Network Structures for Distributed Situation Assessment

Abstract

This report investigates potential organizations for automated distributed sensor networks (DSN's), i.e., dispersed nodes that can pool their information to perform accurate situation assessment. Laboratory experiments using a message puzzle task indicate that an 'anarchic committee' organization, in which all nodes communicate with one another, consistently outperforms the 'dynamic hierarchical cone' organization, in which communications is constrained and information must be obtained only from lower-level nodes. These experiments support the contention that DSNs must emphasize cooperative problem-solving rather than problem reduction or subgoaling. A computer-based design that minimizes redundant communications in hierarchical organizations by using model- based reasoning to form expectations that guide, limit, and reduce reporting frequency is described. Finally, a method for representing hypotheses to minimize communication requirements--the process assembly network--is suggested. This concept uses active 'hypotheses processes' that are responsible for predicting their own evolution over time.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1980
Accession Number
ADA089386

Entities

People

  • C. Stasz
  • C. Sunshine
  • Frederick Hayes-roth
  • J. Burge
  • R. Wesson

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Artificial Intelligence
  • Channel Capacity
  • Communication Channels
  • Computer Programs
  • Computers
  • Data Processing
  • Detectors
  • Hierarchies
  • Identification
  • Information Processing
  • Organizational Structure
  • Sensor Networks
  • Signal Processing
  • Simulations
  • Spectral Lines
  • Wireless Sensor Networks

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Computer Networking