``Design and analysis of wave sensing scheduling protocols for object-tracking 
applications"  

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

Proceedings of the First International Conference on Distributed Computing 
in Sensor Systems (DCOSS '05), Marina del Rey, California, June 30 - July 1, 
2005. 

Abstract

Many sensor network applications demand tightly-bounded object
detection quality. To meet such stringent requirements, we develop
three sensing scheduling protocols to guarantee worst-case detection
quality in a sensor network while reducing sensing power
consumption. Our protocols emulate a line sweeping through all points
in the sensing field periodically. Nodes wake up when the sweeping
line comes close, and then go to sleep when the line moves forward.
In this way, any object can be detected within a certain period. We
prove the correctness of the protocols and evaluate their performances
by theoretical analyses and simulation.