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Efficient and Adaptive Node Selection for Target Tracking in Wireless Sensor Network
Joint Authors
Feng, Juan
Zhao, Hongwei
Lian, Baowang
Source
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-11-22
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
In target tracking wireless sensor network, choosing the proper working nodes can not only minimize the number of active nodes, but also satisfy the tracking reliability requirement.
However, most existing works focus on selecting sensor nodes which are the nearest to the target for tracking missions and they did not consider the correlation of the location of the sensor nodes so that these approaches can not meet all the goals of the network.
This work proposes an efficient and adaptive node selection approach for tracking a target in a distributed wireless sensor network.
The proposed approach combines the distance-based node selection strategy and particle filter prediction considering the spatial correlation of the different sensing nodes.
Moreover, a joint distance weighted measurement is proposed to estimate the information utility of sensing nodes.
Experimental results show that EANS outperformed the state-of-the-art approaches by reducing the energy cost and computational complexity as well as guaranteeing the tracking accuracy.
American Psychological Association (APA)
Feng, Juan& Zhao, Hongwei& Lian, Baowang. 2015. Efficient and Adaptive Node Selection for Target Tracking in Wireless Sensor Network. Journal of Sensors،Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1110681
Modern Language Association (MLA)
Feng, Juan…[et al.]. Efficient and Adaptive Node Selection for Target Tracking in Wireless Sensor Network. Journal of Sensors No. 2016 (2016), pp.1-9.
https://search.emarefa.net/detail/BIM-1110681
American Medical Association (AMA)
Feng, Juan& Zhao, Hongwei& Lian, Baowang. Efficient and Adaptive Node Selection for Target Tracking in Wireless Sensor Network. Journal of Sensors. 2015. Vol. 2016, no. 2016, pp.1-9.
https://search.emarefa.net/detail/BIM-1110681
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1110681