Decision Fusion in Mixing Two-Hop Cluster Based Wireless Sensor Networks

Author

Zhou, Rong

Author_Institution

Dept. of Autom., Nanjing Univ. of Post & Telecommun., Nanjing, China

Volume

1

fYear

2010

fDate

11-12 May 2010

Firstpage

1097

Lastpage

1100

Abstract

In this paper, we derive optimal likelihood based fusion rule and sub-optimal rule in mixing two-hop cluster based wireless sensor networks. The likelihood ratio rule has been shown the most optimal. However, it acquires channel knowledge and node performance which is not easily available for resource constrained sensor networks. The sub-optimal fusion rules need less computation and information. Simulation shows that sub-optimal fusion rules approach the optimal rule at different SNR.

Keywords

protocols; sensor fusion; wireless sensor networks; SNR; cluster- based protocol; decision fusion; likelihood ratio rule approach; optimal likelihood based fusion rule; suboptimal fusion rule approach; two-hop cluster based wireless sensor network mixing; Automation; Computer networks; Fading; Intelligent networks; Intelligent sensors; Performance analysis; Relays; Sensor fusion; Telecommunication computing; Wireless sensor networks; fading channel; fusion rule; performance analysis; wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on

Conference_Location

Changsha

Print_ISBN

978-1-4244-7279-6

Electronic_ISBN

978-1-4244-7280-2

Type

conf

DOI

10.1109/ICICTA.2010.693

Filename

5523573