Two-Phase Time Synchronization-Free Localization Algorithm for Underwater Sensor Networks

Luo, Junhai; Fan, Liying

doi:10.20944/preprints201703.0070.v1

Cited by 13 publications

(9 citation statements)

References 20 publications

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“…The MSE is minimized only if, under the assumption of a set distance between the detectors to the underwater goal, the determinant of the FIM is maximized. The authors suggest a localization method called a Two-Phase Time Synchronization-Free Localization Algorithm (TP-TSFLA) in [73]. TP-TSFLA comprises of two algorithms, the algorithm of range-based assessment and the algorithm of range-free.…”

Section: Range-based Algorithmmentioning

confidence: 99%

A Review of Underwater Localization Techniques, Algorithms, and Challenges

et al. 2020

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Recently, there has been increasing interest in the field of underwater wireless sensor networks (UWSNs), which is a basic source for the exploration of the ocean environment. A range of military and civilian applications is anticipated to assist UWSN. The UWSN is being developed by the extensive wireless sensor network (WSN) applications and wireless technologies. Therefore, in this paper, a review has been presented which unveils the existing challenges in the underwater environment. In this review, firstly, an introduction to UWSN is presented. After that, underwater localizations and the basics are presented. Secondly, the paper focuses on the architecture of UWSN and technologies used for underwater acoustic sensor network (UASN) localization. Various localization techniques are discussed in the paper classified by centralized and distributed localizations. They are further classified into estimated and prediction-based localizations. Also, various underwater localization algorithms are discussed, which are grouped by the algorithms based on range and range-free schemes. Finally, the paper focuses on the challenges existing in underwater localizations, underwater acoustic communications with conclusions.

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Section: Range-based Algorithmmentioning

confidence: 99%

A Review of Underwater Localization Techniques, Algorithms, and Challenges

et al. 2020

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“…In [75] the authors propose a Two Phase Time Synchronization Free Localization Algorithm (TP-TSFLA) using mobile beacons ( figure 19). The network consists of two types of nodes: mobile beacon nodes whose location are known and static sensor nodes with unknown location.…”

Section: ) Distributed Localization Schemes Without Mobility Considementioning

confidence: 99%

A Comprehensive Survey of the Recently Proposed Localization Protocols for Underwater Sensor Networks

Islam

Park

2020

IEEE Access

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Underwater Wireless Sensor Networks (UWSNs) offer a huge number of applications, most of which require tagging the sensed data with location information. This makes localization algorithms an essential part of UWSN design. This paper presents a comprehensive survey of the recently proposed literature on localization in UWSNs. The surveyed algorithms are evaluated based on a wide-ranging set of parameters which constitute the elementary features of a localization algorithm. Moreover, in order to familiarize the readers with the basic design of the surveyed algorithms, brief description of the mode of operations of each algorithm is presented along with its strengths and weaknesses. The algorithms are divided into two categories based on their computational design i.e., centralized and distributed. Each category is further subdivided into the algorithms that consider node mobility, and those that do not. Towards the end, we present our view on the future research directions in the area of localization in UWSNs.

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“…Although this method has certain reference values for the localization scheme without time synchronization, the scheme is implemented in a relatively ideal underwater environment. Based on Reference [ 20 ], a two-phase time-synchronization-free localization algorithm is proposed [ 21 ]. In the first phase, the mobile anchor nodes are used to locate ordinary sensor nodes in the monitoring area.…”

Section: Related Workmentioning

confidence: 99%

“…The remaining conditions remain unchanged. Then, compare them with the TP-TSFLA proposed in Reference [ 21 ], as shown in Figure 12 . The image shows that, under different transmission ranges, the proposed localization scheme, MALS-TSF, has a higher localization ratio.…”

Section: Simulationmentioning

confidence: 99%

“…In Reference [ 20 ], the authors did not give the corresponding monitoring environment parameter settings, so the localization scheme in this paper could not be compared with it. In Reference [ 21 ], the authors set the transmission range of anchor nodes as 250 m in their localization scheme, but the overall localization ratio was less than that of the localization scheme.…”

Section: Simulationmentioning

confidence: 99%

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A Mobility-Assisted Localization Algorithm for Three-Dimensional Large-Scale UWSNs

Luo

Yang

Wang

et al. 2020

Sensors

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As one of the important facilities for marine exploration, as well as environment monitoring, access control, and security, underwater wireless sensor networks (UWSNs) are widely used in related military and civil fields, since the sensor node localization is the basis of UWSNs’ application in various related fields. Therefore, the research of localization algorithms based on UWSNs has gradually become one of the research hotspots today. However, unlike terrestrial wireless sensor networks (WSNs), many terrestrial monitoring and localization technologies cannot be directly applied to the underwater environment. Moreover, due to the complexity and particularity of the underwater environment, the localization of underwater sensor nodes still faces challenges, such as the localization ratio of sensor nodes, time synchronization, localization accuracy, and the mobility of nodes. In this paper, we propose a mobility-assisted localization scheme with time synchronization-free feature (MALS-TSF) for three-dimensional (3D) large-scale UWSNs. In addition, the underwater drift of the sensor node is considered in this scheme. The localization scheme can be divided into two phases. In Phase I, anchor nodes are distributed in the monitoring area, reducing the monitoring cost. Then, we address a time-synchronization-free localization scheme, to obtain the coordinates of the unknown sensor nodes. In Phase II, we use the method of two-way TOA to locate the remaining ordinary sensor nodes. The simulation results show that MALS-TSF can achieve a relatively high localization ratio without time synchronization.

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Two-Phase Time Synchronization-Free Localization Algorithm for Underwater Sensor Networks

Cited by 13 publications

References 20 publications

A Review of Underwater Localization Techniques, Algorithms, and Challenges

A Review of Underwater Localization Techniques, Algorithms, and Challenges

A Comprehensive Survey of the Recently Proposed Localization Protocols for Underwater Sensor Networks

A Mobility-Assisted Localization Algorithm for Three-Dimensional Large-Scale UWSNs

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