The paper proposes a new approach to model the Brown Planthopper surveillance as a synchronous network, network consists of components running simultaneously, based on hexagonal cellular automata. In the surveillance network, working space of hoppers is divided as a hexagonal cell system of which cell is a node of a graph G and two neighborhood cells compose an edge of the graph. Sensor nodes are deployed at some cells to measure surrounding conditions as well as hopper density. Simulation results of the hopper surveillance network model with data collection in Cantho, Mekong Delta may provide some useful information in managing pest insects as well as in sensing and collecting data from observation wireless sensor network