``"A study on object tracking quality under probabilistic coverage in 
sensor networks"

Shansi Ren, Qun Li, Haining Wang, Xin Chen, and Xiaodong Zhang 

A poster presentation in MobiCom'04, Philadelphia, Pennsylvania, September 26 
- October 1, 2004.   

An extended abstract published in ACM Mobile Computing and Communication 
Review (MC2R), Vol. 9, No. 1, pp. 73-76, January 2005. 

Abstract

Balancing object-tracking quality and network lifetime is a
challenging task in sensor networks. Under probabilistic coverage, we
present an analytical model to investigate object-tracking quality
with respect to various network conditions and sensing scheduling
protocols. The analytical model gives us solid and thorough
understanding on how to maintain object-tracking quality, and on how
to provide optimal sensor deployment and conserve power
consumption. Based on the model, we design three power efficient
sensing protocols. The correctness of our model and the effectiveness
of the proposed scheduling protocols are justified through extensive
simulation experiments.  

Back to the HPCS Main Page at the Ohio State University.