A cross-layer fragmentation approach to video streaming over mobile ad-hoc network using BATMAN-Adv

Ray, Himadri Sekhar; Bose, Sunanda; Mukherjee, Nandini; Neogy, Sarmistha; Chattopadhyay, Samiran

doi:10.1007/s11042-023-16658-2

Cited by 3 publications

(3 citation statements)

References 17 publications

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“…• The presentation of the data in the form of a video is actually also a backup of the data, because every frame in the video is similar to the frames nearby, and, so, if one frame is damaged or even disappears completely, there are still the neighboring frames that can cover the loss. There is a limit to the loss that can be absorbed; however, if there are only small deficiencies scattered about, they can certainly be overcome [3].…”

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confidence: 99%

Video Compression Prototype for Autonomous Vehicles

Wiseman

2024

Smart Cities

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There are several standards for representing and compressing video information. These standards are adapted to the vision of the human eye. Autonomous cars see and perceive objects in a different way than humans and, therefore, the common standards are not suitable for them. In this paper, we will present a way of adjusting the common standards to be appropriate for the vision of autonomous cars. The focus of this paper will be on the H.264 format, but a similar order can be adapted to other standards as well.

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confidence: 99%

Video Compression Prototype for Autonomous Vehicles

Wiseman

2024

Smart Cities

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“…However, it is important to consider the potential impact of these techniques on the constrained resources of MANET nodes, as well as their compatibility with the devices. Considering this, appropriate compression techniques should be available for most devices and require low computation [27]. Thus, algorithms such as H.264/Advanced Video Codec (AVC) become the most suitable option, due to their efficiency and robust performance [27].…”

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confidence: 99%

“…Considering this, appropriate compression techniques should be available for most devices and require low computation [27]. Thus, algorithms such as H.264/Advanced Video Codec (AVC) become the most suitable option, due to their efficiency and robust performance [27]. This technique offers a balance between quality and file size, without implying additional overhead and redundancy.…”

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confidence: 99%

ML-Enhanced Live Video Streaming in Offline Mobile Ad Hoc Networks: An Applied Approach

Jesús-Azabal,

Soares,

Galán-Jiménez

2024

Electronics

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Live video streaming has become one of the main multimedia trends in networks in recent years. Providing Quality of Service (QoS) during live transmissions is challenging due to the stringent requirements for low latency and minimal interruptions. This scenario has led to a high dependence on cloud services, implying a widespread usage of Internet connections, which constrains contexts in which an Internet connection is not available. Thus, alternatives such as Mobile Ad Hoc Networks (MANETs) emerge as potential communication techniques. These networks operate autonomously with mobile devices serving as nodes, without the need for coordinating centralized components. However, these characteristics lead to challenges to live video streaming, such as dynamic node topologies or periods of disconnection. Considering these constraints, this paper investigates the application of Artificial Intelligence (AI)-based classification techniques to provide adaptive streaming in MANETs. For this, a software-driven architecture is proposed to route stream in offline MANETs, predicting the stability of individual links and compressing video frames accordingly. The proposal is implemented and assessed in a laboratory context, in which the model performance and QoS metrics are analyzed. As a result, the model is implemented in a decision forest algorithm, which provides 95.9% accuracy. Also, the obtained latency values become assumable for video streaming, manifesting a reliable response for routing and node movements.

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Quality of Service (QoS) Motivated Cross-Layer Channel Allocation Scheme

Pandey,

Seth

2024

2024 3rd International Conference for Innovation in Technology (INOCON)

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A cross-layer fragmentation approach to video streaming over mobile ad-hoc network using BATMAN-Adv

Cited by 3 publications

References 17 publications

Video Compression Prototype for Autonomous Vehicles

Video Compression Prototype for Autonomous Vehicles

ML-Enhanced Live Video Streaming in Offline Mobile Ad Hoc Networks: An Applied Approach

Quality of Service (QoS) Motivated Cross-Layer Channel Allocation Scheme

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