Tracking of multiple objects in WSN based on prediction-based profile using GA

Author

Ming-Wei Lu ; Chao-Wen Chan

Author_Institution

Dept. of Comput. Sci. & Inf. Eng., Nat. Taichung Univ. of Sci. & Technol., Taichung, Taiwan

fYear

2012

fDate

26-28 July 2012

Firstpage

1

Lastpage

7

Abstract

Research of object tracking in a wireless sensor network (WSN) has recently been increasing. One of the issues in this area is how to enhance prediction of tracking multiple objects. The proposed scheme improves object tracking prediction, and tracks not only one object but also multiple objects. The proposed scheme codes a profile as a chromosome based on the theory of genetic algorithm (GA), and selects a sufficiently good profile that can improve the prediction of multiple object tracking.

Keywords

genetic algorithms; object tracking; wireless sensor networks; WSN; genetic algorithm; multiple object tracking prediction; prediction based profile; wireless sensor network; Biological cells; Genetics; Monitoring; Radio access networks; Tin; Tracking; Wireless sensor networks; active mode; crossover; energy consumption; fitness value; genetic algorithm; inactive mode; initialization population; multiple objects; mutation; object tracking; prediction accuracy; selection; sensor; sleeping mode;

fLanguage

English

Publisher

ieee

Conference_Titel

Computing Communication & Networking Technologies (ICCCNT), 2012 Third International Conference on

Conference_Location

Coimbatore

Type

conf

DOI

10.1109/ICCCNT.2012.6396027

Filename

6396027