Smart City Gnosys

Smart city article details

Title	Rssi And Machine Learning-Based Indoor Localization Systems For Smart Cities
ID_Doc	47119
Authors	Rathnayake R.M.M.R.; Maduranga M.W.P.; Tilwari V.; Dissanayake M.B.
Year	2023
Published	Eng, 4, 2
DOI	http://dx.doi.org/10.3390/eng4020085
Abstract	The rapid expansion of the Internet of Things (IoT) and Machine Learning (ML) has significantly increased the demand for Location-Based Services (LBS) in today’s world. Among these services, indoor positioning and navigation have emerged as crucial components, driving the growth of indoor localization systems. However, using GPS in indoor environments is impractical, leading to a surge in interest in Received Signal Strength Indicator (RSSI) and machine learning-based algorithms for in-building localization and navigation in recent years. This paper aims to provide a comprehensive review of the technologies, applications, and future research directions of ML-based indoor localization for smart cities. Additionally, it examines the potential of ML algorithms in improving localization accuracy and performance in indoor environments. © 2023 by the authors.
Author Keywords	algorithms; localization; machine learning; RSSI; smart cities

Similar Articles

Id	Similarity	Authors	Title	Published
47118	0.957	Rathnayake R.M.M.R.; Maduranga M.W.P.; Dissanayake M.B.	Rssi And Machine Learning-Based Indoor Localization Systems For Smart Cities	7th SLAAI - International Conference on Artificial Intelligence, SLAAI-ICAI 2023 (2023)
57348	0.933	Maduranga M.W.P.; Lakmal H.K.I.S.; Kalansooriya L.P.	Three-Dimensional Wireless Indoor Localization With Machine Learning Algorithms For Location-Based Iot Applications	Communications in Computer and Information Science, 1995 (2024)
31239	0.896	Varma P.S.; Anand V.	Indoor Localization For Iot Applications: Review, Challenges And Manual Site Survey Approach	2021 IEEE Bombay Section Signature Conference, IBSSC 2021 (2021)
59422	0.883	Kerdjidj 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 Learning	IEEE Access, 12 (2024)
4261	0.88	Basri C.; Elkhadimi A.	A Review On Indoor Localization With Internet Of Things	International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 44, 4/W3 (2020)
4638	0.876	Dogan D.; Dalveren Y.; Kara A.; Derawi M.	A Simplified Method Based On Rssi Fingerprinting For Iot Device Localization In Smart Cities	IEEE Access, 12 (2024)
30684	0.875	Alsmadi L.; Kong X.; Sandrasegaran K.	Improve Indoor Positioning Accuracy Using Filtered Rssi And Beacon Weight Approach In Ibeacon Network	Proceedings - 2019 19th International Symposium on Communications and Information Technologies, ISCIT 2019 (2019)
35715	0.874	Jain C.; Sashank G.V.S.; Venkateswaran N.; Markkandan S.	Low-Cost Ble Based Indoor Localization Using Rssi Fingerprinting And Machine Learning	2021 International Conference on Wireless Communications, Signal Processing and Networking, WiSPNET 2021 (2021)
45937	0.874	Chen B.; Ma J.; Zhang L.; Zhou J.; Fan J.; Lan H.	Research Progress Of Wireless Positioning Methods Based On Rssi	Electronics (Switzerland), 13, 2 (2024)
35618	0.872	Ingabire W.; Larijani H.; Gibson R.M.	Lora Rssi Based Outdoor Localization In An Urban Area Using Random Neural Networks	Intelligent Computing - Proceedings of the 2021 Computing Conference (2021)