Research of three-dimensional localization algorithm based on DV-Hop AC-PSO

Author

Jun Xiao ; Xiaochuan Zheng

Author_Institution

Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China

fYear

2014

fDate

May 31 2014-June 2 2014

Firstpage

5380

Lastpage

5384

Abstract

Currently, most of node localization algorithms are designed based on the two-dimensional space, but the practical application is carried out in three-dimensional space. A three-dimensional node localization hybrid algorithm called DV-Hop-AC-PSO is proposed, which combines the advantages of DV-Hop, ant colony and particle swarm algorithm. In the proposed algorithm, particle swarm algorithm is adopted to optimize the parameters of the ant colony algorithm, and DV-Hop algorithm is used in the iterative process of ant colony algorithm to improve the localization accuracy. Experimental results prove the effectiveness of the proposed algorithm.

Keywords

ant colony optimisation; particle swarm optimisation; wireless sensor networks; DV-Hop-AC-PSO algorithm; ant colony optimization; localization accuracy; particle swarm optimization algorithm; three-dimensional node localization hybrid algorithm; three-dimensional space; two-dimensional space; wireless sensor network; Algorithm design and analysis; Approximation algorithms; Distance measurement; Educational institutions; Particle swarm optimization; Three-dimensional displays; Wireless sensor networks; DV-Hop; ant colony; localization; particle swarm; wireless sensor network;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (2014 CCDC), The 26th Chinese

Conference_Location

Changsha

Print_ISBN

978-1-4799-3707-3

Type

conf

DOI

10.1109/CCDC.2014.6852225

Filename

6852225