scholarly journals Flow Sensing-Based Congestion Detection for D2D Streaming on a 5G gNB

Sensors ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 258
Author(s):  
Chongdeuk Lee

To provide high-quality streaming services in device-to-device (D2D) communications, performance parameters such as encoding rate, decoding rate, and flow rate should be detected and monitored. The proposed algorithm provides a method to detect time streaming for traffic flows in D2D communications, and a sequence to detect rate imbalance. This paper proposes a new FS-CDA (flow sensing-based congestion detecting algorithm) to prevent high congestion rates and assist an optimized D2D streaming service in 5G-based wireless mobile networks. The proposed algorithm detects and controls flow imbalance for streaming segments during D2D communications, and it includes operations such as transmission rate monitoring, rate adjustment functions, and underflow and overflow sensing for these operations. The paper aims to effectively control traffic flow rates caused by adjacent channel bandwidth, high bit rate error, and heterogeneous radio interference, and to enhance the performance of D2D streaming services by performing such operations. The proposed algorithm for D2D streaming services is measured by deriving the individual weight of certain versions of a streaming flow. Based on the given operations, the simulation results indicated that the proposed algorithm has better performance with respect to average congestion control ratio, PSNR, and average throughput than other methods.

2017 ◽  
Vol 2 (2) ◽  
pp. 89 ◽  
Author(s):  
Kenichi Kashibuchi ◽  
Tarik Taleb ◽  
Abbas Jamalipour ◽  
Yoshiaki Nemoto ◽  
Nei Kato

Multimedia streaming services are becoming popular in both wired and wireless networks. Layered multicast is a widely accepted approach for streaming multimedia data to a large number of users. Existing layered multicast approaches donot interact well with network dynamics. Indeed, upon a change in network conditions, they require a long time till they can appropriately adjust their data transmission rate. Additionally, they do not achieve fairness when users from different sessions share the bandwidth of a bottleneck link.In this paper, we propose a scheme that allows newly-arriving users to promptly converge their data transmission rates to the most optimal rate that best suit the current conditions of the network without degrading the system fairness. The proposed scheme is based on the fact that layered multicast uses prioritybased packet dropping policies. In the proposed scheme, two newly-defined packet messages are considered: “low priority join” and “normal join” messages. To join a session, a user first subscribes to all corresponding layers by issuing “low priority join” messages. It then computes packet drops experienced oneach layer. If packets of a given layer experience a drop rate higher than a predetermined threshold, the user leaves that layer and all higher layers. The user then “officially” joins the remaining layers by transmitting “normal join” messages. This operation helps users to subscrive to only layers whose aggregate bandwidth fits the current network conditions. The performance of the proposed scheme is evaluated through computer simulations and is compared against the Receiverdriven Layered Multicast (RLM) scheme. The results show that the proposed scheme achieves appropriate bandwidth utilization from the start of the session. The results demonstrate also that the proposed scheme is effective in managing handover in mobile networks and achieves better Quality of Service (QoS) inheterogeneous mobile environments.


India is a very vast market for internet services as it has over 480 million active internet users in the country. Music streaming services in India is emerging day by day. The competition in the market is so high that even two giants Jio Music and Saavn join their hand in 2018 to provide a combine service all across the globe. In, 2019 a global giant Spotify entered into music streaming market in India and affected the each music service in India. Gaana owned by Times Internet have over 150 million active monthly users in the country while JioSaavn reported 100 million active monthly users as per a website. This research is going to study the market capture of various music streaming services in India. Currently, as per the research, Spotify is the most popular streaming service. As per the literature available on various platforms other streaming services were holding the major proportion of the Indian market but after the launch of Spotify, it became most loved streaming service. The research is being done to find out the existing music streaming services are affected by the entrance of Spotify or not


2021 ◽  
Author(s):  
Nora A. Ali ◽  
Magdy El-Soudani ◽  
Hany M. ElSayed ◽  
Hebat-Allah M. Mourad ◽  
Hassanein H. Amer

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Iulisloi Zacarias ◽  
Janaína Schwarzrock ◽  
Luciano P. Gaspary ◽  
Andersonn Kohl ◽  
Ricardo Q. A. Fernandes ◽  
...  

Situation awareness in surveillance systems benefits from high-quality video streaming service. This is even more important considering military systems, in which delays in image transmission may have a significant impact on the decision-making process. However, in order to deliver high-quality video streaming service, the required network infrastructure may be prohibitively complex, or even completely impossible to deploy, if mobile data providers are considered. Moreover, the demand for high network throughput poses extra requirements on the network. Considering this context, this paper addresses the problem of highly mobile networks composed of unmanned aerial vehicles (UAVs) as data providers of a military surveillance system. The proposed approach to tackle the problem is based on a Software Defined Networking (SDN) approach aiming at providing the best routes to deliver the data, enhancing the end-user quality of experience. An extensive experimental campaign was performed by means of simulations and the acquired results provide solid evidence of the usefulness of this proposal.


