Wireless Sensor Network Location Based On Improved Distance Vector Algorithm

This article studies the localization of wireless sensor networks depend on an enhanced distance vector algorithm. This article proposes an improved distance vector algorithm for localization in wireless sensor networks.Firstly, this article provides a detailed introduction to the principles and methods of improving the distance vector algorithm. Traditional distance vector algorithms estimate the position of nodes based on distance measurements between nodes, but their accuracy is affected by factors such as ranging errors and uneven node density. In order to enhance the accuracy of localization, this article introduces an enhanced distance vector algorithm, which estimates the position of nodes more accurately by considering factors such as the signal strength of neighboring nodes, node density, and the geometric relationship between node positions. Then, this article describes the implementation process of wireless sensor network localization based on enhanced distance vector algorithm. This algorithm first obtains distance information between nodes through distance measurement technology, and then calculates the position estimation value of nodes based on the signal strength and density of their neighboring nodes. Finally, the final node position estimation result is obtained through iterative correction and adjustment of node positions. Finally, this article summarizes the advantages and application prospects of wireless sensor network localization based on improved distance vector algorithm. The improved distance vector algorithm can improve the accuracy and stability of node localization, reduce localization errors, and provide more reliable location information for the application of wireless sensor networks. This algorithm has broad application potential in fields such as intelligent transportation, environmental monitoring, and the Internet of Things.