Title :
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
fDate :
May 31 2014-June 2 2014
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;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852225
