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The Generation of Large-scale Wireless Sensor Network Model Based on OPNET-EMA

At present, the simulation of large-scale wireless sensor networks has become an academic hotspot and how to quickly and accurately build a large-scale sensor network model with good performance is one of the core problems. Most scholars usually use traditional OPNET graphical editor to deploy various network objects manually when building network models. However, this modeling method has some flows such as low efficiency, poor accuracy, and inability to automatically generate network models by accessing database. To solve the above problems, this paper puts forward a large-scale wireless sensor network modeling technology based on OPNET – EMA to automatically generate accurate models with data from database by adopting the XML (Hypertext Markup Language) technology after studying EMA (External Module Access) function provided by OPNET simulation platform. The method proposed in this paper has good theoretical and practical significance for the research of modeling technology of large-scale wireless sensor networks.