Abstract: In this study, a tool is implemented for generating a special trace model, called ant mobility model. It mimics the ants’ movements of an ant colony. The movement is similar to the workers in a store. We focus on the integration between the ant mobility model and the network environment. When users setup the parameters for generating an ant mobility model, such as ant size, food size, the time interval of pheromone, etc., the generated model of trace data can be used directly in the network environment. In order to illustrate the feasibility of ant mobility model, it is compared with the random waypoint mobility model based on the same routing protocols, DSDV, DSR and AODV, by using NS-2 simulator. Three major performance metrics, throughput, network latency and control overhead message, are estimated. As we expected, these three metrics of the ant mobility model are different than that of the random waypoint mobility model. We suggest that a trace model, like ant mobility model, should be integrated quickly with the network environment in the same way.