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3D Underwater Sensor Network Localization

delete2009-12-01
delete175
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OA
AI
DOI:10.1109/TMC.2009.80delete
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Abstract

Abstract

En 中文
We transform the 3D underwater sensor network (USN) localization problem into its 2D counterpart by employing sensor depth information and a simple projection technique. We first prove that a nondegenerative projection preserves network localizability. We then prove that given a network and a constant k, all of the geometric k-lateration localization methods are equivalent. Based on these results, we design a purely distributed bilateration localization scheme for 3D USNs termed as (U) under bar nderwater (S) under bar ensor (P) under bar ositioning (USP). Through extensive simulations, we show that USP has the following nice features: 1) improved localization capabilities over existing 3D methods, 2) low storage and computation requirements, 3) predictable and balanced communication overhead, and 4) robustness to errors from the underwater environment.
Keywords:
Underwater sensor networks
projection
localizability study
3D localization

Journal

IEEE Transactions on Mobile Computing cover
IEEE Transactions on Mobile Computing
IF:
9.2
Papers:
5.8K
Citations:
1.8W

Organization

G
George Washington University
Scholars:
1.6W
Papers: 1.4W
Citations: 1.7W
N
national university of defense technology - china
Scholars:
1.8W
Papers: 1.4W
Citations: 9
M
Michigan Technological University
Scholars:
5.0K
Papers: 4.4K
Citations: 6.4K
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Cited Papers

Cited Papers

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errAspnes, James; Eren, Tolga; Goldenberg, David K.; Morse, A. Stephen; Whiteley, Walter; Yang, Yang Richard; Anderson, Brian D. O.; Belhumeur, Peter N.
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Identifying Catalytic Reactions on Single Nanoparticles
err2018-05-16
err0
PREAI
errShahar Dery; Einav Amit; Elad Gross
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