DocumentCode :
2557009
Title :
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
Link To Document :
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