Time-Synchronization Free Localization in Large Scale Underwater Acoustic Sensor Networks

Cheng, Wei; Thaeler, Andrew; Cheng, Xiuzhen; Liu, Fang; Lu, Xicheng; Lu, Zexin

doi:10.1109/icdcsw.2009.79

Cited by 57 publications

(39 citation statements)

References 12 publications

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“…Node displacement velocity is assumed to be constant, which gives the actual throughput for real time deployment. Whereas authors in [5] uses the time synchronization between the two nodes without considering the notion of reflected paths, which increases the error exponentially. Due to watch circles, the displacement occurs very frequently and the synchronization between the nodes are needed to be carried out at regular interval of times.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…It is unclear at this point why range-induced errors improves the error at 70 nodes when the error-free ranges predict a higher error. It Scheme [5] Scheme [7] Figure 4 Mean localization error for ten realizations, for varying number of nodes in network, using error-free ranges.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Depending on these scenarios, we can have the possible three cases namely; no-solution, which occurs when there is only one known node range is available for localization; secondly, many solutions, where one unknown node has two ranges to know known nodes, i.e., there are two ambiguous outcomes that exist when two range circles intersect. However, this can be resolved by using AoA [5] and law of cosines [14]; finally, finite difference linearization is applied, where one unknown node has three ranges from known nodes, such that a single, unambiguous solution exists [14].…”

Section: Acoustic Localization Constraintsmentioning

confidence: 99%

“…In [5,6], a technique incorporating the time synchronization between the two nodes has been proposed. The existing algorithms does not consider the effect of realistic condition namely, (a) reflected paths, (b) watch circles, and (c) node displacement, which increases the localization error exponentially.…”

Section: Introductionmentioning

confidence: 99%

“…However, we overcome the problem of reflected paths and watch circles in our scheme, and the proposed scheme does not require time synchronization in the network. In [5], the network calculations are implemented by using the ordinary sensor nodes, and we reduce this complexity by incorporating Seaweb/GB communication between sensor nodes and Seaweb server.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A scalable global positioning system-free localization scheme for underwater wireless sensor networks

Mirza

Shakir

Alouini

2013

J Wireless Com Network

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Seaweb is an acoustic communication technology that enables communication between sensor nodes. Seaweb technology utilizes the commercially available telesonar modems that has developed link and network layer firmware to provide a robust undersea communication capability. Seaweb interconnects the underwater nodes through digital signal processing-based modem by using acoustic links between the neighboring sensors. In this paper, we design and investigate a global positioning system-free passive localization protocol by integrating the innovations of levelling and localization with the Seaweb technology. This protocol uses the range data and planar trigonometry principles to estimate the positions of the underwater sensor nodes. Moreover, for precise localization, we consider more realistic conditions namely, (a) small displacement of sensor nodes due to watch circles and (b) deployment of sensor nodes over non-uniform water surface. Once the nodes are localized, we divide the whole network field into circular levels and sectors to minimize the traffic complexity and thereby increases the lifetime of the sensor nodes in the network field. We then form the mesh network inside each of the sectors that increases the reliability. The algorithm is designed in such a way that it overcomes the ambiguous nodes errata and reflected paths and therefore makes the algorithm more robust. The synthetic network geometries are so designed which can evaluate the algorithm in the presence of perfect or imperfect ranges or in case of incomplete data. A comparative study is made with the existing algorithms which proves the efficiency of our newly proposed algorithm.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Simulation Resultsmentioning

confidence: 99%

Section: Acoustic Localization Constraintsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A scalable global positioning system-free localization scheme for underwater wireless sensor networks

Mirza

Shakir

Alouini

2013

J Wireless Com Network

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A survey on deployment techniques, localization algorithms, and research challenges for underwater acoustic sensor networks

Tuna

Güngör

2017

Int J Communication

138

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Summary In recent years, wireless sensor networks (WSNs) have attracted the attention of both the research community and the industry, and this has eventually lead to the widespread use of WSNs in various applications. The significant advancements in WSNs and the advantages brought by WSNs have also enabled the rapid development of underwater acoustic sensor networks (UASNs). In UASNs, in addition to deployment, determining the locations of underwater sensor nodes after they have been deployed is important since it plays a critical role in many applications. Various localization techniques have been proposed for UASNs, and each one is suitable for specific scenarios and has unique challenges. In this paper, after presenting an overview of potential UASN applications, a survey of the deployment techniques and localization algorithms for UASNs has been presented based on their major advantages and disadvantages. Finally, research challenges and open research issues of UASNs have been discussed to provide an insight into future research opportunities.

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Analysis and performance evaluation of computation models for node localization in deep sea using UWSN

Kumar,

Goyal,

Singh

et al. 2024

Int J Communication

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SummaryUnderwater wireless sensor network (UWSN) connects the real world to the hidden resources available deep into the sea using sensor nodes deployed sparsely and are interconnected to gather information for any movement/change in the ocean. The computed information on nodes obtained from concurrently running UWSN's applications will be meaningful, only if the location of this change will be identified. Nevertheless, it is always difficult to obtain the exact location coordinates of any misadventure like tectonic plate's movement but using localization algorithms in UWSN helps to obtain the coordinates. Since localization algorithms for terrestrial networks are not feasible for UWSN because of environmental challenges. Moreover, GPS systems do not work after 15 m of depth and the radio frequency gets suppressed. So, the requirement arises to analyze existing localization approaches in the deep sea where acoustic signals are used for communication and data transfer. In this paper, along with describing the UWSN's applications and challenges, the underwater localization schemes are reviewed to present, summarize, and mention the scope of improvement. Further, classification into range‐based and range‐free categories of these schemes is depicted with implementation in the NS2.30 simulation environment of some of the recent techniques to showcase the reasons for better performance.

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Time-Synchronization Free Localization in Large Scale Underwater Acoustic Sensor Networks

Cited by 57 publications

References 12 publications

A scalable global positioning system-free localization scheme for underwater wireless sensor networks

A scalable global positioning system-free localization scheme for underwater wireless sensor networks

A survey on deployment techniques, localization algorithms, and research challenges for underwater acoustic sensor networks

Analysis and performance evaluation of computation models for node localization in deep sea using UWSN

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