The paper proposes a new approach to model the hierarchical structure and implement a scheduled algorithm for disseminating data of a brown planthopper surveillance network based on Wireless Sensor Network (WSN) approach. In the hierarchical model, light trap sensor nodes in the same province compose a sub network at level 1 while sink nodes of these networks compose another sub network at level 0. Thanks to this structure, there are 2 types of data dissemination: local at sub networks at level 1 and cluster at sub network at level 0. These behaviors are monitored by a timer which calculates the next execution time for each node. The model and its algorithms are simulated using data col- lections of the brown planthopper surveillance network in Mekong Delta, especially in Cantho, Angiang, Dongthap - 3 typical rice provinces in the delta. Structure of the model is suitable for the hierarchical management policies of a light trap network in a large region and the role of WSN in collecting data is emerged via the simulation.