Energy-Efficient Node Selection for Target Tracking in Wireless Sensor Networks
Joint Authors
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
2013-01-21
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Telecommunications Engineering
Information Technology and Computer Science
Abstract EN
Saving energy while preserving accuracy is of paramount importance to target tracking in wireless sensor networks.
This paper presents an energy-efficient selection of cooperative nodes.
In the proposed method, the target detection probability is estimated by single-node processing based on particle filter.
Then, an objective function for collaborative target tracking in wireless sensor networks is constructed according to the information utility and the remaining energy of sensor nodes.
With this understanding, a dynamic node selection scheme based on genetic algorithms is proposed, which can optimize the tradeoff between the accuracy of tracking and the energy cost of nodes.
Simulations demonstrate its superior performance in estimating the target location and saving sensor nodes energy.
American Psychological Association (APA)
Wang, Yong& Wang, Dianhong. 2013. Energy-Efficient Node Selection for Target Tracking in Wireless Sensor Networks. International Journal of Distributed Sensor Networks،Vol. 2013, no. -, pp.1-6.
https://search.emarefa.net/detail/BIM-501607
Modern Language Association (MLA)
Wang, Yong& Wang, Dianhong. Energy-Efficient Node Selection for Target Tracking in Wireless Sensor Networks. International Journal of Distributed Sensor Networks Vol. 2013, pp.1-6.
https://search.emarefa.net/detail/BIM-501607
American Medical Association (AMA)
Wang, Yong& Wang, Dianhong. Energy-Efficient Node Selection for Target Tracking in Wireless Sensor Networks. International Journal of Distributed Sensor Networks. 2013. Vol. 2013, no. -, pp.1-6.
https://search.emarefa.net/detail/BIM-501607
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-501607