Smart City Gnosys

Smart city article details

Title Understanding Lora-Based Localization: Foundations And Challenges
ID_Doc 59470
Authors Marquez L.E.; Calle M.
Year 2023
Published IEEE Internet of Things Journal, 10, 13
DOI http://dx.doi.org/10.1109/JIOT.2023.3248860
Abstract LoRa is a wireless technology for the Internet of Things useful for smart city applications that require node location for monitoring or management. The literature presents multiple surveys for localization in wireless networks but not a comprehensive analysis regarding LoRa localization. Therefore, this article presents different localization techniques along with the metrics employed. Then, this article presents the challenges that the LoRa technology faces when using these techniques and possible solutions from the literature. Next, this article presents a comparative analysis of the reviewed works with unresolved issues. The results reveal that systems using time as a localization metric exhibit smaller localization error than those using signal levels. However, each method was tested under different conditions. Hence, this article is useful for comparing and selecting a localization system for LoRa in a given work scenario. © 2014 IEEE.
Author Keywords Internet of Things (IoT); Long-Range Wide Area Network (LoRaWAN); positioning; RSS-based techniques; test conditions; time-based techniques; wireless sensor network (WSN)


Similar Articles


Id Similarity Authors Title Published
8927 View0.939Ruan H.; Sun P.; Dong Y.; Tahaei H.; Fang Z.An Overview Of Lora Localization TechnologiesComputers, Materials and Continua, 82, 2 (2025)
24584 View0.902Bonafini F.; Fernandes Carvalho D.; Depari A.; Ferrari P.; Flammini A.; Pasetti M.; Rinaldi S.; Sisinni E.Evaluating Indoor And Outdoor Localization Services For Lorawan In Smart City Applications2019 IEEE International Workshop on Metrology for Industry 4.0 and IoT, MetroInd 4.0 and IoT 2019 - Proceedings (2019)
23856 View0.899Keleşoǧlu N.; Halama M.; Strzoda A.Enhancing Lora-Based Outdoor Localization Accuracy Using Machine LearningIEEE Access (2025)
41631 View0.897Daramouskas I.; Perikos I.; Paraskevas M.; Lappas V.; Kapoulas V.Performance Analysis For Time Difference Of Arrival Localization In Long-Range NetworksSmart Cities, 7, 5 (2024)
36532 View0.895Hao H.; Xi W.; Kuster A.; Gamage A.; Xia X.Mc-Lora: Multi-Node Concurrent Localization For Lorawan Indoors And OutdoorsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 9, 1 (2025)
35965 View0.878Marquez L.E.; Calle M.Machine Learning For Localization In Lorawan: A Case Study With Data AugmentationProceedings - 2022 IEEE Future Networks World Forum, FNWF 2022 (2022)
53758 View0.876Ghorpade S.; Zennaro M.; Chaudhari B.Survey Of Localization For Internet Of Things Nodes: Approaches, Challenges And Open IssuesFuture Internet, 13, 8 (2021)
4970 View0.873Anzum R.; Habaebi M.H.; Islam M.R.; Hakim G.P.N.A Study Of Lora Signal Propagation In Hilly Suburban Area For Smart City Applications2021 IEEE 7th International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2021 (2021)
8776 View0.869Ahmed S.T.; Annamalai A.; Ahmed A.A.; Chouikha M.; Subedi S.; Polanco M.An Ml-Based Location Tracking System For Lora Mesh Networks In Gps-Denied Environments2025 International Conference on Computing, Networking and Communications, ICNC 2025 (2025)
26272 View0.869Astutik R.P.; Winarno H.A.Feasibility Test On The Performance Of Lora Technology Incorporated In The Wireless Sensor NetworkIOP Conference Series: Materials Science and Engineering, 821, 1 (2020)