GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Resource-aware secure ECG healthcare monitoring through body sensor networks
IEEE Wireless Communications
Quality-aware bandwidth allocation for scalable on-demand streaming in wireless networks
IEEE Journal on Selected Areas in Communications
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
Low-complexity video coding via power-rate-distortion optimization
Journal of Visual Communication and Image Representation
The Journal of Supercomputing
Energy-aware distributed scheduling for multimedia streaming over Internet of Things
International Journal of Ad Hoc and Ubiquitous Computing
Delay-aware DWT-based image transmission in wireless visual sensor networks
Proceedings of the 19th Brazilian symposium on Multimedia and the web
Journal of Systems Architecture: the EUROMICRO Journal
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Image transmissions in wireless multimedia sensor networks (WMSNs) are often energy constrained. They also have requirement on distortion minimization, which may be achieved through unequal error protection (UEP) based communication approaches. In related literature with regard to wireless multimedia transmissions, significantly different importance levels between image-pixel-position information and image-pixel-value information have not been fully exploited by existing UEP schemes. In this paper, we propose an innovative image-pixel-position information based resource allocation scheme to optimize image transmission quality with strict energy budget constraint for image applications in WMSNs, and it works by exploring these uniquely different importance levels among image data streams. Network resources are optimally allocated cross PHY, MAC and APP layers regarding inter-segment dependency, and energy efficiency is assured while the image transmission quality is optimized. Simulation results have demonstrated the effectiveness of the proposed approach in achieving the optimal image quality and energy efficiency. The performance gain in terms of distortion reduction is especially prominent with strict energy budget constraints and lower image compression ratios.