A three dimensional localization algorithm for underwater acoustic sensor networks

Isik, MT; Akan, O.B.

doi:10.1109/twc.2009.081628

Cited by 184 publications

(111 citation statements)

References 11 publications

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“…Localization in WSN has become an active research topic again recently, and a continuum of algorithms has been proposed [13][14][15][16][17][18][19][20][21][22][23][24][25]. Sensors and beacons are utilized to detect the movements for range-based localization in [14,16,22,23].…”

Section: Related Workmentioning

confidence: 99%

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A Three-Dimensional Wireless Indoor Localization System

Zhou

et al. 2014

Journal of Electrical and Computer Engineering

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Indoor localization, an emerging technology in location based service (LBS), is now playing a more and more important role both in commercial and in civilian industry. Global position system (GPS) is the most popular solution in outdoor localization field, and the accuracy is around 10 meter error in positioning. However, with complex obstacles in buildings, problems rise in the "last mile" of localization field, which encourage a momentum of indoor localization. The traditional indoor localization system is either range-based or fingerprinting-based, which requires a lot of time and efforts to do the predeployment. In this paper, we present a 3-dimensional on-demand indoor localization system (3D-ODIL), which can be fingerprint-free and deployed rapidly in a multistorey building. The 3D-ODIL consists of two phases, vertical localization and horizontal localization. On vertical direction, we propose multistorey differential (MSD) algorithm and implement it to fulfill the vertical localization, which can greatly reduce the number of anchors deployed. We use enhanced field division (EFD) algorithm to conduct the horizontal localization. EFD algorithm is a range-free algorithm, the main idea of which is to dynamically divide the field within different signature area and position the target. The accuracy and performance have been validated through our extensive analysis and systematic experiments.

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Section: Related Workmentioning

confidence: 99%

“…Sensors and beacons are utilized to detect the movements for range-based localization in [14,16,22,23].…”

Section: Related Workmentioning

confidence: 99%

A Three-Dimensional Wireless Indoor Localization System

Zhou

et al. 2014

Journal of Electrical and Computer Engineering

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“…During the first phase, passive listening, sensor nodes listen to the underwater environment for potential targets. Once the noise that is radiated from a target has been detected, the second phase of the algorithm, active ranging, is initiated [4]. To localize the target, 3DUT selects a projector node, which periodically sends pings, and the nodes use the To A of the pings and their echoes to localize the target.…”

Section: D Underwater Tracking Algorithmmentioning

confidence: 99%

“…The nodes which are at the boundary of the sensing region have higher duty cycles in order to detect the target entering into the sensing region immediately. Therefore, to avoid rapid energy depletion of boundary nodes due to continuous surveillance, 3DUT employs an adaptive procedure to find, designate, and activate new boundary nodes [4]. Furthermore, 3DUT does not depend on the number of nodes.…”

Section: Three-dimensional Underwater Targetmentioning

confidence: 99%

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Performance Evaluation of Underwater Sensor Networks

Damodahran¹,

Sivakumar²

2013

IJCA

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Recent improvements in wireless communications and acoustic technology have enabled the use of sensor networks in underwater Surface. Underwater Sensor Networks is an emerging field which requires research in the field of routing and channel access. Applications Using offshore exploration, assisted navigation, Oceanographic data collection and tactical surveillance applications use underwater sensor networks. Some applications such as disaster prevention require minimum delay in data gathering. And also care must be taken to make sure that the energy expenditure of an underwater sensor node is minimal because replenishment of a sensor node is not cost-effective. Simulation results have demonstrated that information-directed routing is a significant improvement over a previously reported 3DUT algorithm, as measured by sensing quality such as localization, tracking accuracy and using Ad hoc network communication quality such as success rate in routing around sensor holes. General TermsUnderwater Sensor Networks, 3DUT Algorithm, AODV Protocol.

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2014

OFDM for Underwater Acoustic Communications

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A three dimensional localization algorithm for underwater acoustic sensor networks

Cited by 184 publications

References 11 publications

A Three-Dimensional Wireless Indoor Localization System

A Three-Dimensional Wireless Indoor Localization System

Performance Evaluation of Underwater Sensor Networks

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