Short-term prediction-based optimistic object tracking strategy in wireless sensor networks

Jenq Muh Hsu, Chao-Chun Chen, Chia Chi Li

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

6 Citations (Scopus)

Abstract

The advance of wireless sensor networks enables a great amount of applications in various areas, such as biology, military, environment surveillance. Among these applications, the object tracking system is one of killer functions, and has been studied by researchers in recent years. In the design of a sensor network system, the energy consumption is one of the most critical considerations. In this paper, we propose a short-term prediction-based optimistic object tracking (POOT) strategy to reduce energy consumption and prolong the lifetime for sensor nodes by sacrificing only slight tracking precision. Through a set of conducted experiments, our proposed prediction-based optimistic object tracking scheme indeed effectively conserve energy and completely achieve the mission of tracking moving object simultaneously.

Original languageEnglish
Title of host publicationProceedings - 2011 5th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2011
Pages78-85
Number of pages8
DOIs
Publication statusPublished - 2011 Sept 8
Event2011 5th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2011 - Seoul, Korea, Republic of
Duration: 2011 Jun 302011 Jul 2

Publication series

NameProceedings - 2011 5th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2011

Other

Other2011 5th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, IMIS 2011
Country/TerritoryKorea, Republic of
CitySeoul
Period11-06-3011-07-02

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications

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