Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Research Article Energy-Efficient Transmission of Wavelet-Based Images in Wireless Sensor Networks | Hindawi Publishing Corporation EURASIP Journal on Image and Video Processing Volume 2007 Article ID 47345 11 pages doi 2007 47345 Research Article Energy-Efficient Transmission of Wavelet-Based Images in Wireless Sensor Networks Vincent Lecuire Cristian Duran-Faundez and Nicolas Krommenacker Centre de Recherche en Automatique de Nancy CRAN UMR 7039 Nancy-Universite CNRS Faculte des Sciences et Techniques BP 239 54506 Vandoeuvre les Nancy Cedex France Received 14 August 2006 Revised 15 December 2006 Accepted 22 December 2006 Recommended by James E. Fowler We propose a self-adaptive image transmission scheme driven by energy efficiency considerations in order to be suitable for wireless sensor networks. It is based on wavelet image transform and semireliable transmission to achieve energy conservation. Wavelet image transform provides data decomposition in multiple levels of resolution so the image can be divided into packets with different priorities. Semireliable transmission enables priority-based packet discarding by intermediate nodes according to their battery s state-of-charge. Such an image transmission approach provides a graceful tradeoff between the reconstructed images quality and the sensor nodes lifetime. An analytical study in terms of dissipated energy is performed to compare the self-adaptive image transmission scheme to a fully reliable scheme. Since image processing is computationally intensive and operates on a large data set the cost of the wavelet image transform is considered in the energy consumption analysis. Results show up to 80 reduction in the energy consumption achieved by our proposal compared to a nonenergy-aware one with the guarantee for the image quality to be lower-bounded. Copyright 2007 Vincent Lecuire et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. 1. .
