Three-dimensional Localization Algorithm for WSN Nodes Based on Hybrid RSSI and DV-Hop

Aiming at the low localization accuracy of wireless sensor network (WSN) nodes with large-scale low-density anchor nodes, a three-dimensional localization algorithm for WSN nodes that mix RSSI and DV-Hop is proposed. Firstly, the genetic tabu numerical optimization hybrid algorithm (GANV) is proposed to solve the problems that the numerical optimization algorithm is easy to fall into local optimum solution, and the genetic tabu algorithm has poor local searchability to obtain the global optimization solution. Secondly, RSSI ranging technology is introduced into the node location part of the DV-Hop algorithm combined with RSSI, and the GANV algorithm solves the initial value. Finally, in the RSSI location algorithm combined with DV-Hop, the location problem of each node is reduced to an unconstrained nonlinear non-convex optimization problem. After the initial value is input, it is solved by the GANV algorithm, and the location estimation is obtained after eliminating outliers by the clustering algorithm. Simulation results show that compared with the traditional node location algorithm in WSN, this algorithm has high location accuracy and is very suitable for large-scale WSN engineering applications with low real-time requirements and high location accuracy requirements. © 2022, Journal of Network Intelligence. All rights reserved.