A method for coordinating the distributed transmission of imagery

Joseph C. Dagher; Michael W. Marcellin; Mark A Neifeld

doi:10.1109/TIP.2006.877071

A method for coordinating the distributed transmission of imagery

Joseph C. Dagher, Michael W. Marcellin, Mark A Neifeld

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

31 Scopus citations

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 language	English (US)
Pages (from-to)	1705-1717
Number of pages	13
Journal	IEEE Transactions on Image Processing
Volume	15
Issue number	7
DOIs	https://doi.org/10.1109/TIP.2006.877071
State	Published - Jul 2006

Keywords

Distributed information systems
Energy management
Image communication
Routing

ASJC Scopus subject areas

Software
Computer Graphics and Computer-Aided Design

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10.1109/TIP.2006.877071

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title = "A method for coordinating the distributed transmission of imagery",

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.",

keywords = "Distributed information systems, Energy management, Image communication, Routing",

author = "Dagher, {Joseph C.} and Marcellin, {Michael W.} and Neifeld, {Mark A}",

note = "Funding Information: Manuscript received May 17, 2004; revised September 3, 2005. This work was supported in part by the National Science Foundation under Grant ECS-0225332. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Yucel Altunbasak.",

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doi = "10.1109/TIP.2006.877071",

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AU - Dagher, Joseph C.

AU - Marcellin, Michael W.

AU - Neifeld, Mark A

N1 - Funding Information: Manuscript received May 17, 2004; revised September 3, 2005. This work was supported in part by the National Science Foundation under Grant ECS-0225332. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Yucel Altunbasak.

PY - 2006/7

Y1 - 2006/7

N2 - 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.

AB - 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.

KW - Distributed information systems

KW - Energy management

KW - Image communication

KW - Routing

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A method for coordinating the distributed transmission of imagery

Abstract

Keywords

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