TY - GEN
T1 - Image component transmissions in wireless sensor network
AU - Wang, Wei
AU - Peng, Dongming
AU - Wang, Honggang
AU - Sharif, Hamid
PY - 2007
Y1 - 2007
N2 - Due to resource constraints, digital image transmissions are a significant challenge for image sensor based Wireless Sensor Networks (WSN). In this paper, we propose a novel robust and energy-efficient scheme, called Image Component Transmission (ICT) in WSN by providing various levels of reliability during image transmissions. Essential components such as the information for the positions of significant wavelet coefficients are transmitted with higher quality assurance. Relatively less important components such as the information for the values of pixels are transmitted with lower overhead. Simulation results show the proposed scheme achieves higher energy efficiency in WSN, with image transmission quality enhanced considerably by up to 6dB in terms of the Peak Signal to Noise Ratio (PSNR).
AB - Due to resource constraints, digital image transmissions are a significant challenge for image sensor based Wireless Sensor Networks (WSN). In this paper, we propose a novel robust and energy-efficient scheme, called Image Component Transmission (ICT) in WSN by providing various levels of reliability during image transmissions. Essential components such as the information for the positions of significant wavelet coefficients are transmitted with higher quality assurance. Relatively less important components such as the information for the values of pixels are transmitted with lower overhead. Simulation results show the proposed scheme achieves higher energy efficiency in WSN, with image transmission quality enhanced considerably by up to 6dB in terms of the Peak Signal to Noise Ratio (PSNR).
UR - http://www.scopus.com/inward/record.url?scp=51849153279&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=51849153279&partnerID=8YFLogxK
U2 - 10.1109/SARNOF.2007.4567351
DO - 10.1109/SARNOF.2007.4567351
M3 - Conference contribution
AN - SCOPUS:51849153279
SN - 1424424836
SN - 9781424424832
T3 - 2007 IEEE Sarnoff Symposium, SARNOFF
BT - 2007 IEEE Sarnoff Symposium, SARNOFF
T2 - IEEE Sarnoff Symposium, SARNOFF 2007
Y2 - 30 April 2007 through 2 May 2007
ER -