Spread Spectrum Visual Sensor Network Resource Management Using an End-to-End Cross-Layer Design

Abstract

In this paper, we propose an approach to manage network resources for a direct sequence code division multiple access (DSCDMA) 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 experimental results demonstrate the effectiveness of the cross-layer optimization.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2011
Accession Number
ADA562488

Entities

People

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

Organizations

  • University at Buffalo

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Air Force Research Laboratories
  • Algorithms
  • Channel Coding
  • Code Division Multiple Access
  • Detectors
  • Distortion
  • Electrical Engineering
  • Multiple Access
  • Networks
  • Optimization
  • Packet Loss
  • Power Levels
  • Probability
  • Resource Management
  • Sensor Networks
  • Sequences
  • Spread Spectrum

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Image Processing and Computer Vision.
  • Logistics and Supply Chain Management.