Semantic information fusion for coordinated signal processing in mobile sensor networks

D. S. Friedlander, Shashi Phoha

Research output: Contribution to journalArticle

30 Citations (Scopus)

Abstract

Distributed cognition of dynamic processes is commonly observed in mobile groups of animates like schools of fish, hunting lions, or in human teams for sports or military maneuvers. This paper presents methods for dynamic distributed cognition using an ad hoc mobile network of microsensors to detect, identify and track targets in noisy environments. We develop off-line algorithms for aggregating the most appropriate knowledge abstractions into semantic information, which is then used for on-line fusion of relevant attributes observed by local clusters in the sensor network. Local analysis of time series of sensor data yields aggregated semantic information, which is exchanged across nodes for higher level distributed cognition. This eliminates the need for exchanging high volumes of signal data and, thus reduces bandwidth and energy requirements for battery powered microsensors.

Original languageEnglish (US)
Pages (from-to)235-241
Number of pages7
JournalInternational Journal of High Performance Computing Applications
Volume16
Issue number3
DOIs
StatePublished - Jan 1 2002

Fingerprint

Mobile Sensor Networks
Microsensors
Information fusion
Information Fusion
Cognition
Sensor networks
Signal Processing
Wireless networks
Signal processing
Semantics
Mobile ad hoc networks
Sports
Fish
Time series
Dynamic Process
Mobile Ad Hoc Networks
Bandwidth
Battery
Military
Sensor Networks

All Science Journal Classification (ASJC) codes

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture

Cite this

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Semantic information fusion for coordinated signal processing in mobile sensor networks. / Friedlander, D. S.; Phoha, Shashi.

In: International Journal of High Performance Computing Applications, Vol. 16, No. 3, 01.01.2002, p. 235-241.

Research output: Contribution to journalArticle

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