Efficient Sensor Localization for Indoor Environments Using Classification of Link Quality Patterns
In ubiquitous sensor networks (USN), sensor node localization is normally performed with global positioning system (GPS) or radio signal strength (RSS) between a target node and reference nodes. Because GPS is not available in indoor environments, RSS-based approach is commonly used for indoor local...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-04-01
|
| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2013/701259 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849405390182154240 |
|---|---|
| author | Young-guk Ha Ae-cheoun Eun Yung-cheol Byun |
| author_facet | Young-guk Ha Ae-cheoun Eun Yung-cheol Byun |
| author_sort | Young-guk Ha |
| collection | DOAJ |
| description | In ubiquitous sensor networks (USN), sensor node localization is normally performed with global positioning system (GPS) or radio signal strength (RSS) between a target node and reference nodes. Because GPS is not available in indoor environments, RSS-based approach is commonly used for indoor localization. However, RSS-based approach is hard to be applied to real indoor environments (e.g., home) because of signal interferences with various indoor obstacles such as walls, doors, furniture, and electric appliances. In this paper, we propose an efficient indoor localization method for Zigbee sensor nodes by classifying link quality indicator (LQI) patterns between a target node and multiple reference nodes rather than using calculation with RSS values. And we also present the results of indoor localization experiments in our ubiquitous home network test bed using the proposed localization method. |
| format | Article |
| id | doaj-art-4e409e177eab4df7beb0585afe0389ce |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2013-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-4e409e177eab4df7beb0585afe0389ce2025-08-20T03:36:41ZengWileyInternational Journal of Distributed Sensor Networks1550-14772013-04-01910.1155/2013/701259Efficient Sensor Localization for Indoor Environments Using Classification of Link Quality PatternsYoung-guk Ha0Ae-cheoun Eun1Yung-cheol Byun2 Department of Computer Science & Engineering, Konkuk University, Seoul, Republic of Korea Department of Computer Science & Engineering, Konkuk University, Seoul, Republic of Korea Department of Computer Engineering, Jeju National University, Jeju-si, Jeju, Republic of KoreaIn ubiquitous sensor networks (USN), sensor node localization is normally performed with global positioning system (GPS) or radio signal strength (RSS) between a target node and reference nodes. Because GPS is not available in indoor environments, RSS-based approach is commonly used for indoor localization. However, RSS-based approach is hard to be applied to real indoor environments (e.g., home) because of signal interferences with various indoor obstacles such as walls, doors, furniture, and electric appliances. In this paper, we propose an efficient indoor localization method for Zigbee sensor nodes by classifying link quality indicator (LQI) patterns between a target node and multiple reference nodes rather than using calculation with RSS values. And we also present the results of indoor localization experiments in our ubiquitous home network test bed using the proposed localization method.https://doi.org/10.1155/2013/701259 |
| spellingShingle | Young-guk Ha Ae-cheoun Eun Yung-cheol Byun Efficient Sensor Localization for Indoor Environments Using Classification of Link Quality Patterns International Journal of Distributed Sensor Networks |
| title | Efficient Sensor Localization for Indoor Environments Using Classification of Link Quality Patterns |
| title_full | Efficient Sensor Localization for Indoor Environments Using Classification of Link Quality Patterns |
| title_fullStr | Efficient Sensor Localization for Indoor Environments Using Classification of Link Quality Patterns |
| title_full_unstemmed | Efficient Sensor Localization for Indoor Environments Using Classification of Link Quality Patterns |
| title_short | Efficient Sensor Localization for Indoor Environments Using Classification of Link Quality Patterns |
| title_sort | efficient sensor localization for indoor environments using classification of link quality patterns |
| url | https://doi.org/10.1155/2013/701259 |
| work_keys_str_mv | AT younggukha efficientsensorlocalizationforindoorenvironmentsusingclassificationoflinkqualitypatterns AT aecheouneun efficientsensorlocalizationforindoorenvironmentsusingclassificationoflinkqualitypatterns AT yungcheolbyun efficientsensorlocalizationforindoorenvironmentsusingclassificationoflinkqualitypatterns |