DocumentCode :
1413728
Title :
A Predictive Energy-Efficient Technique to Support Object-Tracking Sensor Networks
Author :
Samarah, Samer ; Al-Hajri, Muhannad ; Boukerche, Azzedine
Author_Institution :
Dept. of Comput. Inf. Syst., Yarmouk Univ., Irbid, Jordan
Volume :
60
Issue :
2
fYear :
2011
Firstpage :
656
Lastpage :
663
Abstract :
In recent years, we have witnessed an increasing interest in deploying wireless sensor networks (WSNs) for real-life applications. However, before WSNs become a commodity, several challenging issues remain to be resolved. Object-tracking sensor network (OTSN)-based applications are widely viewed as being among the most interesting applications of WSNs. OTSN is mainly used to track certain objects in a monitored area and to report their location to the application´s users. However, OTSNs are well known for their energy consumption when compared with other WSN applications. In this paper, we propose a prediction-based tracking technique using sequential patterns (PTSPs) designed to achieve significant reductions in the energy dissipated by the OTSNs while maintaining acceptable missing rate levels. PTSP is tested against basic tracking techniques to determine the appropriateness of PTSP under various circumstances. Our experimental results have shown that PTSP outperforms all the other basic tracking techniques and exhibits significant amounts of savings in terms of the entire network´s energy consumption.
Keywords :
energy conservation; energy consumption; object tracking; wireless sensor networks; PTSP; WSN; energy consumption; object tracking; predictive energy efficient technique; wireless sensor networks; Data mining; object tracking; wireless sensor networks (WSNs);
fLanguage :
English
Journal_Title :
Vehicular Technology, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9545
Type :
jour
DOI :
10.1109/TVT.2010.2102375
Filename :
5676238
Link To Document :
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