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Relevant bibliographies by topics / Multimedia traffic

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Academic literature on the topic 'Multimedia traffic'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 June 2025

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Journal articles on the topic "Multimedia traffic"

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Mowbray, Miranda, Gunnar Karlsson, and Torsten Köhler. "Capacity reservation for multimedia traffic." Distributed Systems Engineering 5, no. 1 (1998): 12–18. http://dx.doi.org/10.1088/0967-1846/5/1/002.

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Chaoub, Abdelaali, and Elhassane Ibn-Elhaj. "Performance Evaluation of Multimedia Traffic Transmission Under Binomial and Poissonian Primary Traffics in Cognitive Radio Networks." International Journal of Mobile Computing and Multimedia Communications 4, no. 3 (2012): 87–105. http://dx.doi.org/10.4018/jmcmc.2012070106.

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Cognitive Radio is an enabling agile technology for communication and channels sharing in multimedia and wireless networks. The authors consider multimedia traffic transmission over Cognitive Radio (CR) networks using a progressive source coding associated to fountain codes. For a Cognitive Radio infrastructure where the spectrum is owned by Primary Users (PUs) that have Binomial and/or Poissonian traffics, Secondary Users (SUs) are allowed to share these spectral resources using the Opportunistic Spectrum Sharing feature of the Cognitive Radio concept. The objective of this paper lies in characterizing the reliability and as a result evaluating the performance of the secondary multimedia service provision under both primary traffic types in lossy Cognitive Radio environments. The authors have conducted a general analysis for many still open issues in Cognitive Radio and tackle three critical factors responsible for secondary service disruption: primary traffic interruptions, concurrent access to shared frequency bands leading to collisions and subchannels characteristics. Numerical simulations, in view of the average Spectral Efficiency, examine the performance of the multimedia transmission under the primary interruptions caused by the Binomial and the Poissonian primary applications and consider also the dynamics between the competing secondary peers in addition to subchannels fading and noise.

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Sari, Linna Oktaviana, and Aldi Kurniawan Batubara. "Impact of Different Topology on the Performance of IPSec VPN Multimedia Using CLSA." International Journal of Electrical, Energy and Power System Engineering 1, no. 2 (2018): 20–25. http://dx.doi.org/10.31258/ijeepse.1.2.20-25.

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Due to multimedia application, network communication are expected to support multimedia traffic such as voice, video streaming and real time chat with a variety of Quality of Service (QoS) requirements. To support multimedia communications, it is desirable to use a network that meets QoS Parameter requirements. To deal with these challenges. In this study, VPN was designed with IPSec Tunneling. In designing VPN, the CLSA method is used. The network is composed of different topologies and uses OSPF as the routing protocol. Then multimedia traffic is passed on VPN networks to see the impact of different topologies on performance.The result show that theQuality of Service (QOS)in VPNobtained areaccording to ITU-T G.107 10 06/2015. The comparison of the average delay between the mesh and the star topology shows that the average delay in the mesh topology is 23% less than the starfor multimedia traffic. The comparison of the through put between the mesh topology and the star shows that the average throughputin the mesh topology is 68.8% betterthan the star for multimedia traffic. The comparison of the jitterbetween the mesh topology and the star shows that the average jitter in the star topology is 6%shorterthan the mesh for multimedia traffic.

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VijayKumar, Sathya, and Shiva Prakash Thyagaraj. "Congestion and throughput optimization protocol for providing better quality of service and experience." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 2 (2024): 2364. http://dx.doi.org/10.11591/ijai.v13.i2.pp2364-2373.

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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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Sathya, Vijay Kumar, and Prakash Thyagaraj Shiva. "Congestion and throughput optimization protocol for providing better quality of service and experience." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 2 (2024): 2364–73. https://doi.org/10.11591/ijai.v13.i2.pp2364-2373.

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Multimedia traffic in internet of things (IoT)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 real-time streaming protocol (RTSP), real-time transport protocol (RTP), and real-time control protocol (RTCP) to improve the throughput and quality of service (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 big-packet-protocol (BBP) model. These results highlight the improved performance and efficiency of the CTOP model compared to the BBP model.

