A method for coordinating the distributed transmission of imagery.
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.
Dagher
Joseph C
JC
Department of Electrical and Computer Engineering and the Optical Sciences Center, The University of Arizona, Tucson 85721, USA. joseph@ece.arizona.edu
Marcellin
Michael W
MW
Neifeld
Mark A
MA
D000465:Algorithms; D003195:Computer Communication Networks; D044962:Data Compression / Q000379:methods*; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D009716:Numerical Analysis, Computer-Assisted; D010781:Photography / Q000379:methods*; D012815:Signal Processing, Computer-Assisted; D014741:Video Recording / Q000379:methods*