Research On Localization Based On Adaptive Path Planning Method For Anchors

As a kind of new information acquisition and processing technology,wireless sensor networks has been applied in the fields of military,disaster overcoming,environment monitoring,medical care and space discovering.Localization is the basic technology of wireless sensor networks.Data is meaningless for most application without knowing the sensor's position.In traditional localization algorithms,nodes are usually in the stationary state.Considering many specific needs,such as mobile target tracking and localization,wide range of environmental monitoring and so on,mobile sensor networks has some irreplaceable advantages.Thewefore,it is an important theoretical significance and application value to research on localization algorithms for mobile sensor networks.This article mainly focuses on the path planning of the anchors in mobile sensor networks,aims to improve the localization performance through anchors adaptive movement,and reduce the waste of energy and resources.First of all,anchors random movement will get through the sparse density area,causing the waste of energy and resources.Aiming at this problem,a scheme of anchor adaptive path planning method based on the maximum location probability is proposed.This scheme first uses the prior probability distribution to estimate the location probability;then quantitatively analyzes anchor candidate positions of next moment;finally,combining with the moving distance which will inffect on energy consumption,selects the optimal location of anchor.The simulation results show that this method significantly improves the location coverage rate.In addition,concerning the problem of large amount of calculation,a scheme based on threshold is presented.On the premise of high positioning performance,the proposed scheme effectively reduces the amount of calculation,and improves the positioning speed.Secondly,in order to meet the requirements in high precision positioning scenario,this paper presents an anchor path planning scheme based on location information.This scheme takes location accuracy and location coverage rate into consideration at the same time.By calculating the location information value,the scheme determines the optimal anchor location of the next moment.The simulation results show that the schem obtains a relative high positioning coverage rate and improve the positioning precision as well.In addition,considering the high distribution density of anchor,this paper makes a further improvement: a kind of path planning method based on collaboration is presented.By using anchor location information and the motion model,this scheme realizes cooperation and ensures that there will be at least two anchors around the unknown node.Simulation results show that the proposed scheme can be applied in the positioning scenario of sparse node density and meet the positioning requirement.