Genetic simulated annealing based coverage-enhancing algorithm for deployment of directional Doppler sensors system

Author

Zhang, Ke ; Zhang, Wei ; Jia, Haitao ; Guo, Chengjun

Author_Institution

Key Lab. of Integrated Electron. Syst. (Minist. of Educ.), Univ. of Electron. Sci. & Technol. of China, Chengdu, China

fYear

2012

fDate

19-20 April 2012

Firstpage

1

Lastpage

4

Abstract

Doppler sensors system is a kind of directional sensing system, and its coverage is different from omnidirectional sensing system. In this paper, we propose a GSACEA (Genetic Simulated Annealing based Coverage-Enhancing Algorithm) for the problem of coverage-enhancing in Doppler sensor networks. GSACEA combines the genetic algorithm and the simulated annealing algorithm into the solution for coverage-enhancing in directional Doppler sensor networks. By simulations, comparing our proposed algorithm with other classic directional sensor networks coverage-enhancing algorithm, GSACEA can achieve higher area coverage rate with lesser iterative computing times.

Keywords

genetic algorithms; simulated annealing; wireless sensor networks; GSACEA; coverage-enhancing algorithm; directional Doppler sensors system; genetic simulated annealing; omnidirectional sensing system; Algorithm design and analysis; Biological cells; Computational modeling; Doppler effect; Sensor systems; Simulated annealing; Deployment; Doppler sensor networks; coverage-enhancing; genetic algorithm; simulated annealing algorithm;

fLanguage

English

Publisher

ieee

Conference_Titel

Microwave and Millimeter Wave Circuits and System Technology (MMWCST), 2012 International Workshop on

Conference_Location

Chengdu

Print_ISBN

978-1-4673-1893-8

Type

conf

DOI

10.1109/MMWCST.2012.6238204

Filename

6238204