The Path Loss Model Research Of Wireless Communication On Heifang Platform

Debris flow disasters often occur in China,especially in Heifang platform of Yongjng country Gansu province have brought serious damage to lives and economy of local people.In order to reduce the damage,we must attach importance to early warning and monitoring of debris flow.In recent years,WSN develops rapidly and has been widely used in monitoring work of various yields due to it's low cost,low power consumption and fast response.So,the WSN has widely used in early warning of natural disasters such as debris flow.The WSN's accuracy and quality of data transmission is very import to early warning and monitoring.Deployment of network nodes is the one of key factors to ensure the accuracy and quality of data transmission.We analyze the path loss of wireless communication on Heifang platform and get the closest path loss model of this area to find the reasonable position of network nodes and make the network reliable,low-cost and safety.A field experiment was carried out in Heifang platform :collect different experimental data which is different distance and different received height contained 0m,1m and 2m by Zigbee wireless nodes,then optimize the two parameters of Log-norm shadowing model by simulated annealing algorithm which combined with the experimented data and compare with the existing outdoor path loss model.From the results of comparison,we know that the optimized model is more fit for the area.The optimized model derived from the existing outdoor path loss model,in order to find a more accurate model of the platform we build a LSSVM model by simulated annealing algorithm which combined with the experimented data and use Wireless Insite wireless simulation software to carry out modeling and simulation of experimental environment by 3D ray tracing technique.Finally,we compare theoptimized model,LSSVM model,result of simulation and obtain the conclusion that the LSSVM model is the best model.