Paper Title:
Underwater Acoustic Sensor Network Nodes Targeting and Optimization Strategies
  Abstract

Wireless sensor networks more complex in the marine environment than in terrestrial environments, the independent positioning mechanism can reduce the difficulty of modeling. The study on underwater acoustic sensor network node distribution of two-dimensional and three-dimensional respectively and the establishment relation function of the distance of beacon nodes and unknown nodes which based on in the traditional centroid algorithm idea. Using Taylor series can reduce the complexity computing of nodes who sensitive to energy because of its linear approximation in a manner. Because the genetic algorithm fitness function only interested in building the corresponding function, optimizing the established function. Simulation results show that: it can achieve the nodes self-localization effectively both in two- dimension and three-dimension that the distance formulas between nodes are liberalized by Taylor series and optimized by genetic algorithms.

  Info
Periodical
Advanced Materials Research (Volumes 328-330)
Chapter
Chapter 3: Mechatronics and Automation
Edited by
Liangchi Zhang, Chunliang Zhang and Zichen Chen
Pages
2004-2009
DOI
10.4028/www.scientific.net/AMR.328-330.2004
Citation
H. Zhang, Y. L. Liu, "Underwater Acoustic Sensor Network Nodes Targeting and Optimization Strategies", Advanced Materials Research, Vols. 328-330, pp. 2004-2009, 2011
Online since
September 2011
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Price
$32.00
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