Empirical Data Fusion for Decentralized Detection in Sensors Systems with Sequential Structure

Author

Kramarev, Dmitry ; Bae, Seungho ; Kim, Kiseon

Author_Institution

Dept. of Inf. & Commun., Gwangju Inst. of Sci. & Technol.

fYear

2006

fDate

Aug. 2006

Firstpage

1

Lastpage

5

Abstract

The decentralized detection problem in wireless sensor network with sequential structure is considered. We propose a new empirical data fusion scheme. This scheme is investigated with assumption of spatially and temporally identically and independently distributed observations and individual energy consumption constraint. The influence of multiple access channel noises is studied. The detection performance is compared with other schemes of data fusion. Asymptotical optimality of this scheme which is achieved without utilization of the event probabilistic model in sensors is shown

Keywords

multi-access systems; probability; sensor fusion; signal detection; wireless sensor networks; decentralized detection; empirical data fusion; event probabilistic model; identically-independently distributed observation; individual energy consumption constraint; multiple access channel noises; sequential structure; wireless sensor network; Data communication; Energy consumption; Event detection; Intelligent sensors; Performance evaluation; Probability distribution; Sensor fusion; Sensor systems; Testing; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, 2006. APCC '06. Asia-Pacific Conference on

Conference_Location

Busan

Print_ISBN

1-4244-0574-2

Electronic_ISBN

1-4244-0574-2

Type

conf

DOI

10.1109/APCC.2006.255845

Filename

4023150