Journal of Parallel and Distributed Computing
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network poses a challenge in determining stable routes in the network. It is often difficult to predict the mobility of the nodes, as they tend to be random in nature. However, a non-random component would also exist in many scenarios. It is this non-random behavior that we consider in this paper to identify the movement trace of the mobile nodes. An algorithm is proposed to model the regular movement of a node as a trace containing a list of stable positions and their associated time. We call this model as a trace based mobility model (TBMM). The effectiveness of this model is shown by predicting the accuracy of a node movement by performing a ten fold cross validation. We also show the applicability of the trace information in the routing protocol to provide Quality of Service (QoS).