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Journal articles on the topic 'Voice traffic'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 September 2023

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1

Nisar, Kashif. "Fourth Stage of Voice Priority Queue for VoIP over WLANs." International Journal of Interdisciplinary Telecommunications and Networking 4, no. 2 (April 2012): 48–63. http://dx.doi.org/10.4018/jitn.2012040104.

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Voice over Internet Protocol (VoIP) is growing rapidly during this decade. VoIP is seen as a short-term and long-term transmission for voice and audio traffic and is moving on Wireless Local Area Networks (WLANs) based on IEEE 802.11 standards. Currently, packet scheduling algorithms like Weighted Fair Queuing (WFQ), was mainly designed to provide the bandwidth reservation. The Strict Priority (SP) is low-cost to maintain the delay sensitive voice traffic. Also, a number of research scheduling solutions have been proposed like General processor sharing (GPS), Deficit Round Robin (DRR), Contention-Aware Temporally fair Scheduling (CATS). Unfortunately, the current scheduling won’t be able to handle the VoIP packets properly and they have drawbacks over real-time applications. The objective of this research is to propose a Fourth Stage of Voice Priority Queue (VPQ) packet scheduling and algorithm to ensure more throughput, fairness and efficient packet scheduling for VoIP performance of queues and traffics. A new scheduler flexible which is capable of satisfying the VoIP traffic flows. Experimental topologies on NS-2 network simulator were analyzed for voice traffic.

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2

Noll, A. Michael. "Technical opinion: does data traffic exceed voice traffic?" Communications of the ACM 42, no. 6 (June 1999): 121–24. http://dx.doi.org/10.1145/303849.303871.

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Nisar, Kashif, and Suhaidi Hassan. "Mobility of Mobile Station in Voice Priority Queue Scheduler for VoIPWLANs." Journal of Communications and Computer Engineering 2, no. 3 (December 26, 2011): 28. http://dx.doi.org/10.20454/jcce.2012.249.

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Voice over Internet Protocol (VoIP) is growing rapidly during this decade. VoIP is seen as a short-term and long-trem transmission for voice and audio traffic. Meanwhile, VoIP is moving on Wireless Local Area Networks (WLANs) based on IEEE 802.11 standards. Currently, many packet scheduling algorithms like Weighted Fair Queuing (WFQ), was mainly designed to provide the bandwidth reservation. The Strict Priority (SP) is low-cost to maintain the delay sensitive voice traffic. Also, a number of research scheduling solutions have been proposed like General processor sharing (GPS), Deficit Round Robin (DRR), Contention-Aware Temporally fair Scheduling (CATS). Unfortunately, the current scheduling will not be able to handle the VoIP packets with the proper manner and they have some drawbacks over real-time applications. The objective of this research is to propose a new Voice Priority Queue (VPQ) packet scheduling and algorithm to ensure more throughput, fairness and efficient packet scheduling for VoIP performance of queues and traffics. A new scheduler flexible which is capable of satisfying the VoIP traffic flows. Experimental topologies on NS-2 network simulator were analyzed for voice traffic. Preliminary results show that this can achieve maximum and more accurate VoIP quality throughput and fairness index in mobility of mobile station. We verified and validated VPQ an extensive experimental simulation study under various traffic flows over WLANs.

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Zhuang Qiao, Shunliang Zhang, Liuqun Zhai, and Xiaohui Zhang. "Encrypted 5G over-the-top voice traffic classification using deep learning." ITU Journal on Future and Evolving Technologies 3, no. 3 (December 9, 2022): 779–92. http://dx.doi.org/10.52953/eyif3681.

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With the commercialization of fifth-generation (5G), the rapid popularity of mobile Over-The-Top (OTT) voice applications brings huge impacts on the traditional telecommunication voice call services. Tunnel encryption technology such as Virtual Private Networks (VPNs) allow OTT users to escape the supervision of network operators easily, which may cause potential security risks to cyberspace. To monitor harmful OTT applications in the context of 5G, it is critical to identify encrypted OTT voice traffic. However, there is no comprehensive study on typical OTT voice traffic identification. This paper mainly focuses on analyzing OTT voice traffic in the 5G network specifically. We propose employing Long Short-Term Memory (LSTM) and Convolutional Neural Networks (CNNs) to identify encrypted 5G OTT voice traffic, study the identification performance of used deep learning methods in three different scenarios. To verify the performance of the proposed approach, we collect 28 types of typical OTT and non-OTT voice traffic from the experimental 5G network. Experimental results prove the effectiveness and robustness of the proposed approach in encrypted 5G OTT voice traffic identification.

