Optimal tracking interval for predictive tracking in wireless sensor network

Author

Guo, Zhen ; Zhou, MengChu ; Zakrevski, Lev

Author_Institution

Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA

Volume

9

Issue

9

fYear

2005

fDate

9/1/2005 12:00:00 AM

Firstpage

805

Lastpage

807

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.

Keywords

object detection; optimisation; prediction theory; tracking; wireless sensor networks; moving objects tracking; optimization; power efficiency; prediction-based technique; quantitative method; wireless sensor network; Energy consumption; Intelligent networks; Monitoring; Object detection; Optimization methods; Prediction algorithms; Sampling methods; Target tracking; Terrorism; Wireless sensor networks;

fLanguage

English

Journal_Title

Communications Letters, IEEE

Publisher

ieee

ISSN

1089-7798

Type

jour

DOI

10.1109/LCOMM.2005.1506709

Filename

1506709