<b>Direct QoE Measurement of Real-Time H.264 Streaming in OLSR-Based MANETs: An ns-3 and FFmpeg Experimental Framework </b><b></b>

Mobile Ad Hoc Networks (MANETs) are infrastructure-less wireless networks in which mobile nodes communicate through multi-hop links. Supporting real-time video transmission in such networks is challenging due to node mobility, dynamic topology, limited bandwidth, and frequent route changes. Among proactive routing protocols, the Optimized Link State Routing (OLSR) protocol is widely used because of its low route acquisition delay, which makes it suitable for delay-sensitive multimedia applications.In this study, a complete experimental evaluation of real-time video transmission over an OLSR-based MANET is presented using the ns-3.41 network simulator under Ubuntu Linux. A pre-encoded H.264 video stream was transmitted over progressively larger network scenarios, starting from small topologies and extending to a dynamic 25-node MANET using the Random Waypoint mobility model. Video quality assessment was performed directly on the received video files using FFmpeg-based tools, without relying on the Evalvid framework.Both Quality of Service (QoS) and Quality of Experience (QoE) metrics were analyzed. The results show that OLSR is capable of delivering real-time video with acceptable visual quality in moderately dense MANET scenarios, achieving average Peak Signal-to-Noise Ratio) PSNR( values of approximately 29.6 dB, Structural Similarity Index)SSIM( values between 0.93 and 0.95, and Mean Opinion Score)MOS( scores ranging from 3.5 to 3.9. This work provides a validated experimental baseline for future research on QoE-aware optimization and adaptive video transmission in MANET environments

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Journal
Basrah Researches Sciences
Published
2025-12-31
DOI
https://doi.org/10.56714/bjrs.51.2.21
Primary Topic
Image and Video Quality Assessment
Type
article
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article

Direct QoE Measurement of Real-Time H.264 Streaming in OLSR-Based MANETs: An ns-3 and FFmpeg Experimental Framework

Ali Amjed Ali Al-Asadi, Hamid Ali Abed AL-Asadi, N. A. M Ahmad Hambali, Hawraa Salim Faron Al-Asadi et al.
Basrah Researches Sciences
Image and Video Quality Assessment
article

Direct QoE Measurement of Real-Time H.264 Streaming in OLSR-Based MANETs: An ns-3 and FFmpeg Experimental Framework

Ali Amjed Ali Al-Asadi, Hamid Ali Abed AL-Asadi, N. A. M Ahmad Hambali, Hawraa Salim Faron Al-Asadi, Rihab Al Seyab
article en

Abstract

Mobile Ad Hoc Networks (MANETs) are infrastructure-less wireless networks in which mobile nodes communicate through multi-hop links. Supporting real-time video transmission in such networks is challenging due to node mobility, dynamic topology, limited bandwidth, and frequent route changes. Among proactive routing protocols, the Optimized Link State Routing (OLSR) protocol is widely used because of its low route acquisition delay, which makes it suitable for delay-sensitive multimedia applications.In this study, a complete experimental evaluation of real-time video transmission over an OLSR-based MANET is presented using the ns-3.41 network simulator under Ubuntu Linux. A pre-encoded H.264 video stream was transmitted over progressively larger network scenarios, starting from small topologies and extending to a dynamic 25-node MANET using the Random Waypoint mobility model. Video quality assessment was performed directly on the received video files using FFmpeg-based tools, without relying on the Evalvid framework.Both Quality of Service (QoS) and Quality of Experience (QoE) metrics were analyzed. The results show that OLSR is capable of delivering real-time video with acceptable visual quality in moderately dense MANET scenarios, achieving average Peak Signal-to-Noise Ratio) PSNR( values of approximately 29.6 dB, Structural Similarity Index)SSIM( values between 0.93 and 0.95, and Mean Opinion Score)MOS( scores ranging from 3.5 to 3.9. This work provides a validated experimental baseline for future research on QoE-aware optimization and adaptive video transmission in MANET environments

Basrah Researches SciencesVol. 51(2)
University of Gloucestershire (GB), University of Basrah (IQ), American University of Technology (LB), Universiti Malaysia Perlis (MY), American University of Science and Technology (LB)
Industry, innovation and infrastructure
Openalex Percentile: Top 34%
Image and Video Quality Assessment
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