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Jadhav, Atharva. "Traffic Sign Detection and Voice Alert." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (May 31, 2023): 4283–88. http://dx.doi.org/10.22214/ijraset.2023.52651.

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Abstract: The Traffic Sign Detection and Voice Alert is an intelligent system designed to improve road safety by detecting traffic signs andproviding voice alerts to the driver. The project is based on computer vision and machine learning techniques, and it uses a camera to capture real-time images of the road and traffic signs. The system analyzes the images to detect traffic signs, such as speed limit signs, stop signs, and no entry signs, using deep learning algorithms. Once a traffic sign is detected, the system provides a voice alert to the driver, informing them of the sign's message. The system has several advantages over traditional traffic sign detection systems. Firstly, it is more accurate and reliable due to the use of deep learning algorithms. Secondly, it provides real-time alerts to the driver, which helps them to stay focused on the road and avoid accidents. Finally, it is cost-effective and can be easily installed in any vehicle.

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Prasad, V. V. S. Maruthy, and Shuba Swaminathan. "Voice Governed Traffic Light Control System." IETE Journal of Education 36, no. 2-3 (April 1995): 115–20. http://dx.doi.org/10.1080/09747338.1995.11415622.

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7

Mathieson, Lesley. "Voice disorders following road traffic accidents." Journal of Laryngology & Otology 111, no. 10 (October 1997): 903–6. http://dx.doi.org/10.1017/s0022215100138940.

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8

Greenstein, Larry. "Transporting voice traffic over packet networks." International Journal of Network Management 8, no. 4 (July 1998): 227–34. http://dx.doi.org/10.1002/(sici)1099-1190(199807/08)8:4<227::aid-nem290>3.0.co;2-p.

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9

Chang, Cheng-Shang, Xiuli Chao, and Michael Pinedo. "Integration of Discrete-Time Correlated Markov Processes in a TDM System." Probability in the Engineering and Informational Sciences 4, no. 1 (January 1990): 29–56. http://dx.doi.org/10.1017/s0269964800001443.

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In this paper, we consider a discrete-time queueing model for a Time Division Multiplexing (TDM) system with integration of voice and data (a model introduced by Li and Mark [16]). The voice traffic is a superposition of N Markov chains, which alternate between two states: the talkspurt state and the silence state. The data traffic is Poisson and independent of the voice sources. We show that the average queue size is increasing in certain correlation coefficients of the voice sources, increasing convex in the proportion of time the voice sources are in talkspurts, increasing convex in the number of voice sources, and increasing convex in the data traffic intensity. However, it is decreasing convex in the number of channels. These structural results yield various bounds. To take video traffic into account as well, we adapt a model of Maglaris et al. [18]. In their model, video traffic is generated by a continuous-state autoregressive Markov process that matches the average rate and the autocovariance of the output of a video coder. We show that if we replace their autoregressive model by a two-state Markov chain model with the same rate and correlation coefficient, we obtain an upper bound for the queue size. This replacement enables us to treat the video traffic as a voice source and use the techniques developed for dealing with voice/data integration to obtain bounds and estimates.

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10

Hong, Zhi Guo, Yong Bin Wang, and Min Yong Shi. "SPN-Based Performance Evaluation for ON-OFF Voice Traffic System." Advanced Materials Research 225-226 (April 2011): 1020–23. http://dx.doi.org/10.4028/www.scientific.net/amr.225-226.1020.

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By taking voice traffic system as study object, mathematical modeling methodology was used to investigate different parameters’ variations on system’s performance. Firstly, on the basis of analyzing the characteristics of voice traffic, this paper constructed a Stochastic Petri Net (SPN) model for ON-OFF voice traffic system. Furthermore, average time delay of the system was analyzed and model-based simulation was conducted with Stochastic Petri Net Package (SPNP) 6.0. For different parameters of ON to OFF rate and user’s voice connections, variation trends of number of user’s connections and ON to OFF rate are derived thereby. The methodology of modeling and simulation in this paper can be further used to analyze the performance of multimedia hybrid traffic system.

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Jiang, Shi Bao, Chuan Feng Bai, and Cui Feng Du. "Traffic Forecast Based on Empirical Mode Decomposition and RBF Neural Network." Advanced Materials Research 846-847 (November 2013): 1270–73. http://dx.doi.org/10.4028/www.scientific.net/amr.846-847.1270.

