Quantum genetic algorithm optimization in TDMA time slot allocation for WSN

Author

Duan Shao-Mi ; Mao Jian-Lin ; Xiang Feng-Hong ; Liu Hai-Peng

Author_Institution

Dept. of Autom., Kunming Univ. of Sci. & Technol., Kunming, China

fYear

2013

Firstpage

7377

Lastpage

7382

Abstract

In order to overcome the premature, enhance the searching ability, improve the convergence speed, this paper propose a catastrophic real-coded chaotic quantum-inspired genetic algorithm (CRCQGA), in multimodal function test, this algorithm is the test result is good; and the algorithm is applied to many to one transmission mode of WSN (Wireless Sensor Network) TDMA (Time Division Multiple Access) time slot allocation optimization, simulation results show that CRCQGA and real-coded quantum genetic algorithm (RCQGA), ant colony algorithm (ACA) compared with highest accuracy, convergence speed is the fastest.

Keywords

ant colony optimisation; chaotic communication; genetic algorithms; time division multiple access; wireless sensor networks; ACA; CRCQGA; TDMA time slot allocation; WSN; ant colony algorithm; catastrophic real-coded chaotic quantum-inspired genetic algorithm; multimodal function test; time division multiple access; time slot allocation optimization; wireless sensor networks; Automation; Electronic mail; Genetic algorithms; Optimization; Resource management; Time division multiple access; Wireless sensor networks; Quantum genetic algorithm; Time division multiple access; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2013 32nd Chinese

Conference_Location

Xi´an

Type

conf

Filename

6640736