International Conference on Computer and Knowledge Engineering

Home / 15th International Conference on Computer and Knowledge Engineering

HV-RCE: Reducing Network Bandwidth Usage for Video Transmission via HEVC/VVC Features in Resource-Constrained Environments

Authors :

Yaghoub Saberi¹ Mohammadreza Forghani² Sharifeh Sadat Mirkhalaf³

1- Department of Computer Engineering Na.C. , Islamic Azad University, Najafabad ,Iran. 2- Department of Computer Engineering Na.C. , Islamic Azad University, Najafabad ,Iran. 3- Department of Computer Engineering Na.C. , Islamic Azad University, Najafabad ,Iran.

Keywords :

Video Compression،HEVC/VVC،Adaptive Encoding،Bandwidth Optimization،Resource-Constrained Systems

Abstract :

The exponential growth of video data in modern communication systems has made efficient bandwidth usage a critical challenge, particularly in resource-constrained environments such as wireless sensor networks, vehicular ad hoc networks (VANETs), and remote monitoring systems. This paper introduces HV-RCE, a novel framework that reduces network bandwidth consumption for video transmission by leveraging advanced features of HEVC and VVC codecs. HV-RCE employs region-based complexity estimation, content-adaptive encoding, and bandwidth-aware optimization to dynamically adjust encoding parameters such as GOP structure, quantization levels, and coding tools based on real-time analysis of video content, device capabilities, and network conditions. Implemented on low-power platforms like the Raspberry Pi, the proposed method achieves a 35–45% reduction in average bitrate while maintaining or improving video quality (PSNR), lowering energy consumption, and reducing encoding latency compared to baseline approaches. With its modular and adaptive architecture, HV-RCE is well-suited for practical deployment in bandwidth- and resource-limited scenarios such as IoT-based surveillance, mobile edge computing, and smart vehicular systems.