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

Authors:
Shansi Ren;Qun Li;Haining Wang;Xin Chen;Xiaodong Zhang
Affiliations:
College of William and Mary, Williamsburg, VA;College of William and Mary, Williamsburg, VA;College of William and Mary, Williamsburg, VA;College of William and Mary, Williamsburg, VA;College of William and Mary, Williamsburg, VA
Venue:
ACM SIGMOBILE Mobile Computing and Communications Review
Year:
2005

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Abstract

Sensor networks are used for a wide range of object tracking applications, such as vehicle tracking in military surveillance and wild animal tracking in habitat monitoring [1]. These applications, by their nature, enforce certain tracking quality and lifetime requirements. These two requirements, however, are two conflicting optimization goals due to the stringent energy constraints of sensor nodes.