Title :
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.
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;
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
DOI :
10.1109/APCC.2006.255845