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Traffic analysis and forecast are the classic topics of telecommunication research, as they provide strategic ground to address the issues such as mobile networks traffic jam, network coverage planning design, marketing management etc. On the basis of the empirical mode decomposition theory and methods, this article first implements multi-scale analysis of the time series of traffic, then it goes on to executes RBF neural network based on the different compositions, and finally reach the forecast expectation of voice traffics of selected base stations.

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Sanyal, Rajarshi. "ISDN User Part Traffic Optimization in the SS7 Network." International Journal of Interdisciplinary Telecommunications and Networking 5, no. 4 (October 2013): 53–72. http://dx.doi.org/10.4018/ijitn.2013100104.

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The state of the art Long Term Evolution (LTE) mobile core networks predominantly use Session Initiation Protocol (SIP) and Real-time Transport Protocol (RTP) for transporting voice across networks. Voice-over-LTE (VoLTE) designed for LTE network based on an IP Multimedia System (IMS)) framework is the key to enriched voice communication services for the next generation networks. Emerging technologies like Rich Communication Suite, Web Real-Time Communication (WebRTC) will impart a new dimension to voice communications and harmonise voice and value added services. Many of the mobile networks and voice carriers evolved their network from traditional Time-Division Multiplexing (TDM) / Asynchronous Transfer Mode (ATM) to Internet Protocol (IP). Several interworking protocols have appeared for interexchange of Voice traffic between TDM and IP. SIP to ISDN User Part (ISUP) interoperability mechanisms have been devised. But, in spite of all the endeavours of the mobile networks move to the next generation, it will probably take some time for the networks to completely migrate from UMTS to LTE. As both the technologies will coexist, Circuit Switched Fallback (CSFB) and Single Radio Voice Call Continuity (SRVCC) are two of the most preferred options in the interim to switch from 4G to 3G when the coverage is lost. 3G networks rely still on circuit switching. It can be inferred that circuit switched networks piggybacking on ISUP for voice communication will continue. In this paper, we examine the ISUP signalling aspects to optimize the load sharing and streamline the performance of the traditional voice core networks. We will study the dependencies of the Circuit Identification Code (CIC) selection process on ISUP load sharing to derive our conclusions.

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Huang, Jun Xiang, and Hong Yong Wang. "Relationship of Traffic Complexity and Pilot-Controller Voice Communication Load." Applied Mechanics and Materials 744-746 (March 2015): 1980–84. http://dx.doi.org/10.4028/www.scientific.net/amm.744-746.1980.

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A multi-factor linear regression model was developed to describe and estimatepilot-controller voice communication loads. The routinely-recorded air traffic control data andassociated voice communication data were collected to statistically analyze the correlation betweencomplexity factors and pilot-controller voice communication loads. Results show that each complexity factor is significantly correlated with voice communication loads. To eliminate multicollinearity among complexity indicators, principle component analysis is performed to extract two principle components from complexity indicators. These variables were used to construct the multivariate regression equations of the communication durations, the communication frequencies, and the integrated voice communication load index. These equations can quantitatively describe and estimate air traffic controller’s voice communication loads.

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Perdana, Doan, Aji Nur Sanyoto, and Yoseph Gustommy Bisono. "Performance Evaluation and Comparison of Scheduling Algorithms on 5G Networks using Network Simulator." International Journal of Computers Communications & Control 14, no. 4 (August 5, 2019): 530–39. http://dx.doi.org/10.15837/ijccc.2019.4.3570.

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In this research, we compared the Round Robin (RR) and the Proportional Fair (PF) algorithms for different user equipment density scenarios using voice and video traffic, to evaluate the key impact on performance of 5G mmwave network. This research simulated on NS3.27 with an integrated mmwave module. Based on the result, we found that the RR is a good choice for voice traffic. It has a throughput of 3.65% better than PF with similar fairness index. On the other hand, we found that the PF is the right choice for video traffic due to has better result for throughput. It has a throughput of 1.24% better than RR. For fairness index round robin has better result for voice and video traffic.

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Daramola, Oladunni Abosede. "QUALITY OF SERVICE ISSUES IN WIRELESS VOICE OVER INTERNET PROTOCOL." International Journal of Advanced Research in Computer Science and Software Engineering 7, no. 10 (October 30, 2017): 57. http://dx.doi.org/10.23956/ijarcsse.v7i10.386.

