Research On Indoor Centroid Iterative Location Technology Based On WSN

The rapid development of internet of things technology makes wireless sensor network technology widely used in many fields.As one of the important applications of wireless sensor networks,positioning technology has become a key technology for indoor location services,and it has certain research significance to accurately locate target nodes.In order to reduce the cost of indoor positioning and improve the positioning accuracy,some exploration has been made in indoor positioning algorithm for the optimization and improvement of centroid positioning algorithm.In addition,research and analysis of node positioning algorithm has been carried out in indoor space.Indoor positioning based on ZigBee ranging technology has the advantages of low hardware power consumption,low use cost,and easy implementation,and is widely used in positioning research.In order to improve the accuracy of the ranging,the ranging model based on the received signal strength indicator was studied,and the corresponding relationship between the distance between the nodes and the RSSI and the influence of different environments on the signal attenuation parameters were analyzed.The linear regression method was used to fit the parameters,and the applicable The parameter values and communication distance of the specific positioning environment reduce the ranging error;in order to optimize the node resource configuration,the influence of different anchor node layouts on the positioning result is analyzed,and the node deployment cost is appropriately reduced under the condition of ensuring the positioning accuracy.In order to improve the accuracy of position recognition,this paper proposes a centroid iterative positioning algorithm based on ranging technology.The algorithm uses the centroid coordinates as the initial estimated position,and calculates the distance offset coefficient through the geometric relationship of the nodes in the space,and uses the optimal coefficient The solution revises the initial estimated position,that is,the centroid coordinates,and the corrected coordinates are used as the new estimated position to realize the update of the distance offset coefficient and then the iterative update of the positioning result until the iterative criterion is reached.When selecting the distance offset coefficient,the influence of the coefficient on the positioning result under different statistical characteristics is analyzed and compared,and the algorithm coefficient with higher positioning efficiency is obtained,thereby realizing the improvement of positioning accuracy.The experimental results in actual application scenarios show that the centroid iterative positioning algorithm in this paper has better target location positioning capabilities.The centroid iterative positioning algorithm proposed in this paper can effectively reduce the positioning error.Combined with the parameter settings matching the indoor environment,its comprehensive positioning capability reaches 1.1m,which has a good positioning effect.