A Fusion Approach of RSSI and LQI for Indoor Localization System Using Adaptive Smoothers
Joint Authors
Kim, Wooju
Joana Halder, Sharly
Source
Journal of Computer Networks and Communications
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-10-31
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
Due to the ease of development and inexpensiveness, indoor localization systems are getting a significant attention but, with recent advancement in context and location aware technologies, the solutions for indoor tracking and localization had become more critical.
Ranging methods play a basic role in the localization system, in which received signal strength indicator- (RSSI-) based ranging technique gets the most attraction.
To predict the position of an unknown node, RSSI measurement is an easy and reliable method for distance estimation.
In indoor environments, the accuracy of the RSSI-based localization method is affected by strong variation, specially often containing substantial amounts of metal and other such reflective materials that affect the propagation of radio-frequency signals in nontrivial ways, causing multipath effects, dead spots, noise, and interference.
This paper proposes an adaptive smoother based location and tracking algorithm for indoor positioning by making fusion of RSSI and link quality indicator (LQI), which is particularly well suited to support context aware computing.
The experimental results showed that the proposed mathematical method can reduce the average error around 25%, and it is always better than the other existing interference avoidance algorithms.
American Psychological Association (APA)
Joana Halder, Sharly& Kim, Wooju. 2012. A Fusion Approach of RSSI and LQI for Indoor Localization System Using Adaptive Smoothers. Journal of Computer Networks and Communications،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-498285
Modern Language Association (MLA)
Joana Halder, Sharly& Kim, Wooju. A Fusion Approach of RSSI and LQI for Indoor Localization System Using Adaptive Smoothers. Journal of Computer Networks and Communications No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-498285
American Medical Association (AMA)
Joana Halder, Sharly& Kim, Wooju. A Fusion Approach of RSSI and LQI for Indoor Localization System Using Adaptive Smoothers. Journal of Computer Networks and Communications. 2012. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-498285
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-498285