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Masiha, Rogash Y., and Amar Y. Hussien. "A Study of Multicast Routing Protocols Based MOSPE and DVMRP." International Journal of Wireless and Ad Hoc Communication 4, no. 1 (2022): 41–49. http://dx.doi.org/10.54216/ijwac.040104.

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Today’s networks are designed to reliably transmit traffic such as data from point to point i.e., unicasting, or from point to multipoint i.e., broadcasting. Multimedia places further demands on the network. First of all, multimedia traffic, such as audio or video, cannot tolerate delays in delivery like those tolerable by plain data transfer applications. Multimedia requires that data packets arrive on time and in the proper order at the client-side. Real-time protocols and quality of service guarantees addresses this issue. Furthermore, multimedia requires transmitting a large amount of traffic over the network and thus uses far more of the network’s bandwidth than in the case of those basic network operations. Multicasting offers a far more efficient way of transmitting such traffic over the Internet than unicasting or broadcasting ever would. The subject of this paper addresses the issue of efficient routing of such multicast traffic.

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I. Ali, Rasan, and Awaz A. Shaban. "Study on: Multicast Routing Protocols: MOSPF and DVMRP." Qubahan Academic Journal 3, no. 1 (2023): 13–20. http://dx.doi.org/10.48161/qaj.v3n1a140.

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Today’s networks are designed to reliably transmit traffic such as data from point to point i.e. unicasting, or from point to multipoint i.e. broadcasting. Multimedia places further demands on the network. First of all, multimedia traffic, such as audio or video, cannot tolerate delays in delivery like those tolerable by plain data transfer applications. Multimedia requires that data packets arrive on time and in the proper order at the client side. Real-time protocols and quality of service guarantees addresses this issue. Furthermore, multimedia requires transmitting large amount of traffic over the network and thus uses far more of the network’s bandwidth than in case of those basic network operations. Multicasting offers far more efficient way of transmitting such traffic over the Internet than unicasting or broadcasting ever would. The subject of this paper addresses the issue of efficient routing of such multicast traffic.

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Hernández-Orallo, Enrique, and Joan Vila-Carbó. "Network Provisioning Using Multimedia Aggregates." Advances in Multimedia 2007 (2007): 1–11. http://dx.doi.org/10.1155/2007/30893.

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Multimedia traffic makes network provisioning a key issue. Optimal provisioning of network resources is crucial for reducing the service cost of multimedia transmission. Multimedia traffic requires not only provisioning bandwidth and buffer resources in the network but also guaranteeing a given maximum end-to-end delay. In this paper we present methods and tools for the optimal dimensioning of networks based on multimedia aggregates. The proposed method minimises the network resources reservations of traffic aggregates providing a bounded delay. The paper also introduces several methods to generate multimedia traffic aggregation using real video traces. The method is evaluated using a network topology based on the European GÉANT network. The results of these simulations allow us to discover the relationship between a required delay and the necessary bandwidth reservation (or the achievable utilisation limit). An interesting conclusion of these scenarios is that, following several recommendations, the network utilisation can reach values of around80%or higher.

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Poluboyina, Lavanya, Mallikarjuna Prasad. A., Sivakumar Reddy. V, and S. V. Maruthi Rao. "Multimedia Traffic Transmission using MAODV and M-MAODV Routing Protocols over Mobile Ad-hoc Networks." International Journal of Computer Network and Information Security 14, no. 3 (2022): 47–62. http://dx.doi.org/10.5815/ijcnis.2022.03.04.

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Many applications of mobile ad-hoc networks like conferencing, handling emergency situations, military operations require the multicast routing. Moreover, in such applications there is a demand for multimedia traffic such as audio/video calls or audio/video conferencing. For mobile ad-hoc environments, it is accepted that the on-demand reactive routing protocol AODV has become default. Moreover, to get the benefits of using a single protocol for both unicast and multicast routing, in this work, the multicast routing protocol MAODV (multicast extension of AODV) has been considered and its performance is observed for CBR, VoIP and video data traffics. Since to accommodate multimedia traffic, a routing protocol demands for stringent QoS requirements in terms of delay, jitter and packet losses; the performance of the protocol is measured in terms of QoS performance metrics such as average delay, average jitter and packet delivery ratio. Further, a modified version of MAODV (called M-MAODV) is taken and its performance is also evaluated for multimedia traffic. A fair comparison of MAODV and M-MAODV protocols is achieved through the use of same network conditions for the evaluation. From the results, the improved values of delay, jitter and packet delivery ratio have been observed for M-MAODV irrespective of node speeds and for all data traffic types.

