Localization and Synchronization for 3D Underwater Acoustic Sensor Networks

Tian, Chen; Liu, Wenyu; Jin, Jiang; Wang, Yi; Mo, Yijun

doi:10.1007/978-3-540-73549-6_61

Cited by 35 publications

(19 citation statements)

References 13 publications

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“…Tian et al proposed the first localization and synchronization scheme for 3D underwater acoustic networks in [26], using atomic multilateration and iterative multilateration techniques. In this scheme, the to-be localized sensor node obtains time and localization information from the anchor nodes, which are localized on the surface of the water in order to perform time synchronization and localization.…”

Section: A Related Workmentioning

confidence: 99%

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A Joint Time Synchronization and Localization Design for Mobile Underwater Sensor Networks

Liu

Wang

Cui

et al. 2016

IEEE Trans. on Mobile Comput.

189

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Time synchronization and localization are basic services in a sensor network system. Although they often depend on each other, they are usually tackled independently. In this work, we investigate the time synchronization and localization problems in underwater sensor networks, where more challenges are introduced because of the unique characteristics of the water environment. These challenges include long propagation delay and transmission delay, low bandwidth, energy constraint, mobility, etc. We propose a joint solution for localization and time synchronization, in which the stratification effect of underwater medium is considered, so that the bias in the range estimates caused by assuming sound waves travel in straight lines in water environments is compensated. By combining time synchronization and localization, the accuracy of both are improved jointly. Additionally, an advanced tracking algorithm IMM (interactive multiple model) is adopted to improve the accuracy of localization in the mobile case. Furthermore, by combining both services, the number of required exchanged messages is significantly reduced, which saves on energy consumption. Simulation results show that both services are improved and benefit from this scheme.

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Section: A Related Workmentioning

confidence: 99%

“…(11), theT 1 andT 2 are propagation delays estimated in Eq. (26), and the subscript " 1 "," 2 " stand for the two corresponding delays for in each message exchange. " i " is the index for the message exchange, and " n " is the total number of message exchange. "…”

Section: Surface Buoymentioning

confidence: 99%

A Joint Time Synchronization and Localization Design for Mobile Underwater Sensor Networks

Liu

Wang

Cui

et al. 2016

IEEE Trans. on Mobile Comput.

189

View full text Add to dashboard Cite

show abstract

“…Tian et al proposed the first localization and synchronization scheme for 3D underwater acoustic networks in [23], using atomic multilateration and iterative multilateration techniques. In this scheme, the to-be localized sensor node obtains time and localization information from the anchor nodes, which are localized on the surface of the water in order to perform time synchronization and localization.…”

Section: A Related Workmentioning

confidence: 99%

JSL: Joint time synchronization and localization design with stratification compensation in mobile underwater sensor networks

Wang

Zuba

et al. 2012

2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON)

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Time synchronization and localization are basic services in a sensor network system. Although they often depend on each other, they are usually tackled independently. In this work, we investigate time synchronization and localization problems in underwater sensor networks. We propose a joint solution for localization and time synchronization, in which the stratification effect of underwater medium is considered, so that the bias in the range estimates caused by assuming sound waves travel in straight lines in water environments is compensated. By combining time synchronization and localization, the accuracy of both are improved jointly. Additionally, an advanced tracking algorithm IMM (interactive multiple model) is adopted to improve the accuracy of localization in the mobile case. Furthermore, by combining both services, the number of required exchanged messages is significantly reduced, which saves on energy consumption. Simulation results show that both services are improved and benefit from this scheme.

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“…Tian et al [13] developed a multilateration algorithm which could reliably localize and synchronize underwater sensor networks by acoustic ranging. Cheng et al [14] proposed a novel underwater localization algorithm for sparse 3D acoustic sensor networks, which transformed 3D underwater localization to 2D.…”

Section: Introductionmentioning

confidence: 99%

3D-ADAL: A three-dimensional distributed range-free localization algorithm for wireless sensor networks based on unmanned aerial vehicles

Guerrero

Álvarez

Rivero

2010

2010 Fifth International Conference on Digital Information Management (ICDIM)

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In wireless sensor networks (WSNs) the position information of individual nodes is a matter of vital importance because allows the implementation of necessary network functions such as routing, querying and other applications. The objective of this paper is to propose an algorithm of threedimensional distributed range-free localization for WSNs, using an unmanned aerial vehicle (UAV) equipped with a rotary and tilting directional antenna. This algorithm, denominated as the three-dimensional azimuthally defined area localization algorithm (3D-ADAL), is executed in each sensor node and is based only on the analysis of the information received from the UAV, therefore is energy efficient and contributes to extend the lifetime of the sensor network. Additionally the proposed algorithm has the advantage of being simple and economical. The simulation results show that the proposed algorithm is a practical, effective and accurate method for a three-dimensional location of sensor nodes in a WSN.Keywords -Three-dimensional localization, wireless sensor network, unmanned aerial vehicle, directional antenna.

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Localization and Synchronization for 3D Underwater Acoustic Sensor Networks

Cited by 35 publications

References 13 publications

A Joint Time Synchronization and Localization Design for Mobile Underwater Sensor Networks

A Joint Time Synchronization and Localization Design for Mobile Underwater Sensor Networks

JSL: Joint time synchronization and localization design with stratification compensation in mobile underwater sensor networks

3D-ADAL: A three-dimensional distributed range-free localization algorithm for wireless sensor networks based on unmanned aerial vehicles

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