Journal articles on the topic 'Telecommunication - Traffic - Management'
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1
Hellendoorn, Hans, and Rudolf Seising. "Fuzzy Traffic Management for Modern Telecommunications." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 06, no. 02 (April 1998): 189–99. http://dx.doi.org/10.1142/s0218488598000173.
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We describe applications of fuzzy logic in the area of broadband telecommunication networks. Call Admission Control (CAC) and Usage Parameter Control (UPC) play an important role in the traffic management of ATM networks (Asynchronous Transfer Mode). We present "fuzzy solutions" for this control tasks and we show their success by presenting simulation results and heuristic valuations.
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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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Rodriguez-Hernandez, Miguel A., Zhuhan Jiang, Angel Gomez-Sacristan, and Vicent Pla. "Intelligent Municipal Heritage Management Service in a Smart City: Telecommunication Traffic Characterization and Quality of Service." Wireless Communications and Mobile Computing 2019 (February 7, 2019): 1–10. http://dx.doi.org/10.1155/2019/8412542.
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The monitoring of cultural heritage is becoming common in cities to provide heritage preservation and prevent vandalism. Using sensors and video cameras for this task implies the need to transmit information. In this paper, the teletraffic that cameras and sensors generate is characterized and the transmissions’ influence on the municipal communications network is evaluated. Then, we propose models for telecommunication traffic sources in an intelligent municipal heritage management service inside a smart sustainable city. The sources were simulated in a smart city scenario to find the proper quality of service (QoS) parameters for the communication network, using Valencia City as background. Specific sensors for intelligent municipal heritage management were selected and four telecommunication traffic sources were modelled according to real-life requirements and sensors datasheet. Different simulations were performed to find the proper CIR (Committed Information Rate) and PIR (Peak Information Rate) values and to study the effects of limited bandwidth networks. Packet loss, throughput, delay, and jitter were used to evaluate the network’s performance. Consequently, the result was the selection of the minimum values for PIR and CIR that ensured QoS and thus optimized the traffic telecommunication costs associated with an intelligent municipal heritage management service.
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Monakhov, Yury M., Anna P. Kuznetsova, and Maria R. Ismailova. "Traffic queue management algorithm for availability control in telecommunication networks." Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes 15, no. 3 (2019): 385–96. http://dx.doi.org/10.21638/11701/spbu10.2019.308.
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Monakhov, Yury M., Anna P. Kuznetsova, and Maria R. Ismailova. "Traffic queue management algorithm for availability control in telecommunication networks." Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes 15, no. 3 (2019): 385–96. http://dx.doi.org/10.21638/11702/spbu10.2019.308.
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Han, Ke. "Framework for Real-Time Traffic Management with Case Studies." Transportation Research Record: Journal of the Transportation Research Board 2658, no. 1 (January 2017): 35–43. http://dx.doi.org/10.3141/2658-05.
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This paper focuses on real-time traffic management facilitated by modern telecommunication technologies and advanced real-time optimization algorithms. The discussion begins with a recent European project that provides a real-time decision support system for the reduction of traffic congestion and emissions. The workflow and techniques involved therein are explained and issues and potential gaps identified. A more generic real-time decision-making framework based on decision rules and distributionally robust optimization is then introduced. The paper illustrates the wide applicability and unique advantages of such a framework with case studies on responsive signal control, use of an adaptive variable message sign, and air traffic management.
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COWARD, ANDREW, TOM GEDEON, and WILLIAM KENWORTHY. "APPLICATION OF THE RECOMMENDATION ARCHITECTURE TO TELECOMMUNICATIONS NETWORK MANAGEMENT." International Journal of Neural Systems 11, no. 04 (August 2001): 323–27. http://dx.doi.org/10.1142/s0129065701000783.
