DocumentCode :
633677
Title :
The Overlay Network Optimization for Environmental Monitoring
Author :
Zhihong Ren ; Yong Qi
Author_Institution :
Xi´an Eurasia Univ., Xian, China
fYear :
2013
fDate :
29-30 June 2013
Firstpage :
1493
Lastpage :
1495
Abstract :
With the monitoring rang expanded increasingly, the topology of the network environmental monitoring system needs to be developed from the single-layer structure to the multi-layer structure, which branch node function setting and optimization problems are very important. The structure of the overlay network currently being used in the environmental monitoring system is complex, and its communication modes vary, there are also differences in reliability and accuracy. Only proper management can avoid sending the wrong message, improving the overall environmental monitoring system performance. When the monitoring node reaches a certain magnitude, we can assume that all nodes are the same in statistical sense. Bayesian Network probabilistic graphical models generated by the algorithm can fast correct the data as a whole. The simulation data show that the task of collation of data and uncertain data discrimination given to the branch node in accordance with the Bayesian network model algorithm, can effectively improve system reliability and validity.
Keywords :
Bayes methods; belief networks; environmental monitoring (geophysics); probability; Bayesian network model algorithm; Bayesian network probabilistic graphical models; branch node; branch node function setting; communication modes; data collation; environmental monitoring system; monitoring node; multilayer structure; network environmental monitoring system topology; network optimization overlay; optimization problems; overall environmental monitoring system performance; overlay network structure; simulation data; single-layer structure; system reliability; system validity; uncertain data discrimination; Automation; Manufacturing; Bayesian Network; Environmental Monitoring; Optimization Algorithm; Overlay Network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Manufacturing and Automation (ICDMA), 2013 Fourth International Conference on
Conference_Location :
Qingdao
Type :
conf
DOI :
10.1109/ICDMA.2013.357
Filename :
6598281
Link To Document :
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