DocumentCode :
3456845
Title :
A Probabilistic Approach to Resource Allocation in Distributed Fusion Systems
Author :
Ji-Xu, Ren ; Jia-Cheng, Song ; Ji-Liu, Hai ; Xiao-Yu, Feng
Author_Institution :
Hefei Univ. of Technol., Hefei
fYear :
2006
fDate :
20-23 Aug. 2006
Firstpage :
578
Lastpage :
583
Abstract :
In complex multi-agent fusion systems resource conflicts are very likely to occur. We propose an algorithm that determines the optimal sensing resource to fusion task assignment, based on the entropy change criterion. By exploiting the Bayesian network framework and the structure of our agent network the algorithm operates in a distributed manner by combining descriptions of local fusion models in an efficient way which provides significant advantages over centralized approaches.
Keywords :
belief networks; distributed processing; entropy; multi-agent systems; probability; resource allocation; Bayesian network; distributed fusion system; entropy change criterion; multiagent fusion system; optimal sensing resource; probabilistic approach; resource allocation; task assignment; Bayesian methods; Collaboration; Computer networks; Distributed computing; Entropy; Probability distribution; Resource management; Robustness; agent; distribution; entropy; fusion;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Acquisition, 2006 IEEE International Conference on
Conference_Location :
Shandong
Print_ISBN :
1-4244-0528-9
Electronic_ISBN :
1-4244-0529-7
Type :
conf
DOI :
10.1109/ICIA.2006.305777
Filename :
4097721
Link To Document :
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