Smart City Gnosys
Smart city article details
| Title | Iot Based Indoor Object Location Tracking Solution |
|---|---|
| ID_Doc | 33667 |
| Authors | Bari M.A.; Geok T.K.; Sayeed M.S.; Hossen M.I.; Min P.P. |
| Year | 2022 |
| Published | 2022 10th International Conference on Information and Communication Technology, ICoICT 2022 |
| DOI | http://dx.doi.org/10.1109/ICoICT55009.2022.9914869 |
| Abstract | Internet of Things (IoT) is enhancing the pleasant of present-day life. IoT-based objects tracking is a crying need for a smart indoor environment. In the age of smart cities, there are many applications in which indoor localization can be used for monitoring and tracking objects inside smart buildings. This research study is based on the development of a robust real-time system capable of localizing and tracking objects accurately. Global Positioning Systems (GPS) are typically used for outdoor localization because of their ease of implementation and accuracy of up to five meters. Because of the limited space and the many obstacles in indoor environments, GPS is not an appropriate option for overcoming those obstacles. Thus, tracking objects in an indoor environment is a major challenge, both in terms of accuracy and efficiency. The main objective of this research is to design and develop an IoT-based effective solution for tracking the location of objects indoors using the fingerprinting technique. There are some existing applications for tracking objects in indoor localization. Those existing indoor location tracking technologies' reported pitfalls are expensive infrastructure, high connectivity, and less accuracy. Therefore, we have come up with this proposed algorithm to solve those problems. The proposed approach has the potential to estimate the position and track objects very accurately indoors. The proposed algorithm is applied in two different indoor location simulations. The proposed method has been implemented and experiments have been conducted. Experiment results demonstrate that the proposed approach works very well with wi-fi/LTE collected data. © 2022 IEEE. |
| Author Keywords | Fingerprinting; GPS; Indoor Location; IoT; RSSI; Tracking |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
4261  | 0.912 | 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) |
| 31239 | 0.893 | 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) |
| 5286 | 0.889 | Bhatia G.; Jain N. | A Survey On Localization In Internet Of Things: Techniques, Approaches, Technologies And Challenges | Proceedings of International Conference on Computational Intelligence and Sustainable Engineering Solution, CISES 2022 (2022) |
| 23826 | 0.873 | Karibasappa R.; Kumar A. | Enhancing Indoor Visible Light Localization Accuracy Through Hybrid Fingerprint-Knn Scheme In Iot-Enabled Smart Cities | 2024 5th IEEE Global Conference for Advancement in Technology, GCAT 2024 (2024) |
| 53758 | 0.869 | Ghorpade S.; Zennaro M.; Chaudhari B. | Survey Of Localization For Internet Of Things Nodes: Approaches, Challenges And Open Issues | Future Internet, 13, 8 (2021) |
| 59422 | 0.869 | 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) |
| 34038 | 0.855 | Yusoff S.S.; Yunus N.H.M.; Sampe J.; Nadzirin H. | Iot-Based Wearable Device For Position Tracking And Visualization | SpringerBriefs in Applied Sciences and Technology, Part F3223 (2024) |
| 33735 | 0.854 | Zade N.; Iyer K.R.; Deshpande S.; Vora D.; Henry R.; Pakhmode S.L. | Iot Based Target Tracking System Using Wsn In Smart City Surveillance | 2024 IEEE International Conference on Blockchain and Distributed Systems Security, ICBDS 2024 (2024) |
| 28114 | 0.853 | Moradbeikie A.; Keshavarz A.; Rostami H.; Paiva S.; Lopes S.I. | Gnss-Free Outdoor Localization Techniques For Resource-Constrained Iot Architectures: A Literature Review | Applied Sciences (Switzerland), 11, 22 (2021) |
| 7538 | 0.853 | Muniz J.A.; De Castro Paula R.; De Camargo E.T. | An Angular Position-Based Tracking Algorithm For Geolocation In Smart Cities Applications | Brazilian Symposium on Computing System Engineering, SBESC (2024) |