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Low-Complexity Localization and Tracking in Hybrid Wireless Sensor Networks
Joint Authors
Savioli, A.
Goldoni, E.
Kianoush, S.
Gamba, Paolo
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-08-23
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Electronic engineering
Information Technology and Computer Science
Abstract EN
Localization in Wireless Sensor Networks (WSNs) is an important research topic: readings come from sensors scattered in the environment, and most of applications assume that the exact position of the sensors is known.
Due to power restrictions, WSN nodes are not usually equipped with a global positioning system—hence, many techniques have been developed in order to estimate the position of nodes according to some measurements over the radio channel.
In this paper, we propose a new technique to track a moving target by combining distance measurements obtained from both narrowband IEEE 802.15.4 and Ultrawideband (UWB) radios, and then exploiting a novel speed-based algorithm for bounding the error.
This process is applied to a real dataset collected during a measurement campaign, and its performance is compared against a Kalman filter.
Results show that our algorithm is able to track target path with good accuracy and low computational impact.
American Psychological Association (APA)
Kianoush, S.& Goldoni, E.& Savioli, A.& Gamba, Paolo. 2012. Low-Complexity Localization and Tracking in Hybrid Wireless Sensor Networks. ISRN Sensor Networks،Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-471638
Modern Language Association (MLA)
Kianoush, S.…[et al.]. Low-Complexity Localization and Tracking in Hybrid Wireless Sensor Networks. ISRN Sensor Networks No. 2012 (2012), pp.1-7.
https://search.emarefa.net/detail/BIM-471638
American Medical Association (AMA)
Kianoush, S.& Goldoni, E.& Savioli, A.& Gamba, Paolo. Low-Complexity Localization and Tracking in Hybrid Wireless Sensor Networks. ISRN Sensor Networks. 2012. Vol. 2012, no. 2012, pp.1-7.
https://search.emarefa.net/detail/BIM-471638
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-471638