repository
A Resource and Energy Aware Image Compression Scheme for Wireless Multimedia Sensor Networks(WMSNs)
- Alternative Title
- Muhammad Ikram
- Author(s)
- Muhammad.lkram
- Alternative Author(s)
- Muhammad Ikram
- Department
- 일반대학원 컴퓨터공학과
- Publisher
- The Graduate School, Ajou University
- Publication Year
- 2010-02
- Language
- eng
- Alternative Abstract
- The availability of inexpensive hardware such as CMOS cameras and microphones has fostered the development of Wireless Multimedia Sensor Networks (WMSNs). In WMSNs, wirelessly interconnected devices enable to ubiquitously retrieve multimedia contents such as video and audio streams, and still images along with scalar data from surroundings for wide range of applications are constrained by processing, memory, and energy resources. Image compression via low-complexity and resource eficient transforms has been addressed by several researchers to prolong network lifetime where energy conservation is achieved through sharing computational load among sensor nodes and by adjusting the transmission ranges of camera nodes. However, those scheme are not adaptive to the presences and changes of energy-level of computational sensor nodes and to the amount of computational load. In this master degree thesis, we propose a resource and energy eficient distributed image compression algorithm that dynamically con_x000C_gures according to the energy-levels of computational nodes and the forwarding strategy that is based on the entropy of the image. The simulation results show that our adaptive distributed image compression scheme signi_x000C_cantly prolong the network lifetime and improve network utilization eficiency, while maintaining adequate image quality.
- Fulltext
- Appears in Collections:
- Graduate School of Ajou University > Department of Computer Engineering > 3. Theses(Master)
- Files in This Item:
- There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.
-
- License
- STATISTICS
- Total Visit :3,765,346
- Total Download :1,819
- Today View :1,847
