QoE-based Cross-Layer Design of Mobile Video Systems: Challenges and Concepts

This chapter introduces a cross-layer approach to wireless/mobile video streaming system design to meet its flexibility and adaptability requirements. On one hand, with the rapid development of wireless/mobile communication infrastructure, wireless video applications are gaining more popularity. On the other hand, there exist many new challenges due to the inherent characteristics of wireless networks and communication systems. This is especially true for video delivery under a stringent time constraint. To address these issues, flexibility and adaptability of communication systems, which are the objectives of cross-layer design, have been extensively studied for performance enhancement. In this chapter, we begin with the motivation of the cross-layer approach, which is needed in response to several challenges of efficient wireless/mobile video streaming. Then, some fundamental issues of the cross-layer design are introduced followed by video-specific system requirements. Furthermore, we examine a couple of cross-layer design ideas proposed in the past. Finally, we consider issues associated with the practical employment along with software simulations, and demonstrate the benefit of the cross-layer approach.

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A cross-layer design for scalable mobile video

Proceedings of the 17th annual international conference on Mobile computing and networking - MobiCom '11 ◽

10.1145/2030613.2030646 ◽

2011 ◽

Cited By ~ 140

Author(s):

Szymon Jakubczak ◽

Dina Katabi

Keyword(s):

Cross Layer ◽

Cross Layer Design ◽

Mobile Video

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Cross layer design with extensive virtual MIMO: FS-MUP optimization model for wireless sensor network

Journal of High Speed Networks ◽

10.3233/jhs-200645 ◽

2020 ◽

pp. 1-16

Author(s):

Monali Prajapati ◽

Dr. Jay Joshi

Keyword(s):

Wireless Sensor Network ◽

Sensor Network ◽

Multiple Input Multiple Output ◽

Wireless Sensor ◽

Cross Layer ◽

Cross Layer Design ◽

Virtual Mimo ◽

Proposed Model ◽

Multiple Input ◽

Input Multiple Output

In the wireless sensor network (WSN), wireless communication is said to be the dominant power-consuming operation and it is a challenging one. Virtual Multiple-Input–Multiple-Output (V-MIMO) technology is considered to be the energy-saving method in the WSN. In this paper, a novel multihop virtual MIMO communication protocol is designed in the WSN via cross-layer design to enhance the energy efficiency, reliability, and end-to-end (ETE) and Quality of Service (QoS) provisioning. On the basis of the proposed protocol, the optimal set of parameters concerning the transmission and the overall consumed energy by each of the packets is found. Furthermore, the modeling of ETE latency and throughput of the protocol takes place with respect to the bit-error-rate (BER). A novel hybrid optimization algorithm referred as Flight Straight Moth Updated Particle Swarm Optimization (FS-MUP) is introduced to find the optimal BER that meets the QoS, ETE requirements of each link with lower power consumption. Finally, the performance of the proposed model is evaluated over the extant models in terms of Energy Consumption and BER as well.

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A Novel Mobile Video Community Discovery Scheme Using Ontology-Based Semantical Interest Capture

Mobile Information Systems ◽

10.1155/2016/5279425 ◽

2016 ◽

Vol 2016 ◽

pp. 1-12 ◽

Cited By ~ 1

Author(s):

Ruiling Zhang ◽

Shengwu Xiong

Keyword(s):

Network Virtualization ◽

Estimation Algorithm ◽

Mobile Video ◽

Mobile Nodes ◽

Community Discovery ◽

Video Sharing ◽

Video Systems ◽

Estimate Method ◽

Common Interests ◽

Word Selection

Leveraging network virtualization technologies, the community-based video systems rely on the measurement of common interests to define and steady relationship between community members, which promotes video sharing performance and improves scalability community structure. In this paper, we propose a novel mobile Video Community discovery scheme using ontology-based semantical interest capture (VCOSI). An ontology-based semantical extension approach is proposed, which describes video content and measures video similarity according to video key word selection methods. In order to reduce the calculation load of video similarity, VCOSI designs a prefix-filtering-based estimation algorithm to decrease energy consumption of mobile nodes. VCOSI further proposes a member relationship estimate method to construct scalable and resilient node communities, which promotes video sharing capacity of video systems with the flexible and economic community maintenance. Extensive tests show how VCOSI obtains better performance results in comparison with other state-of-the-art solutions.

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