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Cited 2 time in webofscience Cited 5 time in scopus
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Object tracking based on the prediction of trajectory in wireless sensor networks

Authors
Shen Y.[Shen Y.]Kim K.T.[Kim K.T.]Park J.C.[Park J.C.]Youn H.Y.[Youn H.Y.]
Issue Date
2014
Keywords
face topology; least square method; object tracking; prediction-based; wireless sensor network
Citation
Proceedings - 2013 IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 2013 IEEE International Conference on Embedded and Ubiquitous Computing, EUC 2013, pp.2317 - 2324
Journal Title
Proceedings - 2013 IEEE International Conference on High Performance Computing and Communications, HPCC 2013 and 2013 IEEE International Conference on Embedded and Ubiquitous Computing, EUC 2013
Start Page
2317
End Page
2324
URI
https://scholarworks.bwise.kr/skku/handle/2021.sw.skku/57739
DOI
10.1109/HPCC.and.EUC.2013.333
Abstract
Wireless sensor network has been used for many years, and a great number of schemes and applications have been developed based on it. Object tracking is one of key tasks which are required in a number of applications of WSN. In this paper we propose an efficient prediction-based object tracking scheme employing the face network topology. The proposed scheme uses the trajectory of the object and enhanced least square method to predict the path. Computer simulation reveals that the proposed scheme improves the tracking accuracy and energy efficiency compared to the existing prediction-based scheme. The improvement gets more significant as the moving speed of the object becomes higher. © 2013 IEEE.
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Computing and Informatics > Computer Science and Engineering > 1. Journal Articles
Social Sciences > Department of Political Science and Diplomacy > 1. Journal Articles

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