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Evaluation of a Fluid Dynamic Model in Wireless Sensor Networks for the Estimation of Maximum Traffic Volume

Modelling data flow in wireless networks is a complicated task, since network dynamics are frequently unpredictable. The situation is even harder in the case of Wireless Sensor Networks (WSNs). Thus, many researchers instead of modelling the microscopic behavior of each single node, they choose to model traffic flow macroscopically. Fluid dynamic principles provide researchers with a powerful tool. In this paper we evaluate a specific fluid dynamic model, that attempts to estimate the maximum traffic volume that should exist in a WSN, in order to avoid congestion because of buffer overflows, when traffic restrictions occur (e.g. traffic bottlenecks). Simulation results show that this specific fluid dynamic model is well precise and able to capture the behaviour of the traffic.