Energy efficient object tracking in sensor networks by mining temporal moving patterns

S. Tseng, Kawuu W. Lin, Ming Hua Hsieh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

Object tracking sensor networks (OTSNs) have received extensive attentions for researches in recent years due to the wide applications. One important research issue in OTSNs is the energy saving strategy in considering the limited power of sensor nodes. The past studies on energy saving in OTSNs usually considered the movement behavior of objects as randomness. However, in some real applications, the object movement behavior often carries certain patterns instead of randomness completely. In this paper, we propose an efficient data mining algorithm named TMP-Mine with a special data structure named TMP-Tree for efficiently discovering the temporal movement patterns of objects in sensor networks. Moreover, we propose novel location prediction strategies that employ the discovered temporal movement patterns so as to reduce the prediction errors for energy saving. Through empirical evaluation on simulated, TMP-Mine and the proposed prediction strategies are shown to deliver excellent performance in terms of scalability, accuracy and energy efficiency.

Original languageEnglish
Title of host publication2008 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing, SUTC 2008
Pages170-176
Number of pages7
DOIs
StatePublished - 9 Sep 2008
Event2008 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing, SUTC 2008 - Taichung, Taiwan
Duration: 11 Jun 200813 Jun 2008

Publication series

NameProceedings - IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing

Conference

Conference2008 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing, SUTC 2008
CountryTaiwan
CityTaichung
Period11/06/0813/06/08

Keywords

  • Data mining
  • Location prediction
  • Object tracking
  • Sensor networks
  • Temporal movement patterns

Fingerprint Dive into the research topics of 'Energy efficient object tracking in sensor networks by mining temporal moving patterns'. Together they form a unique fingerprint.

Cite this