Localization is a crucial method applied in Wireless Sensor Networks (WSNs) to determine the geographic position of the sensor nodes in the sensing region. Many existing WSNs applications require location awareness of sensor nodes. Global Positioning System (GPS) is a well-known technique of localization. However, as a WSN is composed of thousands of sensor nodes, the installation of GPS is not available at every node. Nowadays, many localization algorithms are developed to solve the location awareness problem. The Distance Vector-Hop algorithm (DV-Hop) is a well-known technique thanks to its simplicity and its accurate localization results for WSNs. However, the DV-Hop presents some localization accuracy drawbacks. In this paper, we propose an improvement of the DV-Hop algorithm based on Tikhonov regularization method for wireless sensors networks. We verify the validity of the proposed method through experiments. Simulation results confirm that the proposed localization algorithm is better than the original DV-Hop algorithm and some of its improved algorithms with up to 60% in terms of localization accuracy.

定位是无线传感器网络（WSN）中用于确定传感区域中传感器节点地理位置的关键方法。许多现有的 WSN 应用程序需要传感器节点的位置感知。全球定位系统（GPS）是一种众所周知的定位技术。然而，由于 WSN 由数千个传感器节点组成，因此并非每个节点都可以安装 GPS。如今，许多定位算法被开发来解决位置感知问题。距离向量跳算法（DV-Hop）是一种众所周知的技术，因为它的简单性和对 WSN 的准确定位结果。然而，DV-Hop 存在一些定位精度缺陷。在本文中，我们提出了一种基于 Tikhonov 正则化方法的无线传感器网络 DV-Hop 算法的改进。我们通过实验验证了所提出方法的有效性。仿真结果证实，所提出的定位算法优于原DV-Hop算法及其一些改进算法，定位精度高达60%。