The increasing number of ITS (Intelligent Transportation Systems) equipment spread across cities offers tre-mendous possibilities in the development of distributed smart environments. A middleware layer located be-tween the operating system and thefinal application can be used for the communication among theequipment to spontaneously act and cooperate among themselves. However, this middleware layer hasalso a computational cost that should be quantified as it can affect the main application. This paper definesa methodology for such quantification using as case example a modern ITS equipment related to vehicletracking using artificial vision. Experimental results illustrate the proposed methodology.
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