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Voice over Internet Protocol (VoIP) is a significant application of the converged network principle where the voice traffic is routed over Internet Protocol shared traffic networks. VoIP traffic was modelled over wireless network and a simulation of the traffic was transmitted over the network. E-model technique was used to analyze the traffic data and also to rate VoIP QoS parameters. The result achieved was mapped to the Mean Opinion Scale to determine the Quality of Service of VoIP over wireless networks. The results shows that QoS in the VoIP communications is significantly impacted by these parameters and the impact varies according to the parameters and also the communication aspects selected for the VoIP traffic analysis.Keywords: VoIP, QoS, E-Model and Mean Opinion Scale

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Lee, J. R., and D. H. Cho. "Dual power-saving modes for voice over IP traffic supporting voice activity detection." IET Communications 3, no. 7 (2009): 1239. http://dx.doi.org/10.1049/iet-com.2008.0300.

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17

Gonsalves, Timothy A., and Fouad A. Tobagi. "Performance of the Expressnet with voice/data traffic." ACM SIGMETRICS Performance Evaluation Review 15, no. 1 (May 1987): 16–26. http://dx.doi.org/10.1145/29904.29908.

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18

Bregni, S., M. Decina, and G. Bruzzi. "Traffic trading in the competitive international voice market." IEEE Communications Magazine 47, no. 8 (August 2009): 100–106. http://dx.doi.org/10.1109/mcom.2009.5181899.

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19

Cai, L., X. Shen, J. W. Mark, L. Cai, and Y. Xiao. "Voice Capacity Analysis of WLAN With Unbalanced Traffic." IEEE Transactions on Vehicular Technology 55, no. 3 (May 2006): 752–61. http://dx.doi.org/10.1109/tvt.2006.874145.

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Nisar, Kashif, Angela Amphawan, and Suhaidi B. Hassan. "Comprehensive Structure of Novel Voice Priority Queue Scheduling System Model for VoIP Over WLANs." International Journal of Advanced Pervasive and Ubiquitous Computing 3, no. 4 (October 2011): 50–70. http://dx.doi.org/10.4018/japuc.2011100106.

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Voice over Internet Protocol (VoIP) has grown quickly in the world of telecommunication. Wireless Local Area Networks (WLANs) are the most performance assuring technology for wireless networks, and WLANs have facilitated high-rate voice services at low cost and good flexibility. In a voice conversation, each client works as a sender or a receiver depending on the direction of traffic flow over the network. A VoIP application requires high throughput, low packet loss, and a high fairness index over the network. The packets of VoIP streaming may experience drops because of the competition among the different kinds of traffic flow over the network. A VoIP application is also sensitive to delay and requires the voice packets to arrive on time from the sender to the receiver side without any delay over WLAN. The scheduling system model for VoIP traffic is an unresolved problem. The objectives of this paper are to identify scheduler issues. This comprehensive structure of Novel Voice Priority Queue (VPQ) scheduling system model for VoIP over WLAN discusses the essential background of the VPQ schedulers and algorithms. This paper also identifies the importance of the scheduling techniques over WLANs.

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Wangikar, Harsh, Priya Surana, Prakash Sawant, Napul Labde, and Akshat Shah. "A Review on Real-Time Traffic Sign Recognition with Voice Warnings." Research & Review: Machine Learning and Cloud Computing 1, no. 3 (December 6, 2022): 5–12. http://dx.doi.org/10.46610/rrmlcc.2022.v01i03.002.

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Road signs are essential for providing information to drivers. Understanding road signs are essential for ensuring traffic safety because doing so can stop 4484 accidents. The identification of traffic signs has been the focus of research in recent decades. Accurate real-time recognition is the cornerstone of a robust but underdeveloped traffic sign recognition system. This study provides drivers with real-time voice-advice traffic sign recognition technology. This system is composed of two subsystems. Using a trained convolutional neural network, the first recognizes and detects traffic signs (CNN). When the system notices a particular traffic sign, the text-to-speech engine is employed to play a voice message to the driver. An efficient- CNN model is built on the reference data set using deep learning methods for search and real-time search. This system's advantage is that it recognizes traffic signs and guides the car even if the driver overlooks, ignores, or doesn't understand them. Say. These technologies are also necessary for the development of autonomous vehicles.

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Faisal, Mohammed, Jia Uddin, and Shimul Shil. "Performance of VoIP Networks Using MPLS Traffic Engineering." Advanced Materials Research 457-458 (January 2012): 927–30. http://dx.doi.org/10.4028/www.scientific.net/amr.457-458.927.

