Research And Improvement Of DV-Hop Algorithm Based On Geometric Brownian Motion Model

At present,Wireless Sensor Network localization algorithm plays an extremely important role in many fields.Whether it is industrial production or disaster relief,WSN has created great economic value for society.With the increasingly close relationship between WSN and human life,the actual working environment of WSN is becoming more and more complex,and there are more and more requirements for positioning accuracy and system anti-interference ability.In order to adapt to the complex working environment and improve the positioning accuracy,this paper proposes an improved DV-Hop positioning algorithm based on Geometric Brownian Motion model.The main research contents of this paper are as follows:Firstly,this paper expounds the research background and significance of this study,and introduces the research status of random mobility model and DV-Hop localization algorithm at home and abroad respectively.Then,the basic calculation methods of indicators and coordinates related to WSN positioning technology are introduced,and different positioning algorithms based on dynamic and static anchor nodes are analyzed,and their advantages and disadvantages are compared.Aiming at the large positioning error of traditional DV-Hop,this paper proposed an improvement from two aspects.Firstly,the minimum hop count was corrected by multi-level stratification of communication radius,and then the average hop distance between nodes was weighted to improve the accuracy of the traditional DV-Hop localization algorithm.Through experimental comparison and analysis,the improved DV-Hop algorithm effectively improves the positioning accuracy compared with the traditional DV-Hop point location algorithm.Aiming at the problem that the traditional localization algorithm based on anchor node cannot obtain the position information of the anchor node as the reference node when the communication is interfered,and then the traditional localization algorithm cannot be used to locate the unknown node.In this paper,based on the Mobile warfighters location prediction DV-Hop algorithm.This paper proposed an improved Geometric Brownian Motion DV-Hop localization algorithm based on GBM model.In the unknown node localization phase of the GBM-Dp algorithm,the proposed improved DV-Hop algorithm was introduced into the location process of the unknown node,instead of using the traditional DV-Hop algorithm in the original MWLP-Dp algorithm to locate the unknown node.Through multiple sets of simulation experiments,the advantages of the proposed algorithm over the MCB algorithm and the improved DV-Hop algorithm-RSSI-Weight-Mass-based DV-Hop localization algorithm are verified.In terms of mobile anchor node localization,the positioning error is increased by 31.42% compared with the MCB algorithm,and the unknown node localization is increased by 3.89% compared with the RWMB-Dp algorithm.The simulation results show that the proposed GBM-Dp algorithm has obvious advantages in positioning accuracy.The comparative experimental analysis also proves that the algorithm proposed in this paper has a significant improvement in positioning accuracy under the influence of different variables,and has a good positioning effect in the case of communication interference.