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Made, Suartana I., and Prapanca Aditya. "Quality of Service Assurances in Multimedia Network: A Simulation Approach." MATEC Web of Conferences 197 (2018): 15010. http://dx.doi.org/10.1051/matecconf/201819715010.

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QoS is not a consideration at the beginning of the development of IP networks. However, as its growth and support more services including critical and real-time services, QoS support is indispensable. Multimedia applications require different QoS requirements from simple network applications. Multimedia services need more bandwidth, lossless delivery, and strict delay. IP networks treat all traffic, in the same way, this will be a problem for real-time traffic likes multimedia applications. This project uses Multi-Protocol Label Switching (MPLS) and DiffServ QoS management schemes to meet the quality of service requirement in multimedia networks. The aim of this study shows that two methods can improve network performance for multimedia type applications. An analysis to compare the quality of service guarantees provided by these models using a simulation approach. Based on simulation results and analysis shows that two methods improved network performance for multimedia type applications in massive traffic environments.

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Dissertations / Theses on the topic "Multimedia traffic"

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Shah-Heydari, Shahram. "MMPP modeling of ATM multimedia traffic." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0003/MQ39477.pdf.

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Adas, Abdelnaser M. "Supporting multimedia traffic in broadband networks." Diss., Georgia Institute of Technology, 1997. http://hdl.handle.net/1853/14849.

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Ribeiro, Leila Zurba. "Traffic Dimensioning for Multimedia Wireless Networks." Diss., Virginia Tech, 2003. http://hdl.handle.net/10919/27199.

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Wireless operators adopting third-generation (3G) technologies and those migrating from second-generation (2G) to 3G face a number of challenges related to traffic modeling, demand characterization, and performance analysis, which are key elements in the processes of designing, dimensioning and optimizing their network infrastructure. Traditional traffic modeling assumptions used for circuit-switched voice traffic no longer hold true with the convergence of voice and data over packet-switched infrastructures. Self-similar models need to be explored to appropriately account for the burstiness that packet traffic is expected to exhibit in all time scales. The task of demand characterization must include an accurate description of the multiple user profiles and service classes the network is expected to support, with their distinct geographical distributions, as well as forecasts of how the market should evolve over near and medium terms. The appropriate assessment of the quality of service becomes a more complex issue as new metrics and more intricate dependencies have to be considered when providing a varying range of services and applications that include voice, real-time, and non-real time data. All those points have to be considered by the operator to obtain a proper dimensioning, resource allocation, and rollout plan for system deployment. Additionally, any practical optimization strategy has to rely on accurate estimates of expected demand and growth in demand. In this research, we propose a practical framework to characterize the traffic offered to multimedia wireless systems that allows proper dimensioning and optimization of the system for a particular demand scenario. The framework proposed includes a methodology to quantitatively and qualitatively describe the traffic offered to multimedia wireless systems, solutions to model that traffic as practical inputs for simulation analysis, and investigation of demand-sensitive techniques for system dimensioning and performance optimization. We consider both theoretical and practical aspects related to the dimensioning of hybrid traffic (voice and data) for mobile wireless networks. We start by discussing wireless systems and traffic theory, with characterization of the main metrics and models that describe the users’ voice and data demand, presenting a review of the most recent developments in the area. The concept of service class is used to specify parameters that depend on the application type, performance requirements and traffic characteristics for a given service. Then we present the concept of “user profile,“ which ties together a given combination of service class, propagation environment and terminal type. Next, we propose a practical approach to explore the dynamics of user geographical distribution in creating multi-service, multi-class traffic layers that serve as input for network traffic simulation algorithms. The concept of quality-of-service (QoS) is also discussed, focusing on the physical layer for 3G systems. We explore system simulation as a way to dimension a system given its traffic demand characterization. In that context, we propose techniques to translate geographical distributions of user profiles into the actual number of active users of each layer, which is the key parameter to be used as input in simulations. System level simulations are executed for UMTS systems, with the purpose of validating the methodology proposed here. We complete the proposed framework by applying all elements together in the process of dimensioning and optimization of 3G wireless networks using the demand characterization for the system as input. We investigate the effects of modifying some elements in the system configuration such as network topology, radio-frequency (RF) configuration, and radio resource management (RRM) parameters, using strategies that are sensitive to traffic geographical distribution. Case study simulations are performed for Universal Mobile Telecommunications System (UMTS) networks, and multiple system variables (such as antenna tilts, pilot powers, and RRM parameters) are optimized using traffic sensitive strategies, which result in significant improvements in the overall system capacity and performance. Results obtained in the case studies, allied to a generic discussion of the trade-offs involved in the proposed framework, demonstrate the close dependence between the processes of system dimensioning and optimization with the accurate modeling of traffic demand offered to the system.<br>Ph. D.

