Smart City Gnosys
Smart city article details
| Title | Improve Indoor Positioning Accuracy Using Filtered Rssi And Beacon Weight Approach In Ibeacon Network |
|---|---|
| ID_Doc | 30684 |
| Authors | Alsmadi L.; Kong X.; Sandrasegaran K. |
| Year | 2019 |
| Published | Proceedings - 2019 19th International Symposium on Communications and Information Technologies, ISCIT 2019 |
| DOI | http://dx.doi.org/10.1109/ISCIT.2019.8905189 |
| Abstract | Increasing the location accuracy of the Indoor Positioning System (IPS) is an important research area in localization. Utilizing mobile beacons in IPS environment has made localization more accurate and cost-effective. This paper proposes an Filtered RSSI and Beacon Weight Approach (FRBW) based on improved Received Signal Strength Indicator (RSSI) values using a Kalman filter. This algorithm takes both the distance and improved RSSI measurements between beacon nodes into consideration. Kalman filter applied on the RSSI measurements that eliminate noise of the signal and then applied on FRBW positioning algorithm. The proposed algorithm was applied using eight beacons. The results show that this FRBW approach has better positioning accuracy and minimum location error, and can be applied in IoT applications in smart city. © 2019 IEEE. |
| Author Keywords | beacon; Bluetooth Low Energy; FRBW; Indoor positioning; IoT; IPS; Kalman filter |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
47118  | 0.884 | 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) |
| 47119 | 0.875 | Rathnayake R.M.M.R.; Maduranga M.W.P.; Tilwari V.; Dissanayake M.B. | Rssi And Machine Learning-Based Indoor Localization Systems For Smart Cities | Eng, 4, 2 (2023) |
| 45937 | 0.872 | 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) |
| 30136 | 0.859 | Wang J.; Park J.G. | Ieee 802.11 Wlan Based Indoor Positioning Algorithm Using Weight Grey Prediction Model | Proceedings - 2020 IEEE 22nd International Conference on High Performance Computing and Communications, IEEE 18th International Conference on Smart City and IEEE 6th International Conference on Data Science and Systems, HPCC-SmartCity-DSS 2020 (2020) |
| 31239 | 0.856 | 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) |
| 39200 | 0.855 | Andrews Z.C.; Ngo D.T. | New Wireless Beacon Deployment For Maximum Coverage Efficiency In Indoor Localization | IEEE Sensors Letters, 8, 2 (2024) |