D
Dapeng Wu
Researcher at University of Florida
Publications - 443
Citations - 12011
Dapeng Wu is an academic researcher from University of Florida. The author has contributed to research in topics: Computer science & Wireless network. The author has an hindex of 47, co-authored 356 publications receiving 10537 citations. Previous affiliations of Dapeng Wu include Carnegie Mellon University & New York University.
Papers
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Journal ArticleDOI
Effective capacity: a wireless link model for support of quality of service
Dapeng Wu,Rohit Negi +1 more
TL;DR: This paper proposes and develops a link-layer channel model termed effective capacity (EC), which first model a wireless link by two EC functions, namely, the probability of nonempty buffer, and the QoS exponent of a connection, and proposes a simple and efficient algorithm to estimate these EC functions.
Journal ArticleDOI
Streaming video over the Internet: approaches and directions
TL;DR: Six key areas of streaming video are covered, including video compression, application-layer QoS control, continuous media distribution services, streaming servers, media synchronization mechanisms, and protocols for streaming media.
Proceedings ArticleDOI
SORI: a secure and objective reputation-based incentive scheme for ad-hoc networks
TL;DR: A secure and objective reputation-based incentive (SORI) scheme to encourage packet forwarding and discipline selfish behavior and a punishment scheme to penalize selfish nodes is proposed.
Journal ArticleDOI
Transporting real-time video over the Internet: challenges and approaches
TL;DR: This paper designs a framework for transporting real-time Internet video, which includes two components, namely, congestion control and error control, and suggests that the synergy of both transport and compression could provide good solutions.
Journal ArticleDOI
Power-rate-distortion analysis for wireless video communication under energy constraints
TL;DR: This paper analyzes the encoding mechanism of typical video coding systems, and develops a parametric video encoding architecture which is fully scalable in computational complexity, using dynamic voltage scaling (DVS), an energy consumption management technology recently developed in CMOS circuits design.