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The implementation of Voice over Internet Protocol (VoIP) technology is on the increase because of its ability to enhance operating efficiency and reduce infrastructure cost. Voice and data packets traverse over IP networks with fixed maximum capacity. But susceptibility to traffic congestion which results in delay and packet losses is still a major challenge of VoIP technology. Multiprotocol Label Switching Protocol (MPLS) with Traffic Engineering (TE) is an approved standard technology that has the capabilities to minimize network congestion and improve network performance by reducing delay and packet loss to yield a higher throughput. In this paper, we investigate how MPLS Traffic Engineering can be implemented to reduce traffic congestion on VoIP networks.

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Lebl, Aleksandar, Dragan Mitić, Žarko Markov, and Mihailo Stanić. "Comparison of two methods for subchannel seizure in gsm cell using vamos technics." Journal of Electrical Engineering 69, no. 3 (June 1, 2018): 205–11. http://dx.doi.org/10.2478/jee-2018-0027.

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Abstract This paper considers two methods for voice channel seizure in one GSM cell, which uses VAMOS technics for traffic efficiency improvement. An important characteristic for models comparison is call loss caused by unsuccessful connection pairing in one timeslot. The first method gives priority to voice connection quality, and the other one to traffic efficiency. The methods are estimated by the simulation, which is first tested by comparing its results to the calculation results for a very small system. The influences of traffic intensity, allowed power difference of two paired connections and attenuation coefficient on the loss caused by unsuccessful pairing are assessed.

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Nisar, Kashif. "Voice Priority Queue Scheduling System Models for VoIP over WLANs." International Journal of Information Communication Technologies and Human Development 5, no. 1 (January 2013): 36–59. http://dx.doi.org/10.4018/jicthd.2013010103.

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The Voice over Internet Protocol (VoIP) is a delay sensitive traffic due to real-time applications on networks. The assessment of voice flow quality in the VoIP is an essential requirement for technical and commercial motivation. The packets of VoIP streaming may experience drops because of the competition among the different kinds of traffic flow over the network. A VoIP application is also sensitive to delay and requires the voice packets to arrive on time from the sender to the receiver side without any delay over WLAN. The scheduling system model for VoIP traffic is an unresolved problem. In this research paper, the author proposes a new Voice Priority Queue (VPQ) scheduling system models and algorithms for the VoIP over WLANs to solve scheduling issues over IP-based networks. They present new contributions, through the three stages of the VPQ. The VPQ scheduling algorithm is provided as an essential technique in the VoIP communication networks to guarantee the QoS requirements. The design of the VPQ is managed by the limited bandwidth utilization and has been proven to have an efficient performance over WLANs.

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Sarkar, Nurul I., and Kashif Nisar. "Performance of VoIP in Wired-Cum-Wireless Ethernet Network." International Journal of Interdisciplinary Telecommunications and Networking 4, no. 4 (October 2012): 1–25. http://dx.doi.org/10.4018/jitn.2012100101.

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The Voice over Internet Protocol (VoIP) is a rapidly growing technology that enables transport of voice over data networks such as Ethernet Local Area Networks (LANs). This growth is due to the integration of voice and data traffic over the existing network infrastructure, low cost, and improved network management offered by the technology. This paper reports on the performance of VoIP traffic characteristics in a wired-cum-wireless Ethernet LAN. The effect of increasing the number of VoIP wireless clients, different voice codec schemes, and packet arrival distributions on system performance is investigated. Through various simulation experiments under realistic network scenarios, such as Small Office Home Office (SOHO) and campus networks, this paper provides an insight into the performance of VoIP over Ethernet LANs. Simulation results show that VoIP clients and voice codec schemes have significant effect on system performance. The authors preformed OPNET-based simulations to validate their experiments.

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Burczyk, Robert, Krzysztof Cwalina, Malgorzata Gajewska, Jaroslaw Magiera, Piotr Rajchowski, Jaroslaw Sadowski, and Jacek Stefanski. "Voice Multilateration System." Sensors 21, no. 11 (June 4, 2021): 3890. http://dx.doi.org/10.3390/s21113890.

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This paper presents an innovative method of locating airplanes, which uses only voice communication between an air traffic controller and the pilot of an aircraft. The proposed method is described in detail along with its practical implementation in the form of a technology demonstrator (proof of concept), included in the voice communication system (VCS). A complete analysis of the performance of the developed method is presented, including the results of simulation and measurement tests in real conditions. The obtained results are very optimistic and indicate that the proposed solution may constitute an alternative method of locating aircraft in emergency conditions, i.e., a backup solution in the case of failure of other positioning systems.

