DocumentCode
3347941
Title
Notice of Retraction
Genetic algorithm-base localization algorithm for wireless sensor networks
Author
Wenwen Li ; Wuneng Zhou
Author_Institution
Coll. of Inf. Sci. & Technol., Donghua Univ., Shanghai, China
Volume
4
fYear
2011
fDate
26-28 July 2011
Firstpage
2096
Lastpage
2099
Abstract
Notice of Retraction
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The node localization of wireless sensor network (WSN) is an important technical. In this paper, an algorithm on the node location of WSN combing with the genetic algorithm is proposed. The simulation result shows that the proposed algorithm is able to determine the accurate position of the unknown nodes currently. And then comparing to the DV-HOP, the proposed algorithm has lower error which is also verified by the simulation.
After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.
We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.
The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.
The node localization of wireless sensor network (WSN) is an important technical. In this paper, an algorithm on the node location of WSN combing with the genetic algorithm is proposed. The simulation result shows that the proposed algorithm is able to determine the accurate position of the unknown nodes currently. And then comparing to the DV-HOP, the proposed algorithm has lower error which is also verified by the simulation.
Keywords
genetic algorithms; sensor placement; wireless sensor networks; DV-HOP; base localization algorithm; genetic algorithm; node localization; node location; wireless sensor networks; Ad hoc networks; Algorithm design and analysis; Biological cells; Genetic algorithms; Genetics; Global Positioning System; Wireless sensor networks; Genetic Algorithm; Localization; Node; Wireless Sensor Network;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation (ICNC), 2011 Seventh International Conference on
Conference_Location
Shanghai
ISSN
2157-9555
Print_ISBN
978-1-4244-9950-2
Type
conf
DOI
10.1109/ICNC.2011.6022395
Filename
6022395
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