Target Tracking in Clusters of Sensor Networks via Handoff Scheme with Extended Kalman Filter

Author

Wang, Luke K. ; Hsieh, Shan-Chin ; Huang, Kou-Yuan ; Wu, Chien-Chang

Author_Institution

Dept. of Electr. Eng., Nat. Kaohsiung Univ. of Appl. Sci., Kaohsiung, Taiwan

fYear

2009

fDate

12-14 Sept. 2009

Firstpage

446

Lastpage

449

Abstract

The algorithm for moving target tracking in clusters of sensor networks is presented. The aim of the proposed architecture is suitable for large-scale area tracking; the technique is based on received signal strength indication (RSSI) and time of arrival (TOA) measurements. Here we use the extended Kalman filter (EKF) to estimate the moving target´s trajectory by TOA measurement. The handoff decision is executed on clusters of sensor networks, being switching through RSSI measurements. The simulation results show that our proposed technique is effective and practical.

Keywords

Kalman filters; target tracking; time-of-arrival estimation; wireless sensor networks; Kalman filter; moving target tracking algorithm; received signal strength indication; time of arrival measurement; wireless sensor network; Area measurement; Clustering algorithms; Computer networks; Covariance matrix; Equations; Intelligent networks; Intelligent sensors; Signal processing; Target tracking; Trajectory; Extended kalman filter; Handoff scheme; Sensor network;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Information Hiding and Multimedia Signal Processing, 2009. IIH-MSP '09. Fifth International Conference on

Conference_Location

Kyoto

Print_ISBN

978-1-4244-4717-6

Electronic_ISBN

978-0-7695-3762-7

Type

conf

DOI

10.1109/IIH-MSP.2009.167

Filename

5337609