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Firame, Swati, Kartik Jagtap, Chinmay Shendkar, Swapnil Dahiphale, and Shubham Sankapal. "Traffic Sign Detection." International Journal for Research in Applied Science and Engineering Technology 11, no. 4 (April 30, 2023): 3438–40. http://dx.doi.org/10.22214/ijraset.2023.50966.

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Abstract: Traffic signs are important to ensure smooth traffic flow without bottle necks or mishaps. Road Symbols are the pictorial representation having different necessary information required to be understood by driver. Road signs in front of the vehicle are ignored by the drivers and this can lead to catastrophic accidents. This paper presents an overview of the traffic sign board detection and recognition and implements a procedure to extract the road sign from a natural complex image, processes it and it alerts the driver using text or voice command. It is implemented in such a way that it acts as a boon to drivers to make easy decisions.

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Kasprzyk, Zbigniew, and Mariusz Rychlicki. "The Use of Bluetooth Standard for Communication Between Vehicles Under Traffic." Journal of KONBiN 45, no. 1 (March 1, 2018): 67–82. http://dx.doi.org/10.2478/jok-2018-0004.

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Abstract Bluetooth is a type of wireless communication used to transmit voice and data at high speeds using radio waves. It is a standard protocol for short-range radio communications between many different types of devices, including mobile phones, computers and other electronics [1]. The use of this type of data transmission standard for voice communications at close range in the vehicle is commonly known. The trend of integrating new services in vehicles increases rapidly and Bluetooth is one of the emerging communication technologies for realizing ad-hoc networks. The paper presents the possibility of using Bluetooth to build ad-hoc network suitable for the transmission of sound, in particular voice data using the modulation GSFK. We analyzed the features or problems that Bluetooth offers for transmitting audio data in an ad-hoc network. Some initial results of simulations and real-life tests give an impression of the performance and efficiency this standard for the transmission of voice data in an ad-hoc networks [2].

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Tsankov, B. P., R. A. Pachamanov, and D. A. Pachamanova. "Modified Brady voice traffic model for WLAN and WMAN." Electronics Letters 43, no. 23 (2007): 1295. http://dx.doi.org/10.1049/el:20072425.

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30

Capone, Jeffrey M., and Lazaros F. Merakos. "Integrating data traffic into a CDMA cellular voice system." Wireless Networks 1, no. 4 (December 1995): 389–401. http://dx.doi.org/10.1007/bf01985752.

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Habib, Ibrahim W., and Tarek N. Saadawi. "Access control of bursty voice traffic in ATM networks." Computer Networks and ISDN Systems 27, no. 10 (September 1995): 1411–27. http://dx.doi.org/10.1016/0169-7552(94)00017-n.

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Kasprzyk, Zbigniew, and Mariusz Rychlicki. "The Use of Bluetooth Standard for Communication Between Vehicles Under Traffic." Journal of KONBiN 46, no. 1 (June 1, 2018): 153–69. http://dx.doi.org/10.2478/jok-2018-0028.

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Abstract Bluetooth is a type of wireless communication used to transmit voice and data at high speeds using radio waves. It is a standard protocol for short-range radio communications between many different types of devices, including mobile phones, computers and other electronics [1]. The trend of integrating new services in vehicles increases rapidly and Bluetooth is one of the emerging communication technologies for realizing ad-hoc networks. The paper presents the possibility of using Bluetooth to build ad-hoc network suitable for the transmission of sound, in particular voice data using the modulation GSFK. We analyzed the features or problems that Bluetooth offers for transmitting audio data in an ad-hoc network. Some initial results of simulations and real-life tests give an impression of the performance and efficiency this standard for the transmission of voice data in an ad-hoc networks [2].

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Gerk, Livia F., and Débora C. Muchaluat-Saade. "Voice Traffic Service Guarantee in Wireless Mesh Networks Based on IEEE 802.11e." International Journal of Business Data Communications and Networking 8, no. 4 (October 2012): 49–66. http://dx.doi.org/10.4018/jbdcn.2012100104.

