Research AOA Location Algorithm And Three-Dimensional Path Planning Method For Wireless Sensor Networks

Recently,wireless sensor networks has a wide applications in different domain such as environmental monitoring and protection,target tracking,military reconnaissance.In many applications,sensor location is one of the most essential information of context.Due to the deployment nodes of WSN have the property of random,large and limited power.Most of locating algorithms are aimed to improve accuracy and reduce cost.This paper has two primary sections.The first part present a quadratic curve fitting AOA algorithm based on RSS and improve the locating accuracy.The second part is design an Path Planning Of Aerial Beacon Assisted Localization In Three-dimensional Wireless Sensor Network,reduces the energy consumption of the location methods,improve the efficiency of the location system.Many wireless positioning applications speculate the angle of arrival(AOA)through spinning the directional antenna.However,the positional accuracy of this method in sparse sample and flexible environment is not very high.In the lobe curve reduction experiment of the directional antenna,it is found that the lobe curve nearby the maximum received signal strength(RSS)is similar to the curve of the second degree.Depending on this fact,this paper puts forward the AOA positioning algorithm fitting based on RSS curve of the second degree,which fits the quadratic curve equation with the data nearby the maximum RSS and estimates AOA with the maximum and minimum points of the curvilinear equation.The experimental result indicates that: this algorithm can keep good positioning precision in sparse sample and flexible environment,and the average angle and position error of experiments in real environment are 2.5 degrees and 0.28 m respectively.Comparing with RAL positioning algorithm,both the angle and position precision are increased by 70%.Three-dimensional localization methods take a major role in many WSN applications but usually have high complexity and cost.The method based on mobile(aerial)beacon assisted three-dimensional localization is relatively cost-saving.This method's fundamental problem is moving path planning and the challenge is find the best moving path.To overcome the challenge,a novel three-dimensional mobile planning method is proposed,which is simple implementation and short path.The method is based on the basic requirements of the travel path for three-dimensional localization,and just at two planes of the three-dimensional deployment area two-dimensional scanning.3D SCAN,3D DOUBLE SCAN,3D HILBERT,3D CIRCLES,3D S-CURVES and 3D LMAT is a typical implementation of the method.The typical path simulation results of Three-dimensional localization show that,the three-dimensional movement path design of method can meet the requirements of three-dimensional localization.