2019
DOI: 10.1109/access.2019.2930735
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Efficient and Accurate Target Localization in Underwater Environment

Abstract: Localization is the basic feature of wireless sensor networks (WSN) and estimating the time difference of arrival (TDoA), and angle of arrival (AoA) is the most used schemes for localization. Underwater wireless sensor network (UWSN) is extensively used for data collection in an underwater environment for both military and civilian applications. Nevertheless, efficient and accurate localization algorithms are essential for the UWSN because of the dynamical property of the underwater surrounding. Also, data man… Show more

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Cited by 64 publications
(38 citation statements)
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“…These algorithms make use of locations of reference nodes and the proximity of unknown nodes to reference nodes. Proximity to nodes is measured using RSSI, TOA, connectivity, etc [35]. In hop based localization algorithms, connectivity information among nodes is used to measure the proximity to reference nodes.…”
Section: Figure 1 Illustration Of a Hwsnmentioning
confidence: 99%
“…These algorithms make use of locations of reference nodes and the proximity of unknown nodes to reference nodes. Proximity to nodes is measured using RSSI, TOA, connectivity, etc [35]. In hop based localization algorithms, connectivity information among nodes is used to measure the proximity to reference nodes.…”
Section: Figure 1 Illustration Of a Hwsnmentioning
confidence: 99%
“…Hence computational intelligence approaches provides solutions. This may happen because of changing characteristics of underwater environment or the acoustic system [18] – [23] . Some of the characteristics to make a tough task easier for the collection of data deep into the water have been discussed as follows: There are very few chances of using static topology in UWSN because most of the topologies are dynamic in nature as there are regular deviations in the network topology of the UWSN.…”
Section: Data Collection In Uwsnmentioning
confidence: 99%
“…Wireless sensor networks (WSN) localization has been extensively used for acoustic tracking of underwater sound sources [48]- [52] and AoA is one of the major measurement techniques. The AoA estimation process can be implemented by measuring the phase difference of acoustic signals perceived by two or more sensors, which can be directly translated into direction vectors [27], [53], [54].…”
Section: Direction Vector Estimation Using Phase-differencementioning
confidence: 99%