Minimum energy information fusion in sensor networks

Conference · Tue May 11 00:00:00 EDT 1999

OSTI ID:14567

Chapline, G

In this paper we consider how to organize the sharing of information in a distributed network of sensors and data processors so as to provide explanations for sensor readings with minimal expenditure of energy. We point out that the Minimum Description Length principle provides an approach to information fusion that is more naturally suited to energy minimization than traditional Bayesian approaches. In addition we show that for networks consisting of a large number of identical sensors Kohonen self-organization provides an exact solution to the problem of combing the sensor outputs into minimal description length explanations.

• Research Organization: Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
• Sponsoring Organization: USDOE Office of Defense Programs (DP) (US)
• DOE Contract Number: W-7405-ENG-48
• OSTI ID: 14567
• Report Number(s): UCRL-JC-134270; GC0404000; GC0404000; TRN: AH200129%%261
• Resource Relation: Conference: The 2nd International Conference on Information Fusion, Sunnyvale, CA (US), 07/06/1999--07/08/1999; Other Information: PBD: 11 May 1999
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
DIGITAL COMPUTERS
DATA TRANSMISSION
DATA ACQUISITION SYSTEMS
MEMORY MANAGEMENT
INFORMATION DISSEMINATION
COMPUTER NETWORKS