As a result of increasing international air traffic, airports are one of the most complicated built environments. Airport terminals will increasingly require ubiquitous systems with high levels of computational power to provide the necessary intelligent automation, high quality services to passengers and stringent levels of safety and security that are as unobtrusive as possible. These requirements involve mobile appliances, and hence, an advanced telecommunication network that can handle the teletraffic load reliably and efficiently. In this paper we propose a mixed of series queues to model the airport network. The model cannot result in closed form solution to the steady state probability of the network. Instead, the proposed model divides the whole network into stages of separately defined queues which can be dealt with independently. Important data such as number of passengers in the nodes and the time spent in the queues can be obtained by considering each stage separately. The model is used to find the teletraffic distribution over the network in different times.