A novel dual-hydrophone localization method in underwater sensor networks

Zhu, Sanfeng; Jin, Naigao; Wang, Lei; Zheng, Xiangwei; Yang, Shili; Zhu, Ming

doi:10.1109/coa.2016.7535787

Cited by 9 publications

(7 citation statements)

References 9 publications

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“…In [ 43 ], a Dual Hydrophone Localization (DHL) method converts the localization problem into half-plane intersection issues. In this scheme, the network consists of an acoustic source (S), some surface buoys and some dual-hydrophone nodes (shown in Figure 9 ).…”

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%

“…A 3D-UASN formed by randomly deployed dual-hydrophone nodes, which can be used to locate the acoustic source. Each node floats with a buoy [ 43 ].…”

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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“…However, this is difficult to implement in underwater environments, thus the researchers have proposed some localization algorithms without synchronization requirements. The localization scheme of [ 22 ] requires time synchronization, but dual hydrophones on each node can reduce the time synchronization requirement. In [ 22 ], a Dual Hydrophone Localization (DHL) approach is proposed, and the localization problem is converted into a half-plane intersection problem.…”

Section: Related Workmentioning

confidence: 99%

“…The localization scheme of [ 22 ] requires time synchronization, but dual hydrophones on each node can reduce the time synchronization requirement. In [ 22 ], a Dual Hydrophone Localization (DHL) approach is proposed, and the localization problem is converted into a half-plane intersection problem. As for the synchronization-free positioning scheme, we introduce three papers to show it.…”

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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“…The first part is the methods for estimating sensor ranges and direction, as in [7] [8], and the second part is the mathematical techniques and algorithms for determining the position of sensors in an entire UWASNs [9] [10].…”

Section: T R a N S A C T I O N S O N M A C H I N E L E A R N I N G A mentioning

confidence: 99%

A Real Time Embedded System Architecture for Autonomous Underwater Sensors Localization

Es-sadaoui

Khallaayoune

Brizard³

2017

TMLAI

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Underwater Acoustic Sensor Networks (UWASNs) consist of a variable number of autonomous sensors or vehicles that are deployed over a given area to perform smart sensing and collaborative monitoring tasks. In UWASNs, sensor localization plays a critical role. Motivated by the advent of embedded systems and their widespread adoption in localization, this paper presents the design and architecture of an autonomous embedded system, that uses acoustic signal to communicate underwater. The proposed architecture implements a set of embedded interfaces, such as interprocessor communication link and serial interfaces, which facilitates its integration with other systems. The implementation of a straightforward localization algorithms based on the Phase Difference and the Time of Arrival techniques is also described. The ability of the developed system to localize underwater sensors was tested during sea trials.

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A novel dual-hydrophone localization method in underwater sensor networks

Cited by 9 publications

References 9 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

A Real Time Embedded System Architecture for Autonomous Underwater Sensors Localization

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