A method for coordinating the distributed transmission of imagery

Research output: Contribution to journalArticle

31 Citations (Scopus)

Abstract

Distributed imaging using sensor arrays is gaining popularity among various research and development communities. A common bottleneck within such an imaging sensor network is the large resulting data load. In applications for which transmission power and/or bandwidth are constrained, this can drastically decrease the sensor network lifetime. We present an algorithm that efficiently exploits inter- and intrasensor correlation for the purpose of power-constrained distributed transmission of sensor-network imagery. Gains in network lifetime up to 114% are obtained when using the suggested algorithm with lossless compression. Our results also demonstrate that when lossy compression is employed, much larger gains are achieved. For example, when a normalized root-mean-squared error of 0.78% can be tolerated in the received measurements, the network lifetime increases by a factor of 2.8, as compared to the (optimized) lossless case.

Original languageEnglish (US)
Pages (from-to)1705-1717
Number of pages13
JournalIEEE Transactions on Image Processing
Volume15
Issue number7
DOIs
StatePublished - Jul 2006

Fingerprint

Network Lifetime
Sensor networks
Sensor Networks
Imaging
Imaging techniques
Lossy Compression
Lossless Compression
Sensor Array
Large Data
Sensor arrays
Power transmission
Mean Squared Error
Research and Development
Bandwidth
Roots
Decrease
Demonstrate
Imagery

Keywords

  • Distributed information systems
  • Energy management
  • Image communication
  • Routing

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Graphics and Computer-Aided Design
  • Software
  • Theoretical Computer Science
  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition

Cite this

A method for coordinating the distributed transmission of imagery. / Dagher, Joseph C.; Marcellin, Michael W; Neifeld, Mark A.

In: IEEE Transactions on Image Processing, Vol. 15, No. 7, 07.2006, p. 1705-1717.

Research output: Contribution to journalArticle

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