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The recommendation architecture has been proposed as a system architecture which can enable a system to learn to perform a complex combination of interrelated functions. The capability of a system with the recommendation architecture to learn to manage complex telecommunication backbone networks has been investigated. A network model with a number of nodes and links and carrying realistic but randomly generated traffic was used as the target for the management system. Traffic data taken from the model was used as input to the recommendation architecture system. The traffic data was organized into inputs once every 5 minutes, and the management system organized these inputs into a hierarchy of repetition similarity. It was demonstrated that the outputs of this hierarchy provided information on the condition of the network. This output information was a compressed version of the inputs which correlated with major network conditions.
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.., Abedallah Z., Rasha .., and William Thompson. "Multi-attribute decision-making method for prioritizing autonomous vehicles in real-time traffic management: towards active sustainable transport." International Journal of Wireless and Ad Hoc Communication 3, no. 2 (2022): 91–101. http://dx.doi.org/10.54216/ijwac.030204.
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In order to alleviate traffic congestion, traffic control systems are an important tool. These systems strive to boost the efficiency of road systems to optimize traffic flow on individual road segments. The benefits of real-time traffic control systems might be increased by integrating new telecommunication and autonomous car technology. There is six real-time traffic advancing sustainable development examined in this study: variable message signs and ramp meters, traffic diversion, and the integration of driverless vehicles into other traffic management systems, with four key criteria: economics, community and social, ecologic and traffic security, as well as 13 sub-criteria using MCDM. To do this, we offer unique additions to the WASPAS technique.
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Wu, Xinyun, Zhipeng Lü, and Fred Glover. "A matheuristic for a telecommunication network design problem with traffic grooming." Omega 90 (January 2020): 102003. http://dx.doi.org/10.1016/j.omega.2018.11.012.
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Ramadža, Ines, Vesna Pekić, and Julije Ožegović. "Network Performance Criteria for Telecommunication Traffic Types driven by Quality of Experience." Journal of communications software and systems 15, no. 3 (September 15, 2019): 233–44. http://dx.doi.org/10.24138/jcomss.v15i3.738.
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A common reason for changing the chosen service provider is the users' perception of service. Quality of Experience (QoE) describes the end user's perception of service while using it. A frequent cause of QoE degradation is inadequate traffic routing, where, other than throughput, selected routes do not satisfy minimum network requirements for the given service or services. In order to enable QoE-driven routing, per traffic type defined routing criteria are required. Our goal was to obtain those criteria for relevant services of a telecom operator. For the purpose of identifying services of interest, we first provide short results of user traffic analysis within the telecom operator network. Next, our work presents testbed measurements which explore the impact of packet loss and delay on user QoE for video, voice, and management traffic. For video services, we investigated separately multicast delivery, unicast HTTP Live Streaming (HLS), and unicast Real Time Streaming Protocol (RTSP) traffic. Applying a threshold to QoE values, from the measured dependencies we extracted minimum network performance criteria for the investigated different types of traffic. Finally, we provide a comparison with results available in the literature on the topic.
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BENNANI, YOUNÈS, and FABRÌCE BOSSAERT. "MODULAR CONNECTIONIST MODELLING AND CLASSIFICATION APPROACHES FOR LOCAL DIAGNOSIS IN TELECOMMUNICATION TRAFFIC MANAGEMENT." International Journal of Computational Intelligence and Applications 01, no. 01 (March 2001): 53–70. http://dx.doi.org/10.1142/s146902680100007x.