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Asante, Michael. "Mobile IP convergence to empower multimedia traffic anywhere." Thesis, University of Reading, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.493931.

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The mobile workforce needs the ability to communicate with customers, partners, and fellow workers anywhere, anytime and get access to relevant business applications and tools to carry out business effectively and with this the Transmission Control Protocol / Internet Protocol (TCP/IP) plays a major part. The TCP/IP which forms the main platform for networking and how data packets are handled by the Internet fits well within the OSI model which consists of the physical layer, data link layer, network layer, transport layer, session layer, presentation layer and the application layer.

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Raghavan, Mukund. "A study on QoS for multimedia traffic WLANs during handoff." Cincinnati, Ohio : University of Cincinnati, 2005. http://www.ohiolink.edu/etd/view.cgi?acc%5Fnum=ucin1130878633.

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Huang, Weimin. "Monitoring and modelling multimedia traffic over TCP/IP/ATM networks." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ26996.pdf.

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Awadalla, Husam Osman. "Resource management for multimedia traffic over ATM broadband satellite networks." Thesis, Queen Mary, University of London, 2000. http://qmro.qmul.ac.uk/xmlui/handle/123456789/3802.

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Piironen, S. Annukka. "Multimedia traffic management and congestion control in satellite ATM networks." Thesis, Massachusetts Institute of Technology, 1994. http://hdl.handle.net/1721.1/36460.

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Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.<br>Includes bibliographical references (leaves 101-102).<br>by S. Annukka Piironen.<br>M.S.

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Yerima, Suleiman Y. "Quality of service optimization of multimedia traffic in mobile networks." Thesis, University of South Wales, 2009. https://pure.southwales.ac.uk/en/studentthesis/quality-of-service-optimization-of-multimedia-traffic-in-mobile-networks(975989e3-30f0-450b-9c6f-c2c51362f380).html.

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Mobile communication systems have continued to evolve beyond the currently deployed Third Generation (3G) systems with the main goal of providing higher capacity. Systems beyond 3G are expected to cater for a wide variety of services such as speech, data, image transmission, video, as well as multimedia services consisting of a combination of these. With the air interface being the bottleneck in mobile networks, recent enhancing technologies such as the High Speed Downlink Packet Access (HSDPA), incorporate major changes to the radio access segment of 3G Universal Mobile Telecommunications System (UMTS). HSDPA introduces new features such as fast link adaptation mechanisms, fast packet scheduling, and physical layer retransmissions in the base stations, necessitating buffering of data at the air interface which presents a bottleneck to end-to-end communication. Hence, in order to provide end-to-end Quality of Service (QoS) guarantees to multimedia services in wireless networks such as HSDPA, efficient buffer management schemes are required at the air interface. The main objective of this thesis is to propose and evaluate solutions that will address the QoS optimization of multimedia traffic at the radio link interface of HSDPA systems. In the thesis, a novel queuing system known as the Time-Space Priority (TSP) scheme is proposed for multimedia traffic QoS control. TSP provides customized preferential treatment to the constituent flows in the multimedia traffic to suit their diverse QoS requirements. With TSP queuing, the real-time component of the multimedia traffic, being delay sensitive and loss tolerant, is given transmission priority; while the non-real-time component, being loss sensitive and delay tolerant, enjoys space priority. Hence, based on the TSP queuing paradigm, new buffer managementalgorithms are designed for joint QoS control of the diverse components in a multimedia session of the same HSDPA user. In the thesis, a TSP based buffer management algorithm known as the Enhanced Time Space Priority (E-TSP) is proposed for HSDPA. E-TSP incorporates flow control mechanisms to mitigate congestion in the air interface buffer of a user with multimedia session comprising real-time and non-real-time flows. Thus, E-TSP is designed to provide efficient network and radio resource utilization to improve end-to-end multimedia traffic performance. In order to allow real-time optimization of the QoS control between the real-time and non-real-time flows of the HSDPA multimedia session, another TSP based buffer management algorithm known as the Dynamic Time Space Priority (D-TSP) is proposed. D-TSP incorporates dynamic priority switching between the real-time and non-real-time flows. D-TSP is designed to allow optimum QoS trade-off between the flows whilst still guaranteeing the stringent real-time component’s QoS requirements. The thesis presents results of extensive performance studies undertaken via analytical modelling and dynamic network-level HSDPA simulations demonstrating the effectiveness of the proposed TSP queuing system and the TSP based buffer management schemes.

