Enhancing indoor positioning service for location based internet of things (IoT): a source selecting approach with error compensation
This paper presents an enhanced model to handle the radio-frequency (RF) signal to provide a real-time indoor localization service in a practical manner. This model is using the Bluetooth Low Energy (BLE) beacons as the RF signal for indoor localization service. The fingerprinting approach, Received...
| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/65354/ http://psasir.upm.edu.my/id/eprint/65354/1/65354.pdf |
| _version_ | 1848855260294021120 |
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| author | Chui, Yew Leong Perumal, Thinagaran Yaakob, Razali Kwan, Wei Peng |
| author_facet | Chui, Yew Leong Perumal, Thinagaran Yaakob, Razali Kwan, Wei Peng |
| author_sort | Chui, Yew Leong |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | This paper presents an enhanced model to handle the radio-frequency (RF) signal to provide a real-time indoor localization service in a practical manner. This model is using the Bluetooth Low Energy (BLE) beacons as the RF signal for indoor localization service. The fingerprinting approach, Received Signal Strength Indicator (RSSI) is used to cut-down the cost of implementation and the accuracy can be further improved with more BLE beacons installed. The RSSI technique applied will be further improved with signal selecting algorithm to determine the right reference points for positioning service. An error compensation algorithm also will be applied to eliminate the false signal which will affect the system's accuracy. This proposed model includes implementation of enhanced RSSI technique with error compensation algorithm to determine the position of users or targeted objects with correct reference points to improve the positioning result. |
| first_indexed | 2025-11-15T11:22:56Z |
| format | Conference or Workshop Item |
| id | upm-65354 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T11:22:56Z |
| publishDate | 2017 |
| publisher | IEEE |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-653542018-10-08T02:25:17Z http://psasir.upm.edu.my/id/eprint/65354/ Enhancing indoor positioning service for location based internet of things (IoT): a source selecting approach with error compensation Chui, Yew Leong Perumal, Thinagaran Yaakob, Razali Kwan, Wei Peng This paper presents an enhanced model to handle the radio-frequency (RF) signal to provide a real-time indoor localization service in a practical manner. This model is using the Bluetooth Low Energy (BLE) beacons as the RF signal for indoor localization service. The fingerprinting approach, Received Signal Strength Indicator (RSSI) is used to cut-down the cost of implementation and the accuracy can be further improved with more BLE beacons installed. The RSSI technique applied will be further improved with signal selecting algorithm to determine the right reference points for positioning service. An error compensation algorithm also will be applied to eliminate the false signal which will affect the system's accuracy. This proposed model includes implementation of enhanced RSSI technique with error compensation algorithm to determine the position of users or targeted objects with correct reference points to improve the positioning result. IEEE 2017 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/65354/1/65354.pdf Chui, Yew Leong and Perumal, Thinagaran and Yaakob, Razali and Kwan, Wei Peng (2017) Enhancing indoor positioning service for location based internet of things (IoT): a source selecting approach with error compensation. In: 2017 IEEE 21st International Symposium on Electronics (ISCE 2017), 14-15 Nov. 2017, Universiti Putra Malaysia. (pp. 52-55). 10.1109/ISCE.2017.8355546 |
| spellingShingle | Chui, Yew Leong Perumal, Thinagaran Yaakob, Razali Kwan, Wei Peng Enhancing indoor positioning service for location based internet of things (IoT): a source selecting approach with error compensation |
| title | Enhancing indoor positioning service for location based internet of things (IoT): a source selecting approach with error compensation |
| title_full | Enhancing indoor positioning service for location based internet of things (IoT): a source selecting approach with error compensation |
| title_fullStr | Enhancing indoor positioning service for location based internet of things (IoT): a source selecting approach with error compensation |
| title_full_unstemmed | Enhancing indoor positioning service for location based internet of things (IoT): a source selecting approach with error compensation |
| title_short | Enhancing indoor positioning service for location based internet of things (IoT): a source selecting approach with error compensation |
| title_sort | enhancing indoor positioning service for location based internet of things (iot): a source selecting approach with error compensation |
| url | http://psasir.upm.edu.my/id/eprint/65354/ http://psasir.upm.edu.my/id/eprint/65354/ http://psasir.upm.edu.my/id/eprint/65354/1/65354.pdf |