Source Coding Options to Improve HEVC Video Streaming in Vehicular Networks

Abstract

Video delivery in Vehicular Ad-hoc NETworks has a great number of applications. However, multimedia streaming over this kind of networks is a very challenging issue because (a) it is one of the most resource-demanding applications; (b) it requires high bandwidth communication channels; (c) it shows moderate to high node mobility patterns and (d) it is common to find high communication interference levels that derive in moderate to high loss rates. In this work, we present a simulation framework based on OMNeT++ network simulator, Veins framework, and the SUMO mobility traffic simulator that aims to study, evaluate, and also design new techniques to improve video delivery over Vehicular Ad-hoc NETworks. Using the proposed simulation framework we will study different coding options, available at the HEVC video encoder, that will help to improve the perceived video quality in this kind of networks. The experimental results show that packet losses significantly reduce video quality when low interference levels are found in an urban scenario. By using different INTRA refresh options combined with appropriate tile coding, we will improve the resilience of HEVC video delivery services in VANET urban scenarios.

A Simulation Tool for Evaluating Video Streaming Architectures in Vehicular Network Scenarios

“…A preliminary core version of the VDSF-VN framework was used in previous studies, in which various experimental setups were used to test different aspects of the HEVC video encoder. For example, in [41][42][43], we applied techniques such as (i) intra-refresh video coding modes; (ii) frame partitioning (tiles/slices); and (iii) quality of service at the medium access control (MAC) level, in order to reduce the degradation in video quality produced by impairments arising from vehicular transmission. These works present the simulation results in the form of plots and tables provided by the VDSF-VN tool, giving consistent results that are coherent with those provided by other authors in the literature, and as a consequence from different simulation tools.…”

Joint Node Selection and Resource Allocation for Task Offloading in Scalable Vehicle-Assisted Multi-Access Edge Computing

“…The remaining task is to show the convexity of the objective function. Denote the objective function in (11) as Ψ(F), we calculate the second-order derivatives or Hessian matrix ∇ 2 Ψ(F), whose elements are as follows.…”

“…[7][8][9][10] and non-safety applications (e.g., media sharing, infotainment, file transfer, gaming, etc.) [11][12][13]. Not only that, the applications of the IoT can be found in other areas, such as home automation [14], industrial manufacturing [15], environmental monitoring [16], and so on.…”

Performance Evaluation Based on Multi-UAV in Airborne Computer Network System

“…AVENS can also build OMNET++ code automatically based on the LARISSA architecture. OMNET++ is a C++ simulation toolkit and framework that is flexible, modular, and component-based and is designed particularly for the development of network simulators [32] UDP Video Stream data was transmitted but there were obstacles to transmitting small videos. The OMNET++ was chosen so that changes to its specialized modules and frameworks could be made easily.…”