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RAGHAVAN, MUKUND. "A STUDY OF QOS FOR MULTIMEDIA TRAFFIC WLANS DURING HANDOFF." University of Cincinnati / OhioLINK, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1130878633.

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Books on the topic "Multimedia traffic"

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Siris, Vasilios, Torsten Braun, Francisco Barcelo-Arroyo, Dirk Staehle, Giovanni Giambene, and Yevgeni Koucheryavy, eds. Traffic and QoS Management in Wireless Multimedia Networks. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-85573-8.

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Sharon, Doubek, Haines Richard F, and Ames Research Center, eds. Bandwidth characteristics of multimedia data traffic on a local area network. National Aeronautics and Space Administration, Ames Research Center, 1993.

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Wong, Wilson Wai Shun. Power assignment strategies and traffic control for wireless multimedia DS-CDMA systems. National Library of Canada, 1996.

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Chen, Suren. Traffic safety vulnerability information platform (TS-VIP) for highways in mountainous areas using geospatial multimedia technology. Mountain-Plains Consortium, 2008.

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Germany) Internationale Automobil-Ausstellung (57th 1997 Frankfurt am Main. Multimedia, Wertewandel und Stadtverkehr: Forumsveranstaltung im Rahmen der 57. Internationalen Automobil-Ausstellung Pkw/Motorräder am Mittwoch, dem 17. September 1997. Verband der Automobilindustrie, 1998.

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L, Chiu Angela, Huebner-Szabo de Bucs Frank, Mei, Robert D. van der., and Society of Photo-optical Instrumentation Engineers., eds. Internet quality and performance and control of network systems: 6-7 November 2000, Boston, USA. SPIE, 2001.

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Souihi, Sami, Abdelhamid Mellouk, and Said Hoceini. Knowledge Dissemination for Multimedia Traffic. Elsevier, 2016.

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Souihi, Sami, Abdelhamid Mellouk, and Said Hoceini. Knowledge Dissemination for Multimedia Traffic. Elsevier, 2025.

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Giambene, Giovanni, Yevgeni Koucheryavy, and Dirk Staehle. Traffic and QoS Management in Wireless Multimedia Networks. Springer, 2009.

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Lee, Minkyu. Multimedia traffic modeling and bandwidth allocation in home networks. 2004.

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Book chapters on the topic "Multimedia traffic"

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Liu, Hang, and Magda El Zarki. "Video Traffic over Wireless Links: Issues and Performance." In Multimedia Communications. Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0859-7_12.

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Knightly, Edward W., and Jingyu Qiu. "Measurement-Based Admission Control with Aggregate Traffic Envelopes." In Multimedia Communications. Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0859-7_13.

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Polyzos, George C. "Network Traffic Issues for Interactive Multipoint Multimedia Applications." In Multimedia Communications. Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0859-7_18.

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Ryu, Yeonseung. "Providing Multimedia Traffic with Predictability." In Advances in Multimedia Information Processing — PCM 2002. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-36228-2_112.

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Gennaro, Rosario. "Cryptographic Algorithms for Multimedia Traffic." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24631-2_5.

