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22047 Distributed push-pull estimation for node localization in wireless sensor networks
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Dang, Viet-Hung and Le, Viet Duc and Lee, Young-Koo and Lee, Sungyoung (2011) Distributed push-pull estimation for node localization in wireless sensor networks. Journal of Parallel and Distributed Computing, 71 (3). pp. 471-484. ISSN 0743-7315 *** ISI Impact 1,320 ***

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Official URL: http://dx.doi.org/10.1016/j.jpdc.2010.07.001

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Abstract

A great deal of research achievements on localization in wireless sensor networks (WSNs) has been obtained in recent years. Nevertheless, its interesting challenges in terms of cost-reduction, accuracy improvement, scalability, and distributed ability design have led to the development of a new algorithm, the Push-pull Estimation (PPE). In this algorithm, the differences between measurements and current calculated distances are modeled into forces, dragging the nodes close to their actual positions. Based on very few known-location sensors or beacons, PPE can pervasively estimate the coordinates of many unknown-location sensors. Each unknown-location sensor, with given pair-wise distances, could independently estimate its own position through remarkably uncomplicated calculations. Characteristics of the algorithm are examined through analyses and simulations to demonstrate that it has advantages over those of previous works in dealing with the above challenges.

Item Type:Article
Research Group:EWI-PS: Pervasive Systems
Uncontrolled Keywords:Distributed Localization, Push-pull Estimation, Virtual Force
ID Code:22047
Status:Published
Deposited On:22 August 2012
Refereed:Yes
International:Yes
ISI Impact Factor:1,320
More Information:statisticsmetis

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