Emergent Adaptive Noise Reduction From Communal Cooperation of Sensor Grid

Abstract

In the last decade, the realization of small, inexpensive, and powerful devices with sensors, computers, and wireless communication has promised the development of massive sized sensor networks with dense deployments over large areas capable of high fidelity situational assessments. However, most management models have been based on centralized control and research has concentrated on methods for passing data from sensor devices to the central controller. Most implementations have been small but as it is not scalable, this methodology is insufficient for massive deployments. Here, a specific application of a large sensor network for adaptive noise reduction demonstrates a new paradigm where communities of sensor/computer devices assess local conditions and make local decisions from which emerges a global behaviour. This approach obviates many of the problems of centralized control as it is not prone to single point of failure and is more scalable, efficient robust, and fault tolerant.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2010
Accession Number
ADA564756

Entities

People

  • Douglas M. Nark
  • Kenneth N. Lodding
  • Kennie H. Jones
  • Michael G. Jones

Organizations

  • National Aeronautics and Space Administration

Tags

Communities of Interest

  • Advanced Electronics
  • Autonomy
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Aircraft Engines
  • Aircrafts
  • Communities
  • Computer Networks
  • Cooperation
  • Deployment
  • Detectors
  • Engine Nacelles
  • Military Research
  • Networks
  • Noise
  • Noise Reduction
  • Power Levels
  • Sensor Networks
  • Simulations
  • Situational Awareness
  • Wireless Sensor Networks

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Distributed Systems and Data Platform Development