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Wireless Sensor Networks Localization Algorithm Based on Constraint Particle Swarm Optimization
Author: HeJinSheng
Tutor: OuYangDanTong
School: Jilin University
Course: Computer Software and Theory
Keywords: Wireless sensor networks Node Localization Particle Swarm Optimization Constrained Optimization
CLC: TP212.9
Type: Master's thesis
Year: 2011
Downloads: 109
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Abstract
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The node localization is the key technology of wireless sensor networks . When measured with the the AOA measurement values ??of the two anchor nodes can use the triangulation method , measured three anchor nodes distance trilateration , more than three can be used to calculate the maximum likelihood estimation method . However , the triangulation method and the trilateration using only two or three anchors , the positioning error is large . Maximum likelihood estimation method by multiple anchor nodes to locate an unknown node , but specified anchor nodes ranging error , the end result a great error . For the lack of the traditional positioning calculation method , this paper proposes a node localization algorithm based on constrained particle swarm optimization (Constraint Particle Swarm Optimization, CPSO) node localization problem is converted into the constrained optimization problems using particle swarm optimization algorithm to solve . The simulation experiments show that CPSO - based node localization method compared with the maximum likelihood estimation method in different ranging error , different ranging radius , different anchor nodes , nodes have a better effect. This shows that the CPSO - based positioning algorithm has stronger anti - error , better convergence and fewer hardware investment advantages , and positioning node sparse network effect is also superior .
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CLC: > Industrial Technology > Automation technology,computer technology > Automation technology and equipment > Automation components,parts > Transmitter ( converter),the sensor > Sensor applications
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