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Cozzani, Irene, Stefano Giordano, and Michele Pagano. "Queueing performance evaluation by means of traffic sampling methods." In Multimedia Communications. Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0859-7_20.

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Gonçalves, Joana, Paulo Salvador, António Nogueira, and Rui Valadas. "Peer-Level Analysis of Distributed Multimedia Content Sharing." In Traffic Management and Traffic Engineering for the Future Internet. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04576-9_6.

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Bolla, Raffaele, Franco Davoli, and Stefano Ricciardi. "Resource Allocation Strategies for Multimedia Traffic in an ATM-based PON." In Multimedia Communications. Springer London, 1999. http://dx.doi.org/10.1007/978-1-4471-0859-7_24.

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Little, T. D. C., and A. Ghafoor. "Scheduling of bandwidth-constrained multimedia traffic." In Network and Operating System Support for Digital Audio and Video. Springer Berlin Heidelberg, 1992. http://dx.doi.org/10.1007/3-540-55639-7_11.

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Cheng, Peng, Wu Liu, Yifan Zhang, and Huadong Ma. "LOCO: Local Context Based Faster R-CNN for Small Traffic Sign Detection." In MultiMedia Modeling. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73603-7_27.

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Conference papers on the topic "Multimedia traffic"

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Al-Sayegh, Osamah A., and Ali E. Dashti. "Multimedia traffic monitoring system." In Information Technologies 2000, edited by John R. Smith, Chinh Le, Sethuraman Panchanathan, and C. C. Jay Kuo. SPIE, 2000. http://dx.doi.org/10.1117/12.403828.

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Abrams, Marc, Stephen Williams, Ghaleb Abdulla, Shashin Patel, Randy Ribler, and Edward A. Fox. "Multimedia traffic analysis using CHITRA95." In the third ACM international conference. ACM Press, 1995. http://dx.doi.org/10.1145/217279.215278.

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Rougeau, Brad, and Mea Wang. "Sensing User-Generated Multimedia Traffic." In CPS Week '17: Cyber Physical Systems Week 2017. ACM, 2017. http://dx.doi.org/10.1145/3055601.3055612.

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Czyzewski, Andrzej, and Piotr Dalka. "Multimedia Approach for Traffic Noise Monitoring." In 2007 International Conference on Multimedia and Ubiquitous Engineering (MUE'07). IEEE, 2007. http://dx.doi.org/10.1109/mue.2007.160.

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Irina, Strelkovskaya, Solovskaya Irina, and Makoganiuk Anastasiya. "Forecasting 5G Network Multimedia Traffic Characteristics." In 2020 IEEE 15th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET). IEEE, 2020. http://dx.doi.org/10.1109/tcset49122.2020.235585.

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Kovacik, Tomas, and Ivan Kotuliak. "Traffic Characterization in IP Multimedia Subsystem." In 2009 16th International Conference on Systems, Signals and Image Processing. IEEE, 2009. http://dx.doi.org/10.1109/iwssip.2009.5367765.

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Bescos, Jesus, Jose M. Martinez, and Guillermo Cisneros. "Traffic analysis on multimedia data services." In Photonics East '96, edited by Wai Sum Lai, Sam T. Jewell, Curtis A. Siller, Jr., Indra Widjaja, and Dennis Karvelas. SPIE, 1996. http://dx.doi.org/10.1117/12.257339.

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Cruvinel, L., T. Vazao, F. Silva, and A. Fonseca. "Dynamic QoS Adaptation for Multimedia Traffic." In 17th International Conference on Computer Communications and Networks 2008. IEEE, 2008. http://dx.doi.org/10.1109/icccn.2008.ecp.172.

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Wolfson, Ouri, Bo Xu, and Hyung Ju Cho. "Multimedia traffic information in vehicular networks." In the 17th ACM SIGSPATIAL International Conference. ACM Press, 2009. http://dx.doi.org/10.1145/1653771.1653849.

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James, Justin, O. Odejide, A. Annamalai, and D. Vaman. "Adaptive Multiresolution Modulation for multimedia traffic." In 2011 IEEE Consumer Communications and Networking Conference (CCNC). IEEE, 2011. http://dx.doi.org/10.1109/ccnc.2011.5766577.

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