Underwater acoustic sensor network localization using four directional beams

Zandi, Rahman; Kamarei, Mahmoud; Amiri, Hadi

doi:10.1109/iraniancee.2013.6599752

Cited by 9 publications

(6 citation statements)

References 9 publications

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“…The present work is the extension of the previous work in Zandi et al (2013). The difference between Zandi et al (2013) and the present work is the theoretical analysis of error in terms of beam width and evaluation of affection of beam width variations on the performance of the proposed localisation scheme. Another difference is the comparison between the proposed localisation scheme and the other proposed scheme.…”

Section: Related Workmentioning

confidence: 93%

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Distributed estimation of sensors position in underwater wireless sensor network

Zandi

Kamarei

Amiri

2015

International Journal of Electronics

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In this paper, a localisation method for determining the position of fixed sensor nodes in an underwater wireless sensor network (UWSN) is introduced. In this simple and range-free scheme, the node localisation is achieved by utilising an autonomous underwater vehicle (AUV) that transverses through the network deployment area, and that periodically emits a message block via four directional acoustic beams. A message block contains the actual known AUV position as well as a directional dependent marker that allows a node to identify the respective transmit beam. The beams form a fixed angle with the AUV body. If a node passively receives message blocks, it could calculate the arithmetic mean of the coordinates existing in each messages sequence, to find coordinates at two different time instants via two different successive beams. The node position can be derived from the two computed positions of the AUV. The major advantage of the proposed localisation algorithm is that it is silent, which leads to energy efficiency for sensor nodes. The proposed method does not require any synchronisation among the nodes owing to being silent. Simulation results, using MATLAB, demonstrated that the proposed method had better performance than other similar AUV-based localisation methods in terms of the rates of well-localised sensor nodes and positional root mean square error. ARTICLE HISTORY

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Section: Related Workmentioning

confidence: 93%

“…In Zandi, Kamarei, and Amiri (2013), an AUV-based, range-free localisation scheme was presented which has used four directional beams. The present work is the extension of the previous work in Zandi et al (2013).…”

Section: Related Workmentioning

confidence: 99%

Distributed estimation of sensors position in underwater wireless sensor network

Zandi

Kamarei

Amiri

2015

International Journal of Electronics

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“…Localization algorithms are often classified into two types: Range‐based algorithms and Range‐free algorithms (Zandi et al., 2013). Sensor nodes in a range‐based algorithm use angle or distance information to localize themselves and anchor sensor nodes.…”

Section: Introductionmentioning

confidence: 99%

Enhancement of Precise Underwater Object Localization

Sathish

Anbazhagan

et al. 2023

Radio Science

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Underwater communication applications extensively use localization services for object identification. Because of their significant impact on ocean exploration and monitoring, underwater wireless sensor networks (UWSN) are becoming increasingly popular, and acoustic communications have largely overtaken radio frequency (RF) broadcasts as the dominant means of communication. The two localization methods that are most frequently employed are those that estimate the angle of arrival (AOA) and the time difference of arrival (TDoA). The military and civilian sectors rely heavily on UWSN for object identification in the underwater environment. As a result, there is a need in UWSN for an accurate localization technique that accounts for dynamic nature of the underwater environment. Time and position data are the two key parameters to accurately define the position of an object. Moreover, due to climate change there is now a need to constrain energy consumption by UWSN to limit carbon emission to meet net‐zero target by 2050. To meet these challenges, we have developed an efficient localization algorithm for determining an object position based on the angle and distance of arrival of beacon signals. We have considered the factors like sensor nodes not being in time sync with each other and the fact that the speed of sound varies in water. Our simulation results show that the proposed approach can achieve great localization accuracy while accounting for temporal synchronization inaccuracies. When compared to existing localization approaches, the mean estimation error (MEE) and energy consumption figures, the proposed approach outperforms them. The MEEs is shown to vary between 84.2154m and 93.8275m for four trials, 61.2256m and 92.7956m for eight trials, and 42.6584m and 119.5228m for twelve trials. Comparatively, the distance‐based measurements show higher accuracy than the angle‐based measurements.This article is protected by copyright. All rights reserved.

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“…In [11], a node localization scheme, similar to this work, was proposed; but, the AUV moved on the scan path.…”

Section: Introductionmentioning

confidence: 99%

Underwater Sensor Network Positioning Using an AUV Moving on a Random Waypoint Path

Zandi

Kamarei

Amiri

et al. 2015

IETE Journal of Research

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In this paper, a range-free, passive, and autonomous underwater vehicle (AUV)-based localization scheme is proposed for underwater acoustic sensor networks. The AUV has used four directional acoustic beams with fixed steering angle and width, which led to the constant ratio of array size to wavelength, in order to localize the sensor nodes. The AUV was moved on a random waypoint path and broadcasted messages periodically. The sensor nodes used two successively received message sequences which were submitted by two beams on one side of the AUV path in order to localize themselves. Extensive simulation results in MATLAB demonstrated that using the proposed localization scheme could yield better localization success than other AUV-based localization methods.

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Underwater acoustic sensor network localization using four directional beams

Cited by 9 publications

References 9 publications

Distributed estimation of sensors position in underwater wireless sensor network

Distributed estimation of sensors position in underwater wireless sensor network

Enhancement of Precise Underwater Object Localization

Underwater Sensor Network Positioning Using an AUV Moving on a Random Waypoint Path

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