The Overlay Network Optimization for Environmental Monitoring

with the monitoring rang expanded increaingly, 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.