Underwater Acoustic Sensor Network Nodes Targeting and Optimization Strategies

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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)

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 and 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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$35.00

[1] N. Bulusu, J. Heidemann and D. Estrin. Density adaptive algorithms for beacon placement in Wireless sensor networks: In Proceedings of IEEE ICDCS'01, Phoenix, AZ. April (2001).

[2] T. He, C.D. Huang, Brian M Blum, J. Stankovic and T. Abdelzaher: Range-Free Localization Schemes in Large Scale Sensor Networks (In Proceedings of the 9th Annual International Conference on Mobile Computing and Networking (MobiCom), San Diego , California , USA : ACM Press) 2003, p.81.

DOI: 10.1145/938994.938995

[3] J.H. Cui, J.J. Kong, M. Gerla and S.L. Zhou. The challenges of building scalable mobile underwater Wireless sensor networks for aquatic applications. IEEE NETWORK. 2006. 20(3), p.12.

DOI: 10.1109/mnet.2006.1637927

[4] VG.Q. Mao, B. Fida.

[5] V. Chandrasekha, W. KG. Seah, Y.S. Choo and H.V. Ee. Localization in underwater sensor networks: survey and challenges. 2006: the 1st ACM.

DOI: 10.1145/1161039.1161047

[6] J. Heidemann, Y. Wei, J. Wills, A. Syed and Y. Li. Research challenges and applications for underwater sensor networking. 2006: IEEE.

DOI: 10.1109/wcnc.2006.1683469

[7] W. Cheng, Teymorian AY, Ma L, Cheng X, Lu X, Lu Z, Underwater localization in sparse 3d acoustic sensor networks2008: IEEE.

DOI: 10.1109/infocom.2007.56

[8] Teymorian AY, Cheng W, Ma L, Cheng X, Lu X, Lu Z. 3d underwater sensor network localization. IEEE Transactions on Mobile Computing2009, p.1610.

DOI: 10.1109/tmc.2009.80

[9] Rice J. Telesonar signaling and Seaweb underwater wireless networks. SPACE AND NAVAL WARFARE SYSTEMS CENTER SAN DIEGO CA ACOUSTICS BRANCH2001.

[10] Niculescu D. Positioning in ad hoc sensor networks. Network[J], IEEE2004; 18(4), p.24.

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