Title :
Information-driven dynamic sensor collaboration
Author :
Zhao, Feng ; Shin, Jaewon ; Reich, James
Author_Institution :
Syst. & Practices Lab., Xerox Palo Alto Res. Center, CA, USA
fDate :
3/1/2002 12:00:00 AM
Abstract :
This article overviews the information-driven approach to sensor collaboration in ad hoc sensor networks. The main idea is for a network to determine participants in a "sensor collaboration" by dynamically optimizing the information utility of data for a given cost of communication and computation. A definition of information utility is introduced, and several approximate measures of the information utility are developed for reasons of computational tractability. We illustrate the use of this approach using examples drawn from tracking applications
Keywords :
distributed processing; microsensors; signal processing; target tracking; telecommunication network routing; ad hoc sensor networks; approximate measures; collaborative information processing; collaborative signal processing; communication cost; computation cost; data routing; information driven sensor querying; information utility optimization; information-driven dynamic sensor collaboration; networked microsensors; tracking applications; Collaboration; Computer networks; Costs; Event detection; Fires; Monitoring; Sensor phenomena and characterization; Tin; Vehicle dynamics; Vehicles;
Journal_Title :
Signal Processing Magazine, IEEE