Wireless Visual Sensor Network Resource Allocation using Cross-Layer Optimization

Abstract

We propose an approach to manage network resources for a Direct Sequence Code Division Multiple Access (DS-CSMA) visual sensor network where nodes monitor scenes with varying levels of motion. It uses cross-layer optimization across the physical layer, the link layer and the application layer. Our technique simultaneously assigns a source coding rate, a channel coding rate, and a power level to all nodes in the network based on one of two criteria that maximize the quality of video of the entire network as a whole, subject to a constraint on the total chip rate. One criterion results in the minimal average end-to-end distortion amongst all nodes, while the other criterion minimizes the maximum distortion of the network. Our approach allows one to determine the capacity of the visual sensor network based on the number of nodes and the quality of video that must be transmitted. For bandwidth limited applications, one can also determine the minimum bandwidth needed to accommodate a number of nodes with a specific target chip rate.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2009
Accession Number
ADA516577

Entities

People

  • Elizabeth S. Bentley
  • John D. Matyjas
  • Lisimachos P. Kondi
  • Michael J. Medley

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Algorithms
  • Bandwidth
  • Channel Coding
  • Code Division Multiple Access
  • Data Links
  • Detectors
  • Distortion
  • Modulation
  • Multiple Access
  • Networks
  • Optimization
  • Orthogonal Frequency Division Multiplexing
  • Power Levels
  • Probability
  • Sensor Networks
  • Sequences

Fields of Study

  • Computer science

Readers

  • Neural Network Machine Learning.
  • Operations Research
  • Radio communications and signal processing.