A Wireless Detector Network for Three-Dimensional Positioning Using Artificial Neural Networks

In a number of area applications, where measuring data is useless without precise position, Wireless detector networks (WDNs) have been employed. In the literature, numerous positioning strategies have been proposed. However, there hasn't been enough research done on three-dimensional (3D) space positioning. Additionally, localization does not frequently use artificial neural networks. In this paper, we describe an artificial neural network-based 3D positioning solution for wireless detector networks. The approach of 2D positioning utilizing a neural system is expanded in the suggested method to accomplish 3D positioning with ease, localization precision, portability, and Low price. The outcomes of the computation show how well the suggested technique works.