”

Section: Related Workmentioning

confidence: 99%

A Two-Phase Time Synchronization-Free Localization Algorithm for Underwater Sensor Networks

Luo

Fan

2017

Sensors

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Underwater Sensor Networks (UWSNs) can enable a broad range of applications such as resource monitoring, disaster prevention, and navigation-assistance. Sensor nodes location in UWSNs is an especially relevant topic. Global Positioning System (GPS) information is not suitable for use in UWSNs because of the underwater propagation problems. Hence, some localization algorithms based on the precise time synchronization between sensor nodes that have been proposed for UWSNs are not feasible. In this paper, we propose a localization algorithm called Two-Phase Time Synchronization-Free Localization Algorithm (TP-TSFLA). TP-TSFLA contains two phases, namely, range-based estimation phase and range-free evaluation phase. In the first phase, we address a time synchronization-free localization scheme based on the Particle Swarm Optimization (PSO) algorithm to obtain the coordinates of the unknown sensor nodes. In the second phase, we propose a Circle-based Range-Free Localization Algorithm (CRFLA) to locate the unlocalized sensor nodes which cannot obtain the location information through the first phase. In the second phase, sensor nodes which are localized in the first phase act as the new anchor nodes to help realize localization. Hence, in this algorithm, we use a small number of mobile beacons to help obtain the location information without any other anchor nodes. Besides, to improve the precision of the range-free method, an extension of CRFLA achieved by designing a coordinate adjustment scheme is updated. The simulation results show that TP-TSFLA can achieve a relative high localization ratio without time synchronization.

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“…With the increase in the distance of AUV voyages (Bellingham et al, 2010) and advancements of Underwater Wireless Sensor Networks (UWSNs) (Zandi et al, 2015), a new mode of thinking has been created regarding underwater terrain surveying and mapping. As shown in Figure 1, at point 1, an AUV obtains its absolute location through Underwater Acoustic Communication (UAC) with sensor nodes (sensor nodes are more like a Long Baseline (LBL) positioning system attached to the seafloor, allowing the AUV to obtain its positioning with high precision) when the AUV is within communication range.…”

Section: Introductionmentioning

confidence: 99%

Terrain Correlation Correction Method for AUV Seabed Terrain Mapping

Wang

Chen

et al. 2017

J. Navigation

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A method is proposed for improving the accuracy and self-consistency of bathymetric maps built using an Autonomous Underwater Vehicle (AUV) to create precise prior maps for Terrain-Aided Navigation (TAN), when the Global Positioning System (GPS) or another precise location method is unavailable. This method consists of front-end and back-end. For the front-end, the AUV predicts the measurement of the bathymetry system through Terrain Elevation Measurement Extrapolation Estimation (TEMEE) and calculates the likelihood function using real measurements. After the final Inertial Navigation System (INS) error is obtained by communicating with sensor nodes, the process enters the back-end. A Terrain Correlation Correction Method (TCCM) and an Improved Terrain Correlation Correction Method (ITCCM) are proposed to solve the gradual distribution of the final INS error to each point on a path, and the accuracy of ITCCM was confirmed experimentally. Finally, a TAN simulation experiment was conducted to prove the importance and necessity of map correction using ITCCM. ITCCM was proven to be an effective and important method for correcting maps built using an AUV.

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Distributed estimation of sensors position in underwater wireless sensor network

Cited by 5 publications

References 21 publications

Research on Localization Algorithms Based on Acoustic Communication for Underwater Sensor Networks

Research on Localization Algorithms Based on Acoustic Communication for Underwater Sensor Networks

A Two-Phase Time Synchronization-Free Localization Algorithm for Underwater Sensor Networks

Terrain Correlation Correction Method for AUV Seabed Terrain Mapping

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