Title :
A new hybrid algorithm on TDOA localization in wireless sensor network
Author :
HongyuShi ; Cao, Jianzhong
Author_Institution :
Dept. of Electron. Sci., Huizhou Univ., Huizhou, China
Abstract :
A hybrid algorithm for TDOA localization is proposed in this paper. It has well combined the advantages of genetic algorithm and quasi-Newton algorithm. The hybrid algorithm has sufficiently displayed the characteristics of genetic algorithm´s group searching and quasi-Newton method´s local strong searching. At the same time it effectively overcomes the problem of high sensitivity to initial point of quasi-Newton method and shortcoming of genetic algorithm which reduces the searching efficiency in later period. The experimental results show that if the parameters are assumed reasonably the hybrid algorithm has extremely stability, higher localization rate and localization precision than genetic algorithm and quasi-Newton algorithm.
Keywords :
Newton method; direction-of-arrival estimation; genetic algorithms; search problems; time-of-arrival estimation; wireless sensor networks; TDOA localization hybrid algorithm; genetic algorithm group searching method; quasiNewton local strong searching method; wireless sensor network; Algorithm design and analysis; Biological cells; Equations; Genetic algorithms; Genetics; Search problems; Signal processing algorithms; Genetic Algorithm; Localization; Quasi _Newton Algorithm; TDOA;
Conference_Titel :
Information and Automation (ICIA), 2011 IEEE International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4577-0268-6
Electronic_ISBN :
978-1-4577-0269-3
DOI :
10.1109/ICINFA.2011.5949066