The increasing maturity of wireless communication technology and computer software has dramatically reduced the cost of embedded devices with functions such as sensing targets, processing data, and communications and expanded the application scenarios and scale, which has promoted the rapid development of WSN. Moreover, the acquisition of location information of unknown nodes is one of the critical issues that can be studied in wireless sensor networks. Therefore, aiming to solve large-ranging errors caused by uncertain factors in the ranging stage, this paper proposes a sensor network positioning method based on edge coverage control. It can dynamically correct model parameters to improve the performance of the DV-Hop method, integrate RSSI technology and error correction into the corresponding stage of DV-Hop, and make full use of the advantages of RSSI technology in short-distance applications. With the help of the known location information in WSN, the ranging error is reduced while avoiding information redundancy. The performance of DV-Hop can be improved to finally solve the positioning problem when the node deployment is relatively sparse. Simulation verification data show that the improved method can effectively reduce the distance estimation error in the same situation and achieve higher positioning accuracy.

无线通信技术和计算机软件的日益成熟，大大降低了具有传感目标、处理数据、通信等功能的嵌入式设备的成本，扩大了应用场景和规模，促进了无线传感器网络的快速发展。此外，未知节点位置信息的获取是无线传感器网络中可以研究的关键问题之一。因此，针对测距阶段不确定因素造成的大测距误差，本文提出了一种基于边缘覆盖控制的传感器网络定位方法。它可以动态修正模型参数以提高DV-Hop方法的性能，将RSSI技术和纠错集成到DV-Hop的相应阶段，并充分利用RSSI技术在短距离应用中的优势。借助WSN中已知的位置信息，在避免信息冗余的同时减少测距误差。当节点部署比较稀疏时，可以通过提升DV-Hop的性能来最终解决定位问题。仿真验证数据表明，改进方法在相同情况下能够有效降低距离估计误差，实现更高的定位精度。