For the detection of the accidental leaks of toxic styrene vapors that occurred in polymer and plastics related industries, a simulation of the styrene vapors distribution and a smart sensor's network are proposed. To design a reliable system for the real time detection of the styrene vapors and to avoid a long time exposition of the workers, an optimal localization of the styrene sensors in the plant and the signal processing are studied. First, the dispersion of the styrene vapors versus the time and the environmental parameters such as gas velocity, pressure and wind direction, is examined. Then, the network protocols, such as signal processing of gas concentration provided by of each sensor, which will allow the multi-detection of the styrene vapors, is discussed by using the queuing theory. The Poisson's distribution signals would permit the calculation of the number of sensors or the estimate of the latency of the stations. To prevent danger and to increase workers' security in the plant, this new method can be used to control organic vapors' concentrations in the air.