Efficient Sensor Localization for Indoor Environments Using Classification of Link Quality Patterns
Joint Authors
Ha, Young-guk
Eun, Ae-cheoun
Byun, Yung-cheol
Source
International Journal of Distributed Sensor Networks
Issue
Vol. 2013, Issue - (31 Dec. 2013), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-04-24
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Telecommunications Engineering
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Ha, Young-guk& Eun, Ae-cheoun& Byun, Yung-cheol. 2013. Efficient Sensor Localization for Indoor Environments Using Classification of Link Quality Patterns. International Journal of Distributed Sensor Networks،Vol. 2013, no. -, pp.1-6.
https://search.emarefa.net/detail/BIM-491609
Modern Language Association (MLA)
Ha, Young-guk…[et al.]. Efficient Sensor Localization for Indoor Environments Using Classification of Link Quality Patterns. International Journal of Distributed Sensor Networks Vol. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-491609
American Medical Association (AMA)
Ha, Young-guk& Eun, Ae-cheoun& Byun, Yung-cheol. Efficient Sensor Localization for Indoor Environments Using Classification of Link Quality Patterns. International Journal of Distributed Sensor Networks. 2013. Vol. 2013, no. -, pp.1-6.
https://search.emarefa.net/detail/BIM-491609
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-491609