A dynamic lookahead tree based tracking algorithm for wireless sensor networks using particle filtering technique

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dc.contributor.authorAlaybeyoglu A.
dc.contributor.authorKantarci A.
dc.contributor.authorErciyes K.
dc.date.accessioned2024-07-22T08:17:17Z
dc.date.available2024-07-22T08:17:17Z
dc.date.issued2014
dc.description.abstractIn this study, five different algorithms are provided for tracking targets that move very fast in wireless sensor networks. The first algorithm is static and clusters are formed initially at the time of network deployment. In the second algorithm, clusters that have members at one hop distance from the cluster head are provided dynamically. In the third algorithm, clustered trees where members of a cluster may be more than one hop distance from the cluster head are provided dynamically. In the fourth, algorithm lookahead trees are formed along the predicted trajectory of the target dynamically. Linear, Kalman and particle filtering techniques are used to predict the target's next state. The algorithms are compared for linear and nonlinear motions of the target against tracking accuracy, energy consumption and missing ratio parameters. Simulation results show that, for all cases, better performance results are obtained in the dynamic lookahead tree based tracking approach. © 2013 Elsevier Ltd. All rights reserved.
dc.identifier.DOI-ID10.1016/j.compeleceng.2013.06.014
dc.identifier.issn00457906
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/17022
dc.language.isoEnglish
dc.publisherElsevier Ltd
dc.subjectAlgorithms
dc.subjectCommunication
dc.subjectEnergy Consumption
dc.subjectForestry
dc.subjectSensors
dc.subjectSignals
dc.subjectEnergy utilization
dc.subjectForestry
dc.subjectMonte Carlo methods
dc.subjectSignal filtering and prediction
dc.subjectTarget tracking
dc.subjectTrees (mathematics)
dc.subjectWireless sensor networks
dc.subjectBetter performance
dc.subjectHop distance
dc.subjectNetwork deployment
dc.subjectNon-linear motions
dc.subjectParticle Filtering
dc.subjectTracking accuracy
dc.subjectTracking algorithm
dc.subjectTracking approaches
dc.subjectClustering algorithms
dc.titleA dynamic lookahead tree based tracking algorithm for wireless sensor networks using particle filtering technique
dc.typeArticle

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