2021 ◽  
Vol 29 (6) ◽  
pp. 0-0

This study investigates the causes impacting the consumers' intention of the premium music streaming services' subscription in China. An integrated model called the Theory of Streaming Service Acceptance (TSSA) is proposed to explain and predict premium music streaming service subscription behaviors. The TSSA consists of four constructs: attitude, descriptive norm, injunctive norm and perceived behavioral control. The research data was collected in the form of an online survey in China with 120 respondents. Then, interviews were conducted to collect qualitative data from 20 participants. An explanatory sequential mixed method was implemented and the PLS-SEM technique was used to analyze the survey data. The results showed that all constructs in modified research mode, including attitude, injunctive norm and perceived behavioral control except descriptive norm, are indicative predictors for a person’s intention toward premium music streaming services’ subscription. Significant practical inspirations from the perspective of music streaming services providers are also summarized.


2020 ◽  
Vol 8 (2) ◽  
pp. 403-425
Author(s):  
Nisa Yıldırım

Comedy has always been one ofthe most popular genres in Turkish cinema and television series. As the distinction between film and series has begun to blur in the post-television era, narratives are transforming according to the characteristics of the new medium. Streaming services targeting niche audience offer more freedom to creators of their content.Thisarticle aims tostudy the comedy series Bartu Ben (Its me, Bartu)which is one of the original series of Turkish streaming service Blu TV, in orderto interpret the differences ofthe series from traditional television comedies, and contributionof streaming servicesto the transformation of the genre.


Author(s):  
Jochen Eisl ◽  
Gerhard Kuhn ◽  
Matthias Lott ◽  
Martin Varela ◽  
Jarmo Prokkola ◽  
...  

Author(s):  
Quanxing Zhang ◽  
Chwan-Hwa Wu ◽  
J. David Irwin

A scheme is proposed in this chapter to apply a secure digital signature scheme in a mobile-IP environment and treats the three entities in a dynamic path as either foreign agents (FA), home agents (HA) or mobile agents (MA), such that a coalition is formed containing each of the individual agents. Each agent has a pair of keys: one private and one public. The private key is evolving with time, and the public key is signed by a certification authority (CA). All the private keys of the three agents in the coalition are needed to sign a signature. Furthermore, all the messages are signed and verified. The signature is verified against a public key, computed as the product of the public keys of all three agents, and readily generated when a new dynamic path is formed. In addition, the key-evolving scheme prevents an adversary from forging past signatures under any circumstances. As a result of the schemes’ proactive refresh capability, an adversary must simultaneously compromise each MA, FA and HA in order to forge future signatures. When a new dynamic path is formed or private keys evolve to new states, an interactive, proactive synchronization scheme is employed among the agents. Thus, the loss of a mobile device, or its information, will cause minimal information damage.


2019 ◽  
Vol 8 (2) ◽  
pp. 23 ◽  
Author(s):  
Dania Marabissi ◽  
Romano Fantacci ◽  
Linda Simoncini

Ultra-Dense Network (UDN) deployment is considered a key element to achieve the requested capacity in future fifth-generation (5G) mobile networks. Backhaul networks in UDNs are formed by heterogeneous links with multi-hop connections and must handle massive traffic. Backhauling in future 5G networks may represent the capacity bottleneck. Therefore, there is the need for efficient and flexible routing schemes able to handle the dynamism of the traffic load in capacity-limited networks. Toward this goal, the emerging Software-Defined Network (SDN) paradigm provides an efficient solution, transferring the routing operation from the data plane switches to a central controller, thus achieving more flexibility, efficiency, and faster convergence time in comparison to conventional networks. This paper proposes and investigates an SDN-approach for an efficient routing in a capacity-limited backhaul network that carries data and control traffic of a heterogeneous UDN. The routing algorithm is centralized in the SDN controller and two different types of traffic flow are considered: data and control plane coordination traffic. The goal is to reduce or even to avoid the amount of traffic that the backhaul network is not able to support, distributing in a fair way the eventual lack of bandwidth among different access points. Simulation results show that with the considered approach the performance significantly improves, especially when there is an excess of traffic load in the network. Moreover, thanks to the SDN-based design, the network can reconfigure the traffic routing depending on the changing conditions.


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