Convex Optimization
Visual-based embedding systems with targeted secret disclosures and applications
International Journal of Ad Hoc and Ubiquitous Computing
Proxy caching for video-an-demand using flexible starting point selection
IEEE Transactions on Multimedia
Scalable video multicast using expanding window fountain codes
IEEE Transactions on Multimedia - Special issue on quality-driven cross-layer design for multimedia communications
Context-Aware Middleware for Multimedia Services in Heterogeneous Networks
IEEE Intelligent Systems
Cross-layer QoS-aware communication for ultra wide band wireless multimedia sensor networks
IEEE Journal on Selected Areas in Communications
A systematic framework for dynamically optimizing multi-user wireless video transmission
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
Ginga-NCL: declarative middleware for multimedia IPTV services
IEEE Communications Magazine
A privacy and delegation-enhanced user authentication protocol for Portable Communication Systems
International Journal of Ad Hoc and Ubiquitous Computing
Peer-to-Peer Video-On-Demand service in NUWeb
International Journal of Ad Hoc and Ubiquitous Computing
Media- and TCP-friendly congestion control for scalable video streams
IEEE Transactions on Multimedia
Digital Image Tracing by Sequential Multiple Watermarking
IEEE Transactions on Multimedia
IEEE Transactions on Multimedia
IEEE Transactions on Multimedia
Cross-Layer Optimized Multipath Routing for Video Communications in Wireless Networks
IEEE Journal on Selected Areas in Communications
On Distributed Multimedia Scheduling With Constrained Control Channels
IEEE Transactions on Multimedia
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The support for multi-user multi-source multimedia streams in Internet of Things IoT requires an optimal distributed scheduling scheme, ascertaining the reasonable links for transmitting each stream with QoS requirements. Moreover, since IoT is energy-sensitive, therefore, energy saving is a critical issue for IoT. In this paper, we investigate the combination of the energy saving and distributed scheduling in a united convex optimisation formulation and propose energy-aware distributed scheduling scheme based on cross-layer design. We first develop an energy-aware distortion model which describes both the distortion resulting from the coder and transmission. Then, an optimal distributed scheduling scheme is realised by adapting the transmission rate with the transmission range and minimising the overall energy consumption. Moreover, extensive simulations are provided, which demonstrate the effectiveness of our proposed energy-aware distributed scheduling in the context of IoT.