Fuzzy-Based 3-D Stream Traffic Lightweighting Over Mobile P2P Network

Zhang, Cong; Cho, Hsin-Hung; Chen, Chi-Yuan; Shih, Timothy K.; Chao, Han Chieh

doi:10.1109/jsyst.2019.2956070

Cited by 7 publications

(2 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Fuzzy logic [20], [21] is an alternative for dynamic resource allocation with a very low complexity compared with reinforcement learning and many other methods [22] while providing satisfactory performances [23], [24], [25]. In particular, [23] studied the MPEG DSAH video streaming system and used fuzzy logic to control the bitrate with the objective of distributing video segments of the best quality, delivering undisrupted video playback, and avoiding frequent changes in video resolution.…”

Section: Fuzzy Logic Empowered Resource Allocationmentioning

confidence: 99%

See 1 more Smart Citation

Fuzzy Logic-Based Adaptive Point Cloud Video Streaming

Liu

Chen

et al. 2020

IEEE Open J. Comput. Soc.

View full text Add to dashboard Cite

Point cloud video provides 6 degrees of freedom (6DoF) viewing experiences to allow users to freely select the viewing angles of 3D scenes and is expected to be the next-generation video. This paper studies the point cloud video streaming and proposes a fuzzy logic-based point cloud video streaming scheme to solve the inherent technical issues. In particular, a point cloud video is first partitioned into smaller tiles, along with a low-quality base layer covering the entire video. Each tile is encoded into different quality levels, and both the compressed and uncompressed (i.e., decoded) versions of each tile are prepared for selection. Then, based on the user's viewing angle and predicted future network bandwidth condition, fuzzy logic empowered quality level selection, with properly defined novel fuzzification, fuzzy rules, and defuzzification, is conducted to maximize the received point cloud video quality under the communication resource, computational resource and quality requirements constraints. Extensive simulations based on real point cloud video sequences and network traces are conducted, and the results reveal the superiority of the proposed scheme over the baseline scheme. To the best of our knowledge, this is the first work studying point cloud video streaming using fuzzy logic.

show abstract

Section: Fuzzy Logic Empowered Resource Allocationmentioning

confidence: 99%

“…[24] extended [23] with more appropriate future bandwidth prediction and bitrate selection. Zhang et al [25] studied fuzzy theory-assisted 3D video streaming over a mobile P2P network.…”

Section: Fuzzy Logic Empowered Resource Allocationmentioning

confidence: 99%