QoS-Aware Multicast for Crowdsourced 360° Live Streaming in SDN Aided NG-EPON

Ganesan, Elaiyasuriyan; Liem, Andrew Tanny; Hwang, I‐Shyan

doi:10.1109/access.2022.3144477

Cited by 11 publications

(5 citation statements)

References 35 publications

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“…Integration of SDUAV networking framework with XR applications, therefore, can enhance the performance and capabilities of AR/VR platforms and facilitate the integration of various advanced technologies, allowing for the creation of more sophisticated and capable UAV systems for XR environments [160]. Besides, SDUAV networks can integrate cutting-edge technologies like MEC and AI by using SDN principles to adapt to changing network conditions and maximize their communication performance with a more robust and reliable network for XR applications.…”

Section: Sduav-driven Xrmentioning

confidence: 99%

Software-Defined UAV Networks for 6G Systems: Requirements, Opportunities, Emerging Techniques, Challenges, and Research Directions

Siddiki Abir,

Chowdhury,

Jang

2023

IEEE Open J. Commun. Soc.

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The ever-increasing demand for wireless communication has driven the development of innovative technologies to address the issues that conventional communication networks meet. To support autonomous devices in the sixth-generation (6G) and provide seamless wireless connectivity in inaccessible and hard-to-reach areas, the combination of software-defined networking (SDN) with unmanned aerial vehicles (UAVs) has already shown promises. As the traditional UAV-based cellular network encompasses challenges such as lack of centralized supervision, robust decision-making ability, and dynamic network management, the SDN platform could be an excellent alternative to offer aerial networking for future 6G ecosystem. However, the SDN-assisted UAV paradigm faces a set of challenges and critical issues. For instance, the network management and orchestration, resource allocation and optimization, handover mechanism, spectrum management, energy efficiency, integration of heterogeneous networks, and reliability, thus causing the decrease of quality of services of the SDN-enables UAV networks. To effectively address all these issues and identify the trends of software-defined UAV (SDUAV) networks, more research activities are needed. Unfortunately, there are not any specific guidelines in the literature that address each of these requirements, enabling technologies, emerging techniques, and future research directions in the context of SDN-based UAV networks to enable next-generation 6G systems. Therefore, motivated by this fact, this paper offers a comprehensive evaluation of the state of the SDUAV network and architecture, highlighting its various requirements and different prospects and applications in 6G systems. Besides, this paper also addresses why the combination of SDN and UAV-enabled networks is becoming essential in the 6G networking context and how it can offer more flexibility, scalability, reliability, and efficient connectivity than the conventional approaches to provide features like intelligence, automation, programmability, and centralized controllability. This paper furthermore outlines the difficulties of implementing SDUAV networks, such as security, adaptability, interference management, interoperability, and lack of standardization. Finally, to accomplish the goals, this article provides a roadmap for future trends and research directions in SDUAV networks to support the 6G systems.INDEX TERMS 6G, aerial base station, SDN, SDUAV, UAV-based cellular network. I. INTRODUCTIONThe growing trend of emerging technologies, such as artificial intelligence (AI), augmented reality (AR), virtual reality (VR), extended reality (XR), automated vehicles, electronic health (e-health), cloud computing, Internet of Things (IoT), and Industry 4.0, is culminating a massive amount of data every day [1]. Recently, the International Telecommunication Union (ITU) estimates that traffic volume will be 5016 EB/month, with traffic volume per person reaching 257.1 GB/month [2]. As a result, there will be 97 billion machine-to-machine (M...

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Section: Sduav-driven Xrmentioning

confidence: 99%

Software-Defined UAV Networks for 6G Systems: Requirements, Opportunities, Emerging Techniques, Challenges, and Research Directions

Siddiki Abir,

Chowdhury,

Jang

2023

IEEE Open J. Commun. Soc.

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“…Ganesan et al 29 developed a software‐defined architecture and operational approach for internet‐based live video streaming of virtual reality applications, minimizing network latency. In addition, a new software‐defined multicast system has been introduced to make the creation and execution of P2P live video streaming easier.…”

Section: Related Workmentioning

confidence: 99%

Design of an optimized traffic‐aware routing algorithm using integer linear programming for software‐defined networking

Eissa

Azim

Ata

2023

Int J Communication

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Summary The number of internet users and connected devices has dramatically expanded due to the recent technological boom and the benefits that the internet of things offers to ease our lives. Network scheduling, quality of service, resource allocation, and security issues are now being addressed via software‐defined networking (SDN). SDN has several benefits over traditional networks, including global centralized control, managing network traffic, and separating the forwarding and control plane. The work done in this paper aims to design and implement a traffic‐aware routing framework based on routing optimization presented as an integer linear programming (ILP) to improve heterogeneous traffic flows' quality of service (QoS) in a simulated SDN environment. With the knowledge that the routing problem is a nondeterministic polynomial‐time‐hard problem, the proposed scheme aims to decrease the computational routing time to make the ILP‐based routing system more suitable for real‐time processing. The simulation results illustrate that the proposed framework reduces the computational time by 23% and 49% for Abilene and Goodnet topology, respectively. Additionally, with 1000 flows in the network, the suggested scheme reduces the number of network flows that violate the QoS by 9% and 22% (with Abilene topology) and 16% and 51% (with Goodnet topology) as compared to the existing shortest path delay and sway methods, respectively.

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“…Virtual reality (VR) and augmented reality (AR) technologies offer immersive multimedia experiences, finding applications in gaming, training, and education [2]. The 360-degree video provides interactive and immersive viewing experiences for applications like virtual tours and live events [3], [4]. Live streaming of multimedia content has become prevalent on platforms such as YouTube and Facebook live.…”

Section: Introductionmentioning

confidence: 99%

Congestion and throughput optimization protocol for providing better quality of service and experience

VijayKumar,

Thyagaraj

2024

IJ-AI

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<p>Multimedia traffic in Internet of Things applications is generated for various purposes and encompasses a wide range of multimedia data, including video streams, audio files, images, and sensor data. Network providers employ various strategies to handle multimedia traffic in IoT applications efficiently. But most of these methods have not considered optimizing the RTSP (Real-Time Streaming Protocol), RTP (Real-time Transport Protocol), and RTCP (Real-Time Control Protocol) to improve the throughput and QoS of the IoT applications. Hence, in this Congestion and Throughput Optimization Protocol (CTOP) work, we present a model which optimizes the RTSP, RTP, and RTCP protocol to improve the throughput and QoS. The CTOP model outperforms the Big Packet Protocol model in terms of average throughput, multimedia loss, delay, and energy consumption for both less and high-traffic scenarios. For less-level of traffic and high level of traffic, the CTOP model achieves a better average throughput, and average multimedia delay, reducing the average multimedia loss and average energy consumption in comparison to the existing BBP model. These results highlight the improved performance and efficiency of the CTOP model compared to the BBP model.</p>

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QoS-Aware Multicast for Crowdsourced 360° Live Streaming in SDN Aided NG-EPON

Cited by 11 publications

References 35 publications

Software-Defined UAV Networks for 6G Systems: Requirements, Opportunities, Emerging Techniques, Challenges, and Research Directions

Software-Defined UAV Networks for 6G Systems: Requirements, Opportunities, Emerging Techniques, Challenges, and Research Directions

Design of an optimized traffic‐aware routing algorithm using integer linear programming for software‐defined networking

Congestion and throughput optimization protocol for providing better quality of service and experience

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