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The IEEE 802.11e standard is mostly concerned with traffic differentiation in single-hop infrastructured wireless networks. Wireless mesh networks use several wireless hops in order to forward packets to their destination. A significant issue is that the standard does not map network characteristics into the access protocol parameters it provides. This paper investigates different configurations of the IEEE 802.11e access parameters in wireless mesh networks and proposes two configuration settings. Both proposals provide voice traffic service guarantee without significantly degrading the performance of other multimedia traffic classes, as demonstrated by simulation experiment results.

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Hu, Yi, Zhuo Liu, Aiqin Hou, Chase Wu, Wenbin Wei, Yanjun Wang, and Min Liu. "On Fatigue Detection for Air Traffic Controllers Based on Fuzzy Fusion of Multiple Features." Computational and Mathematical Methods in Medicine 2022 (October 11, 2022): 1–10. http://dx.doi.org/10.1155/2022/4911005.

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Fatigue detection for air traffic controllers is an important yet challenging problem in aviation safety research. Most of the existing methods for this problem are based on facial features. In this paper, we propose an ensemble learning model that combines both facial features and voice features and design a fatigue detection method through multifeature fusion, referred to as Facial and Voice Stacking (FV-Stacking). Specifically, for facial features, we first use OpenCV and Dlib libraries to extract mouth and eye areas and then employ a combination of M-Convolutional Neural Network (M-CNN) and E-Convolutional Neural Network (E-CNN) to determine the state of mouth and eye closure based on five features, i.e., blinking times, average blinking time, average blinking interval, Percentage of Eyelid Closure over the Pupil over Time (PERCLOS), and Frequency of Open Mouth (FOM). For voice features, we extract the Mel-Frequency Cepstral Coefficients (MFCC) features of speech. Such facial features and voice features are fused through a carefully designed stacking model for fatigue detection. Real-life experiments are conducted on 14 air traffic controllers in Southwest Air Traffic Management Bureau of Civil Aviation of China. The results show that the proposed FV-Stacking method achieves a detection accuracy of 97%, while the best accuracy achieved by a single model is 92% and the best accuracy achieved by the state-of-the-art detection methods is 88%.

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Kljak, Tomislav, Marijan Bolarić, and Marijan Binički. "Impact of Mobile Telecommunications Traffic on the Development of Postal Traffic." PROMET - Traffic&Transportation 23, no. 5 (January 26, 2012): 359–65. http://dx.doi.org/10.7307/ptt.v23i5.154.

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The key hypothesis of the paper is the existence of a particular impact occurring between the development of mobile telecommunications traffic and the development of postal traffic. The objective of the paper is to ascertain the strength of the impact as well as the nature (type) of the impact in the case of the state of the art in the Republic of Croatia. Relevant data have been collected regarding the number of postal services realised (letters and parcels), minutes referring to duration of the voice conversations within, from and towards mobile networks as well as the number of text messages (SMSs) sent. The interrelations between the postal traffic and mobile telecommunications traffic have been determined following the multi-regression linear modelling which has been statistically tested after having been determined. KEY WORDS: postal traffic, multi-regression modelling, mobile telecommunications traffic

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Nisar, Kashif, and Nurul I. Sarkar. "Modeling and Performance Studies of ATM Networks Over Voice and Video." International Journal of Technology Diffusion 3, no. 3 (July 2012): 47–56. http://dx.doi.org/10.4018/jtd.2012070105.

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The Advanced Network Technologies is a research that investigates the technology(s) behind today’s modern networks and network infrastructures one of these technologies being Asynchronous Transfer Mode (ATM). Therefore, also focuses its attention on ATM. Dubbed “Modelling and Performance Studies of ATM Networks”; this research seeks to look at, and into, the impact of application segment length on the performance of an ATM network and the impact of traffic type data on the performance of an ATM network. To be able to examine an ATM network, we need to be able to simulate it somehow. This research, the authors have used the OPNET Modeler 14.0 simulation tool to create a network model that represents a real-life ATM network. And by actually simulating an ATM network at AUT University New Zealand, they can therefore change certain variables, and observe the effects the changes have on performance. As stated above, one of the impacts that will be explored is the effect that application segment length has on an ATM network. Thus, one variable that will be changed in our simulation is the segment length. This is the length of each packet segment that is sent through the network for a particular traffic type. The second impact to be inspected is the impact of different traffic types on an ATM network. For example, voice & video traffic should theoretically affect an ATM network

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Ouyang, Ye, and Hosein Fallah. "Optimizing the Traffic of Voice Core Domain in UMTS Network through RNC Re-homing." International Journal of Interdisciplinary Telecommunications and Networking 2, no. 4 (October 2010): 1–14. http://dx.doi.org/10.4018/jitn.2010100101.

