Alpha-beta filter based target tracking in clustered wireless sensor networks

Author

Sharma, Surendra ; Deshpande, Sarang ; Sivalingam, Krishna M.

Author_Institution

Dept. of Comput. Sci. & Eng., Indian Inst. of Technol. Madras, Chennai, India

fYear

2011

fDate

4-8 Jan. 2011

Firstpage

1

Lastpage

4

Abstract

The emerging field of wireless sensor networks (WSNs) allows novel methods of designing surveillance and tracking systems. Tracking moving targets in WSNs is a canonical application of practical importance to military as well as civilian fields. Since WSNs are highly constrained in computation, communication and energy resources, the application is required to be designed with minimal resource consumption. The collaborative and distributed approach in WSN is suited for effective utilization of scarce resources. In this paper, a Hierarchical Clustered network architecture has been considered for target tracking. A computationally simple predictive target tracking approach using α-β filter is proposed, evaluated and compared against a Kalman filter based approach.

Keywords

filtering theory; prediction theory; target tracking; wireless sensor networks; alpha-beta filter; clustered wireless sensor networks; hierarchical clustered network architecture; predictive target tracking; surveillance system; tracking system; Computer architecture; Delay; Kalman filters; Noise; Target tracking; Trajectory; Wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Communication Systems and Networks (COMSNETS), 2011 Third International Conference on

Conference_Location

Bangalore

Print_ISBN

978-1-4244-8952-7

Electronic_ISBN

978-1-4244-8951-0

Type

conf

DOI

10.1109/COMSNETS.2011.5716428

Filename

5716428