Optimal tracking interval for predictive tracking in wireless sensor network

Zhen Guo, Mengchu Zhou, Lev Zakrevski

Research output: Contribution to journalArticle

31 Scopus citations

Abstract

An important application of wireless sensor networks is tracking moving objects. Prediction-based techniques have been proposed to reduce the power consumption in wireless sensor networks by limiting the sensor active time. This paper proposes a quantitative method to optimize the power efficiency by analyzing the effect of prediction on the energy consumption in such networks. To our best knowledge, our efforts are the first attempt made to calculate the optimal tracking interval for a given predictive tracking algorithm. Based on this method, the lifetime and power efficiency of a sensor network can be effectively improved.

Original languageEnglish (US)
Pages (from-to)805-807
Number of pages3
JournalIEEE Communications Letters
Volume9
Issue number9
DOIs
StatePublished - Sep 1 2005

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All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Modeling and Simulation

Keywords

  • Lifetime
  • Power efficiency
  • Sensor network
  • Tracking interval

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