A General theory of Signal Integration for Fault-Tolerant Dynamic Distributed Sensor Networks

Abstract

The computational issues related to information integration in multisensor systems and distributed sensor networks has become an active area of research. In recent years a number of significant advances in the field of sensor integration have been made. This interest in the development of Distributed Sensor Networks (DSNs) for information gathering has partly emerged because of (a) the availability of new technology which makes the DSNs economically feasible to implement and (b) the increasing complexity of today's information gathering tasks to which they are applied. From a computational veiwpoint, the efficient extraction of information from noisy and fault signals emanating from many sensors requires the solution of problems related to (a) the architecture and fault-tolerance of the distributed sensor network, (b) the proper synchronisation of sensor signals, (c) the integration of information to keep the communication and the processing requirements small, and (d) the design of efficient computational techniques to abstractly represent and integrate sensor information

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1993
Accession Number
ADA270316

Entities

People

  • B. J. Jones
  • Sundaraja Sitharama Iyengar

Organizations

  • Louisiana State University

Tags

Communities of Interest

  • Sensors

DTIC Thesaurus Topics

  • Algorithms
  • Computational Complexity
  • Computer Science
  • Computers
  • Detectors
  • Equations
  • Fault Tolerance
  • Information Processing
  • Information Theory
  • Mathematics
  • Networks
  • Nonlinear Systems
  • Sensor Networks
  • Signal Processing
  • Theoretical Computer Science
  • Wireless Sensor Networks

Fields of Study

  • Computer science
  • Engineering

Readers

  • Parallel and Distributed Computing.
  • Sensor Fusion and Tracking Systems.
  • Systems Analysis and Design