As the countries become industrialized, the pollution level to our environments increases and this pollution becomes a major problem for the health of the population and also affects the ecosystem. Although some standards are set with environmental authorities for wastes emissions in air, the monitoring and controlling of those standards is still a challenge in most countries. To avoid such adverse imbalances in the nature, an air pollution monitoring system is utmost important. Some of the pollution monitoring systems in cement factories are WAPMS, AMSVSN and WSN-AQMS. These systems are installed to monitor the emissions of NO2, SO2 and CO2 in air using Wireless Sensor Networks (WSN). These networks allow the physical environment to be measured at any point, and greatly increase the quality of the environment. This paper reviews the existing the air pollution monitoring system based on different methods along with their advantages and disadvantages. The Air pollution monitoring system based hybrid fuzzy genetic algorithm is proposed for efficient air pollution monitoring using WSN. The experimental results are produced and it is compared with the existing system such as WAPMS, AMSVSN and WSN-AQMS. The simulation results shows that performance of the proposed methodology is better than the existing one. © Research India Publications.