RSSI-Based Smooth Localization for Indoor Environment
Radio frequency (RF) technique, for its better penetrability over traditional techniques such as infrared or ultrasound, is widely used for indoor localization and tracking. In this paper, three novel measurements, point decision accuracy, path matching error and wrong jumping ratio, are firstly def...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
|
| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/639142 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832561025461780480 |
|---|---|
| author | Yujian Wang Bin Zhao Zhaohui Jiang |
| author_facet | Yujian Wang Bin Zhao Zhaohui Jiang |
| author_sort | Yujian Wang |
| collection | DOAJ |
| description | Radio frequency (RF) technique, for its better penetrability over traditional techniques such as infrared or ultrasound, is widely used for indoor localization and tracking. In this paper, three novel measurements, point decision accuracy, path matching error and wrong jumping ratio, are firstly defined to express the localization efficiency. Then, a novel RSSI-based smooth localization (RSL) algorithm is designed, implemented, and evaluated on the WiFi networks. The tree-based mechanism determines the current position and track of the entity by assigning the weights and accumulative weights for all collected RSSI information of reference points so as to make the localization smooth. The evaluation results indicate that the proposed algorithm brings better localization smoothness of reducing 10% path matching error and 30% wrong jumping ratio over the RADAR system. |
| format | Article |
| id | doaj-art-82ade7c056d04f629ce86780cbb87f84 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-82ade7c056d04f629ce86780cbb87f842025-02-03T01:26:09ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/639142639142RSSI-Based Smooth Localization for Indoor EnvironmentYujian Wang0Bin Zhao1Zhaohui Jiang2IPPFRD, Alcatel-Lucent Shanghai Bell Co. Ltd., Shanghai 201206, ChinaIPPFRD, Alcatel-Lucent Shanghai Bell Co. Ltd., Shanghai 201206, ChinaIPPFRD, Alcatel-Lucent Shanghai Bell Co. Ltd., Shanghai 201206, ChinaRadio frequency (RF) technique, for its better penetrability over traditional techniques such as infrared or ultrasound, is widely used for indoor localization and tracking. In this paper, three novel measurements, point decision accuracy, path matching error and wrong jumping ratio, are firstly defined to express the localization efficiency. Then, a novel RSSI-based smooth localization (RSL) algorithm is designed, implemented, and evaluated on the WiFi networks. The tree-based mechanism determines the current position and track of the entity by assigning the weights and accumulative weights for all collected RSSI information of reference points so as to make the localization smooth. The evaluation results indicate that the proposed algorithm brings better localization smoothness of reducing 10% path matching error and 30% wrong jumping ratio over the RADAR system.http://dx.doi.org/10.1155/2014/639142 |
| spellingShingle | Yujian Wang Bin Zhao Zhaohui Jiang RSSI-Based Smooth Localization for Indoor Environment The Scientific World Journal |
| title | RSSI-Based Smooth Localization for Indoor Environment |
| title_full | RSSI-Based Smooth Localization for Indoor Environment |
| title_fullStr | RSSI-Based Smooth Localization for Indoor Environment |
| title_full_unstemmed | RSSI-Based Smooth Localization for Indoor Environment |
| title_short | RSSI-Based Smooth Localization for Indoor Environment |
| title_sort | rssi based smooth localization for indoor environment |
| url | http://dx.doi.org/10.1155/2014/639142 |
| work_keys_str_mv | AT yujianwang rssibasedsmoothlocalizationforindoorenvironment AT binzhao rssibasedsmoothlocalizationforindoorenvironment AT zhaohuijiang rssibasedsmoothlocalizationforindoorenvironment |