Title: IF-RD optimisation for bandwidth compression in video HEVC and congestion control in wireless networks using dolphin echolocation optimisation with FEC
Authors: B.S. Sunil Kumar
Addresses: GM Institute of Technology, Davangere, Karnataka 577006, India
Abstract: At present, the latest standard for coding the videos is high-efficiency video coding (HEVC) technique. Owing to limitations of wireless channels on time variability and bandwidth, video transmission to multiple mobile users is difficult. Inter frame-rate distortion (IF-RD) is the technique used in this paper, and it provides more clear videos with a reduction in motion signal by compressing bandwidth and enhancing optimisation in HEVC. First, the multi-resolution encoder encodes the video by employing a fusion strategy called IF-RD optimisation strategy. In order to improve performance and achieve noiseless transmission, the forward error correction (FEC) and dolphin echolocation optimisation techniques are integrated. Token-based congestion control (TBCC) reduces messages that are dropped due to congestion in the network. It also provides computation time. By adopting HEVC, the system performs well and achieves better compression in bandwidth and saves better Peak signal-to-noise ratio (PSNR) data rate with no extra time for encoding.
Keywords: video coding; HEVC; high-efficiency video coding; IF-RD; inter frame-rate distortion; optimisation; multi-resolution encoding; structural similarity index; congestion control.
International Journal of Signal and Imaging Systems Engineering, 2018 Vol.11 No.3, pp.151 - 163
Received: 16 Sep 2017
Accepted: 18 Dec 2017
Published online: 24 Jul 2018 *