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Title of Journal: Knowl Inf Syst

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Abbravation: Knowledge and Information Systems

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Springer London

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0219-3116

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A hybrid scheme for energyefficient object tracki

Authors: MingHua Hsieh Kawuu W Lin Vincent S Tseng
Publish Date: 2012/09/15
Volume: 36, Issue: 2, Pages: 359-384
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Abstract

Energy saving is a critical issue in many sensornetworkbased applications Among the existing sensornetworkbased applications the surveillance application has attracted extensive attention Object tracking in sensor networks OTSNs is a typical surveillance application Previous studies on energy saving for OTSNs can be divided into two main approaches 1 improvements in hardware design to lower the energy consumption of attached components and 2 improvements in software to predict the movement of objects In this paper we propose a novel scheme namely hybrid tracking scheme HTS for tracking objects with energy efficiency The scheme consists of the two parts 1 adaptive schedule monitoring and 2 a recovery mechanism integrated with seamless temporal movement patterns and seedingbased flooding to relocate missing objects with the purpose of saving energy Furthermore we also propose a frequently visited periods mining algorithm which discovers the corresponding frequently visited periods for adaptive schedule monitoring efficiently from the visitation information of sensor nodes To decrease the number of sensor nodes activated in flooding a seedingbased flooding mechanism is first proposed in our work Empirical evaluations of various simulation conditions and real datasets show that the proposed HTS delivers excellent performance in terms of energy efficiency and low missing rates

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