Weight Optimization Method of Wireless Sensor Network Based on Fuzzy MADMR

Author

Qiang, Niu ; Qiannan, Xu

Author_Institution

Sch. of Comput. Sci. &Technol., China Univ. of Min. & Technol., Xuzhou, China

Volume

1

fYear

2011

fDate

28-29 March 2011

Firstpage

303

Lastpage

306

Abstract

For more efficient use of wireless sensor networks, the article using the Bayesian formula to revise the subjective weights base on the fuzzy multiple attribute decision making (MADMR) of WSN routing algorithm which making the subjective weight more theoretical, at the same time using the entropy coefficient model to avoid too much deviation with the objective weights. The simulation results show that the improved algorithm shows a more excellent performance in increase network coverage, balance the network energy consumption and so on.

Keywords

Bayes methods; decision making; optimisation; telecommunication network routing; wireless sensor networks; Bayesian formula; WSN routing algorithm; entropy coefficient model; fuzzy MADMR; fuzzy multiple attribute decision making; network coverage; network energy consumption; weight optimization method; wireless sensor network; Algorithm design and analysis; Decision making; Entropy; Network topology; Optimization; Routing; Wireless sensor networks; fuzzy multiple attribute decision making; routing algorithm; weight optimization; wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on

Conference_Location

Shenzhen, Guangdong

Print_ISBN

978-1-61284-289-9

Type

conf

DOI

10.1109/ICICTA.2011.86

Filename

5750616