节点定位, 通信过程设计, 虚拟力, 加权质心算法, 鲸鱼优化算法

To solve the problems of insufficient positioning accuracy and high energy consumption of existing mobile anchor node positioning methods in complex network environments, an intelligent dual mobile anchor node positioning algorithm for regional wireless networks is proposed. By calculating network connectivity, it ensures effective information exchange between nodes, providing a fast communication background for positioning operations. In this context, introducing virtual force to push the moving anchor node towards the target position can more accurately estimate the trajectory and position of the moving anchor node. In order to reduce the energy consumption of mobile anchor nodes during the process of virtual force attraction, the DASCAN(Dual mobile Anchor Node Scanning and Coordination Algorithm) algorithm is used for path planning of dual mobile anchor nodes, and the weighted centroid algorithm is used to estimate the approximate position of the target unknown

node. The whale optimization algorithm is further used to improve the positioning accuracy. The experimental results show that the path tracking results of the proposed method are in good agreement with the actual path, and can accurately receive all the position information of unknown nodes, with high positioning accuracy. The energy consumption during the positioning process remains within 0. 25, further proving that the proposed method can effectively improve the accuracy and feasibility of node positioning. This method can ensure the coverage of network node positioning and has high positioning accuracy and efficiency.