Smart City Gnosys

Smart city article details

Title Improved 3D Wireless Indoor Localization With Deep Learning Algorithms
ID_Doc 30687
Authors Maduranga M.W.P.; Lakmal H.K.I.S.; Tilwari V.; Wanniarachchi W.A.A.M.; Wijayarathne W.M.S.R.B.
Year 2024
Published Signals and Communication Technology, Part F2556
DOI http://dx.doi.org/10.1007/978-3-031-47942-7_19
Abstract This paper presents a novel deep neural network (DNN) approach for indoor localization problems. In this method, we use the received signal strength indicator (RSSI) values representing the distance measurements as the features and train the DNN. However, due to multipath fading, noise, and the limited dynamic range of the RSSI measures, near-optimal 3D localization based on a path-loss model and multiliterate has become highly challenging. To cope with challenges, we will investigate using Gaussian filters with deep learning (DL) algorithms to improve RSSI-based indoor 3D localization. Gaussian filters filter and classify the RSSI data using DNN algorithms under different conditions. We developed and tested seven different neural network (NN) models to provide a comprehensive analysis. In addition, we performed the grid search algorithms to find the best parameters for the model. Consequently, the hyperparameters were tuned, including the batch size, number of epochs, weight initialization mode, and the optimizer, and the results were presented. According to the results, the best accuracy of 96.2% was given by the net_2s, an NN with two hidden layers containing 1024 and 256 neurons in each layer. This accuracy was obtained by training net_2s for 100 epochs with the Adagrad optimizer. The model was trained with a batch size of 4, and uniform weight initialization was used to initialize the network weights before training. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
Author Keywords Deep learning; Indoor localization; Location-based Internet of Things Applications; Smart cities


Similar Articles


Id Similarity Authors Title Published
14554 View0.883Song X.; Fan X.; He X.; Xiang C.; Ye Q.; Huang X.; Fang G.; Chen L.L.; Qin J.; Wang Z.Cnnloc: Deep-Learning Based Indoor Localization With Wifi FingerprintingProceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019 (2019)
57348 View0.881Maduranga M.W.P.; Lakmal H.K.I.S.; Kalansooriya L.P.Three-Dimensional Wireless Indoor Localization With Machine Learning Algorithms For Location-Based Iot ApplicationsCommunications in Computer and Information Science, 1995 (2024)
31246 View0.874He T.; Niu Q.; He S.; Liu N.Indoor Localization With Spatial And Temporal Representations Of Signal SequencesProceedings - IEEE Global Communications Conference, GLOBECOM (2019)
17983 View0.874Alabdullah A.; Al-Hubaishi M.Deep Learning-Enhanced Single Station Wi-Fi Localization For Social Networking In Smart EnvironmentsProceedings of 5th International Conference on Pervasive Computing and Social Networking, ICPCSN 2025 (2025)
31241 View0.873Neupane I.; Shahrestani S.; Ruan C.Indoor Localization Of Resource-Constrained Iot Devices Using Wi-Fi Fingerprinting And Convolutional Neural NetworkACM International Conference Proceeding Series (2024)
59422 View0.872Kerdjidj O.; Himeur Y.; Sohail S.S.; Amira A.; Fadli F.; Atalla S.; Mansoor W.; Copiaco A.; Gawanmeh A.; Miniaoui S.; Dawoud D.Uncovering The Potential Of Indoor Localization: Role Of Deep And Transfer LearningIEEE Access, 12 (2024)
55855 View0.864Malik R.F.; Gustifa R.; Farissi A.; Stiawan D.; Ubaya H.; Ahmad M.R.; Khirbeet A.S.The Indoor Positioning System Using Fingerprint Method Based Deep Neural NetworkIOP Conference Series: Earth and Environmental Science, 248, 1 (2019)
31261 View0.85Chen Y.; Pu Q.; Zhou M.; Yang X.; Lan X.; Long Q.; Fu L.Indoor Wi-Fi Localization Based On Cnn Feature Fusion Network2022 IEEE 10th Asia-Pacific Conference on Antennas and Propagation, APCAP 2022 - Proceedings (2022)