An Improved Non-ranging Node Localization Method for Wireless Sensor Networks

Node localization is a fundamental research problem in wireless sensor networks, and the implementation of many applications requires the accurate location of sensor nodes. Currently, among the existing localization algorithms, non-ranging algorithms are a class of algorithms that localize sensor nodes through multi-hop connectivity information between them, and the DV_Hop algorithm is one of the most frequently used algorithms. Although the implementation of DV_Hop algorithm is relatively simple, its location accuracy is low, which is difficult to meet the higher requirements of the application. For this reason, this paper proposes an improved non-ranging node localization method for wireless sensor networks. The proposed algorithm adopts the minimum mean square error criterion to calculate the average hop distance of anchor nodes. On this basis, the distance estimation from unknown node to anchor node is replaced. Finally, a nonlinear iterative approach is used to perform the multilateral localization process. The experimental results show that the localization accuracy and stability of the proposed algorithm are also significantly improved.