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The past few years have seen mobile operators transition to next-generation mobile networks, specifically from third-generation networks (3G) to long term evolution (LTE). This paper describes the basic architecture and topology of UMTS R4 core network and introduces two options in network planning, i.e., flat structure or layered structure. This paper introduces the re-homing of radio network controller (RNC) and base station controller (BSC) and studies the impact on the performance of voice core of UMTS networks. The proposed RNC re-homing models are created and analyzed for voice core of UMTS networks. The paper concludes that the appropriate RNC re-homing optimizes the traffic of voice core in UMTS network.

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Chen, Jeanne. "MOBILE DEVICE OF VOIP VOICE TRAFFIC ANALYSIS FOR RED5 SERVICE." International Journal of Electronic Commerce Studies 6, no. 2 (December 2015): 305–14. http://dx.doi.org/10.7903/ijecs.1240.

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Prinzo, O. Veronika, and Daniel G. Morrow. "Improving Pilot/Air Traffic Control Voice Communication in General Aviation." International Journal of Aviation Psychology 12, no. 4 (October 2002): 341–57. http://dx.doi.org/10.1207/s15327108ijap1204_2.

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Kim, Young-Dong. "Transmission Performance of Voice Traffic on MANET under Grayhole Attack." Journal of the Korea institute of electronic communication sciences 10, no. 12 (December 31, 2015): 1411–16. http://dx.doi.org/10.13067/jkiecs.2015.10.12.1411.

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Kabashkin, Igor, and Vadim Philippov. "Distributed ecosystem of voice communications for air traffic control system." Procedia Computer Science 177 (2020): 32–39. http://dx.doi.org/10.1016/j.procs.2020.10.008.

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Mishra, P. P., and H. Saran. "Capacity management and routing policies for voice over IP traffic." IEEE Network 14, no. 2 (2000): 20–27. http://dx.doi.org/10.1109/65.826368.

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Wang, P., H. Jiang, and W. Zhuang. "Capacity Improvement and Analysis for Voice/Data Traffic over WLANs." IEEE Transactions on Wireless Communications 6, no. 4 (April 2007): 1530–41. http://dx.doi.org/10.1109/twc.2007.348349.

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Danaei Yeganeh, Farhad, and Afshin Ebrahimi. "Dynamic spectrum refarming for GERAN/EUTRAN considering GERAN voice traffic." Telecommunication Systems 73, no. 4 (October 22, 2019): 507–20. http://dx.doi.org/10.1007/s11235-019-00625-0.

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Roussos, J. K., E. G. Economou, and P. Georgiadis. "Congestion avoidance in high speed interconnected voice data traffic LANs." Computer Communications 17, no. 4 (April 1994): 242–50. http://dx.doi.org/10.1016/0140-3664(94)90078-7.

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Mandjes, M., I. Saniee, and A. L. Stolyar. "Load Characterization and Anomaly Detection for Voice Over IP Traffic." IEEE Transactions on Neural Networks 16, no. 5 (September 2005): 1019–26. http://dx.doi.org/10.1109/tnn.2005.853427.

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Mandjes, Michel, Iraj Saniee, and Alexander Stolyar. "Load chracterization and anomaly detection for voice over IP traffic." ACM SIGMETRICS Performance Evaluation Review 29, no. 1 (June 2001): 326–27. http://dx.doi.org/10.1145/384268.378816.

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Velloso, Pedro Braconnot, Marcelo G. Rubinstein, and Otto Carlos M. B. Duarte. "Evaluating voice traffic requirements on IEEE 802.11 ad hoc networks." annals of telecommunications - annales des télécommunications 63, no. 5-6 (April 29, 2008): 321–29. http://dx.doi.org/10.1007/s12243-008-0032-7.

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Yousef, Sufian, Haider Albonda, Shashikala Tapaswi, Michael Cole, and Sanjeev Deshmukh. "The impact of mobility and node capacity on voice traffic." International Journal of System Assurance Engineering and Management 8, S2 (March 31, 2017): 1374–82. http://dx.doi.org/10.1007/s13198-017-0606-8.

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Tadenuma, Mioko, Osamu Arakawa, and Iwao Sasase. "Performance analysis of noncollision PRMA for data and voice traffic." Electronics and Communications in Japan (Part I: Communications) 84, no. 12 (December 2001): 13–21. http://dx.doi.org/10.1002/ecja.1056.

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