Research And Application Of Air Pollution Source Localization Algorithm Based On Wireless Sensor Network

Along with the rapid development of economics, the environmental problem is increasingly prominent in our country, especially the continuous haze weather in recent years, which seriously affects people’s health and life, and cause great importance to it.Then strengthen the monitoring and control the environment pollution become particularly important. Therefore, this paper aims to study the tracking and localization algorithm based on wireless sensor network, in order to achieve the purpose of effective monitoring and control the air pollution sources.Combined with the characteristics of wireless sensor networks, the characteristics of the high pollution source in the 3D space are studied, and a method of four dimensional tracking is designed, which is suitable for the high level of the 3D space. The algorithm uses the strategy of tracking as well as correcting which according to the concentration information collected in the course of tracking, and the algorithm can choose the direction of travel at any time, consequently, it has a high tracking flexibility. Later, the algorithm was improved by using the double information of wind direction and concentration of pollutants as tracing basis, it effectively avoid the direction lost or roundabout circling of the intelligent mobile sensor in the process, and improve the efficiency and success rate of tracking.According to the characteristics of nature is capable of tracking information to find the target quickly, it imitates the spouse moths tracking behavior, the paper constructs the tracking algorithm on atmospheric pollution source based on bionic olfactory, it from the macro level to grasp the tracking process, and combine the line with the plane to track the location of pollution sources. The first tracking slope is determined by the characteristics of pollutant dispersion model, and the highest concentration of the slope is obtained, and then the tracking direction is converted at the point, then using the horizontal line to trace method, until track down to the next slope, and repeat the process,at last, get the source of pollution. Through Matlab simulation, we can see the algorithm has a higher tracking efficiency and success rate.Finally, the tracking efficiency and success rate of the two algorithms are compared,and the tracking algorithm based on the bionic sense of smell in the whole tracking process is slightly dominant.