An energy-efficient approach for real-time tracking of moving objects in multi-level sensor networks

S. Tseng*, Eric H.C. Lu, Kawuu W. Lin

*Corresponding author for this work

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

5 Scopus citations

Abstract

In this paper, we propose a new approach for efficient and real-time tracking of the moving objects in sensor networks by mining the movement log. In our approach, we first conduct the hierarchical clustering to form a hierarchical model for the sensor nodes. Secondly, the movement logs of the moving objects are analyzed by a data mining algorithm to obtain the movement rules, which are then used to predict the next position of a moving object. Besides, we use the multi-level structure to represent the hierarchical relations among sensors so as to achieve the goal of keeping track of moving objects in real-time. Through experimental evaluation on various simulation conditions, the proposed method is shown to deliver excellent performance in terms of both energy efficiency and timeliness.

Original languageEnglish
Title of host publicationProceedings - 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
Pages305-310
Number of pages6
DOIs
StatePublished - 1 Dec 2005
Event11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications - Hong Kong, China
Duration: 17 Aug 200519 Aug 2005

Publication series

NameProceedings - 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications

Conference

Conference11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
CountryChina
CityHong Kong
Period17/08/0519/08/05

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