Study On The Coverage Of Adaptive Wireless Sensor Network Based On Trust And The Research In LUR Model

Land Use Regression model is a hot spot in the environmental science field in recent years.This model has lots of advantages,such as its wide range of application,accurate simulation and a high spatial resolution and it has been confirmed for the Simulation the spatial distribution of atmospheric pollutants and the epidemiologic study.But in the process of the model application,there are still some problems like the insufficient in the data collection that hinder the development of LUR model.In this paper,we choose the Chang Sha as the research area.We model based on the geographical elements of common feature variables,and especially consider joining the wind direction.Considering the wind speed had a great influence on atmospheric pollutants transmission of space,we creat ively divided different buffer for different sites,then build the semicircular-buffer-based(SCBB)and the circular-buffer-based(CBB)model.The experimental analysis demonstrated that the SCBB model which proposed by us can be better explain the spatial distribution of atmospheric pollutants.Through the analysis of the spatial interpolation,we can see the experimental results are in agreement with real distributions.Therefore,it proves the SCBB model is of value.In view of the existing problems in the LUR model,this paper deployment the node by self-organizing network.We do the theoretical research with the WSN coverage optimization,and try to get the maximum coverage as far as possible.Considering the real application environment of the WSN,we come up with a algorithm that based on the trust model.The experiment results show that the method we proposed can be more safe and reliable than the traditional optimization algorithm,and it can be more adapt to different environment.