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

Liu, Jun; Wang, Zhaohui; Cui, Jun-Hong; Zhou, Shengli; Yang, Bo

doi:10.1109/tmc.2015.2410777

Cited by 174 publications

(60 citation statements)

References 30 publications

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“…T (see (25)). Following the same approach adopted in [3], we can show that cov(u) is approximately equal to…”

Section: B Performance Analysismentioning

confidence: 99%

“…It is iterative and computationally intensive. In [13], [22]- [25], several techniques were proposed to deal with the problem of node localization in the presence of unknown clock offset in sensor networks. However, they all involved joint time synchronization and node localization based on iterative convex optimization [22] or closed-form methods [13], [23], [24].…”

Section: Introductionmentioning

confidence: 99%

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Dual-satellite source geolocation with time and frequency offsets and satellite location errors

Liu

Yang

Mihaylova

2017

2017 20th International Conference on Information Fusion (Fusion)

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Abstract-This paper considers locating a static source on Earth using the time difference of arrival (TDOA) and frequency difference of arrival (FDOA) measurements obtained by a dualsatellite geolocation system. The TDOA and FDOA from the source are subject to unknown time and frequency offsets because the two satellites are imperfectly time-synchronized or frequencylocked. The satellite locations are not known accurately as well. To make the source position identifiable and mitigate the effect of satellite location errors, calibration stations at known positions are used. Achieving the maximum likelihood (ML) geolocation performance usually requires jointly estimating the source position and extra variables (i.e., time and frequency offsets as well as satellite locations), which is computationally intensive. In this paper, a novel closed-form geolocation algorithm is proposed. It first fuses the TDOA and FDOA measurements from the source and calibration stations to produce a single pair of TDOA and FDOA for source geolocation. This measurement fusion step eliminates the time and frequency offsets while taking into account the presence of satellite location errors. The source position is then found via standard TDOA-FDOA geolocation. The developed algorithm has low complexity and performance analysis shows that it attains the Cramér-Rao lower bound (CRLB) under Gaussian noises and mild conditions. Simulations using a challenging scenario with a short-baseline dual-satellite system verify the theoretical developments and demonstrate the good performance of the proposed algorithm.

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“…T (see (25)). Following the same approach adopted in [3], we can show that cov(u) is approximately equal to…”

Section: B Performance Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dual-satellite source geolocation with time and frequency offsets and satellite location errors

Liu

Yang

Mihaylova

2017

2017 20th International Conference on Information Fusion (Fusion)

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show abstract

“…A synchronization algorithm for UWSNs must consider additional factors, such as long propagation delays from the use of acoustic communication and sensor node mobility. Many time synchronization approaches have been proposed for different network topologies [14][15][16][17]. The approach in [17] is designed for the same network topology as ours.…”

Section: Centralized Localization Versus Distributed Localizationmentioning

confidence: 99%

Hybrid Localization Approach for Underwater Sensor Networks

Tsai

Wang

2017

Journal of Sensors

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Underwater Wireless Sensor Networks (UWSNs) are widely used to collect data in the marine environment. Location and time are essential aspects when sensors collect data, particularly in the case of location-aware data. Many studies on terrestrial sensor networks consider sensor locations as the locations where data is collected and focus on sensor positioning when sensors are fixed. However, underwater sensors are mobile networks and the sensor locations change continuously. Localization schemes designed for static sensor networks need to run periodically to update locations and consume considerable sensor power and increase the communication overhead; hence, they cannot be applied to UWSNs. This paper presents a hybrid localization approach with data-location correction, called Data Localization Correction Approach (DLCA), which positions data without additional communication overhead and power consumption on sensors. Without loss of generality, we simulate the ocean environment based on a kinematic model and meandering current mobility model and conduct extensive simulations. Our results show that DLCA can significantly reduce communication costs, while maintaining relatively high localization accuracy.

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“…Furthermore, sending nodes know the initial distance from the sink node d i by many existing localization algorithms such as [14,15] and corresponding propagation delay τ i , where τ i = d i /v, with v the sound speed in underwater.…”

Section: Pc-mac: a Prescheduling And Collision-avoided Mac Protocolmentioning

confidence: 99%

PC-MAC: A Prescheduling and Collision-Avoided MAC Protocol for Underwater Acoustic Sensor Networks

Jin¹,

Xiao²,

Su³

2017

Journal of Sensors

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The impact of the acoustic modem with long preamble characteristic on the collision feature of the media access control scheme in underwater acoustic sensor networks (UANs) is evaluated. It is observed that the collision probability is relatively high due to the extremely long duration of preamble. As a result, UANs generally have much lower network throughput. To address this problem, a prescheduling MAC protocol named PC-MAC for UANs is proposed, which leverages a novel prescheduling scheme for the exchange of control packet to alleviate the collision probability among control packets. PC-MAC is a reservation-based channel access scheme. In the proposed protocol, an extra guard time is introduced to avoid the influence of dynamic spatial-temporal uncertainty of the sender and receiver positions. Simulation results show that PC-MAC outperforms classic reservation-based MAC protocol named SFAMA in terms of network goodput and end-to-end delay and lowers collision probability among control packets in two representative network scenarios.

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

Cited by 174 publications

References 30 publications

Dual-satellite source geolocation with time and frequency offsets and satellite location errors

Dual-satellite source geolocation with time and frequency offsets and satellite location errors

Hybrid Localization Approach for Underwater Sensor Networks

PC-MAC: A Prescheduling and Collision-Avoided MAC Protocol for Underwater Acoustic Sensor Networks

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