Collaborative multihop transmission of distributed sensor imagery.
We consider a network of imaging sensors. We address the problem of energy-efficient communication of the measurements of the sensors. A novel algorithm is presented for the purpose of exploiting intersensor and intrasensor correlation, which is inherent in a network of imaging sensors. The collaborative algorithm is used in conjunction with a cooperative multihop routing strategy to maximize the lifetime of the network. The algorithm is demonstrated to achieve an average gain in the lifetime as high as 3.2 over previous methods.
Dagher
Joseph C
JC
Department of Electrical and Computer Engineering, College of Optical Sciences, University of arizona, Tucson, Arizona 85721, USA. joseph@ece.arizona.edu
Marcellin
Michael W
MW
Neifeld
Mark A
MA
D000465:Algorithms; D003195:Computer Communication Networks; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D012815:Signal Processing, Computer-Assisted; D014159:Transducers