Object tracking by mining movement trajectories in wireless sensor networks

Tzung Shi Chen, Chen Han Wu, Jen-Jee Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Most of the recent research on Object Tracking Sensor Networks has focused on collecting all data from the entire sensor network and placing it into the sink, which delivers the predicted locations to the corresponding nodes in order to predict an object's movement. This collection method affects the freshness of the data and creates latency in predicting movement patterns. In addition, due to the great amount of packets being sent and received, the sensor nodes' energy is quickly exhausted. Although this data collection method might result in a higher accuracy rate for prediction, it does not extend the lifetime of the sensor network. In this paper, a distributed method is proposed in using the network structure of convex polygons. These polygons are cooperated to find the trajectories of an object and then these trajectories are used to predict objects' movement. The proposed method, based on Trajectory-tree Construction, should reduce both the storage space of collected trajectories and the time spent on trajectory prediction analysis. Simulations show that the proposed method can reduce the energy consumption of the nodes and can extend the lifetime of the network in efficient.

Original languageEnglish
Title of host publicationIEEE/IFIP NOMS 2014 - IEEE/IFIP Network Operations and Management Symposium
Subtitle of host publicationManagement in a Software Defined World
PublisherIEEE Computer Society
ISBN (Print)9781479909131
DOIs
StatePublished - 1 Jan 2014
EventIEEE/IFIP Network Operations and Management Symposium: Management in a Software Defined World, NOMS 2014 - Krakow, Poland
Duration: 5 May 20149 May 2014

Publication series

NameIEEE/IFIP NOMS 2014 - IEEE/IFIP Network Operations and Management Symposium: Management in a Software Defined World

Conference

ConferenceIEEE/IFIP Network Operations and Management Symposium: Management in a Software Defined World, NOMS 2014
CountryPoland
CityKrakow
Period5/05/149/05/14

Keywords

  • Data Mining
  • Object Tracking
  • Sensor Networks
  • Trajectory
  • Wireless Networks

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  • Cite this

    Chen, T. S., Wu, C. H., & Chen, J-J. (2014). Object tracking by mining movement trajectories in wireless sensor networks. In IEEE/IFIP NOMS 2014 - IEEE/IFIP Network Operations and Management Symposium: Management in a Software Defined World [6838314] (IEEE/IFIP NOMS 2014 - IEEE/IFIP Network Operations and Management Symposium: Management in a Software Defined World). IEEE Computer Society. https://doi.org/10.1109/NOMS.2014.6838314