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In Neural Networks (NN) applications, it is common practice to train several different networks and select the best one on the basis of performance on a validation set. There is a major disadvantage of such an approach: the network with the best performance on the validation set might not be the best one on new test data. In fact, the generalization performance on the validation set has a random component that is due to the data noise. An alternative approach to this problem is to use a combination of multiple NN classifiers. It is well known that such combinations can produce better performance than the best single network used in isolation. Several studies in different fields of the pattern recognition have experimentally shown that an appropriate combination of NN classifiers allows to capture complex phenomena, and to make decisions even with a great deal of information.3,11,12 The combination of multiple classifiers is a general problem in the pattern recognition area. Several methods for combining the outputs of multiple classifiers have been proposed: ensemble methods,14 boosting approaches,9 stacking techniques,27 multi-expert systems,2,16 and multi-modular architectures.3,13,18 A very rich synthesis of different methods of combining classifiers can be found in Ref. 28. An analytical framework to quantify the improvements in classification results that is due to combining classifiers is provided in Ref. 26. In this paper some contributions in combining multiple NN classifiers are presented. We give a combinational approach based on multi-modular systems for local diagnosis problem in the telephone network. In addition, we propose a combinational method for discrimination task using a fusion. The system validation will be performed on a disturbance identification problem.
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Voronin, S., V. Doroshenko, and Y. Ksenofontov. "Radiochannels of Meteor-Burst Communication Network of the Northern Sea Route." Proceedings of Telecommunication Universities 5, no. 3 (2019): 13–18. http://dx.doi.org/10.31854/1813-324x-2019-5-3-13-18.
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The aim of this article is to justify the usefulness of meteor communication network usage as a telecommunication basis on the access connectivity network for Vessel traffic management on their way to the Arctic Russian infrastructure in the coastal zone of the northern sea route. It represent us the main options, from the point of view of system analysis, which characterise the telecommunication technologies of meteor connection, structural-functional scheme, generalized mathematical model of the network consisting of the radiotransmitter and receiver including antenna systems. It is represented the usage of adaptive antenna grids as UHF antenna systems.
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Yende, Raphael Grevisse, Tshiela Marie Alice Nkuna, Kazadi Pamphile Mulumba, Ntumba Freddy Katayi, Kaseka Viviane Katadi, Musubao Patient Swambi, and Muamba Bernard Tshiasuma. "Signal performance optimization in the local area network trafic management in the DRC : Models for transmission networks." European Journal of Computer Science and Information Technology 10, no. 5 (May 15, 2022): 1–23. http://dx.doi.org/10.37745/ejcsit.2013/vol10n5123.
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The high availability of computer networks is a prerequisite in large companies and service providers. Thus, computer network administrators are called upon to face the various growing challenges related to unscheduled downtime of services; lack of expertise; lack of tools; the complexity of technologies; market consolidation and competition to provide better quality services. It should be remembered that the organization of the networks of telecommunication aims at giving control of the phenomena which occur there, during the treatment of the communications, and more generally of the services which they offer. These phenomena are governed by the randomness of the appearance of the requests, and are studied independently of the choices of technology implemented. They are amenable to the formalism of the calculation of probabilities, and give birth to the notion of traffic, which will play a central role in their apprehension, given that they condition for a large part the effective structure of modern networks. This research specifically examines the problems of optimization of signal performance in traffic management of local area networks of companies in the Democratic Republic of Congo, by presenting the different elements of network traffic theory and quality. Thus demonstrating their impact on the architectures of networks and computer systems, and at the same time introducing the major problems faced by IT network administrators on a daily basis; The main objective of this research is to evaluate the development performance of computer and telecommunications networks according to their applications in the areas of network design, equipment dimensioning, and characterization and quality measurement. Service, and network planning techniques.
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Zakalkin, Pavel. "EVOLUTION OF CYBERSPACE MANAGEMENT SYSTEMS." Voprosy kiberbezopasnosti, no. 1(47) (2022): 76–86. http://dx.doi.org/10.21681/2311-3456-2022-1-76-86.
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The purpose of the study: to identify the main systems that control cyberspace and the key elements whose management will allow controlling a given segment of cyberspace. Research method: theory of complex systems; synergetic. Result: The paper considers the main control systems that play a key role in the management of cyberspace, highlights the structural elements of cyberspace and their interrelations with each other. Regional and local Internet registrars are considered, their coherence graph is presented, as well as the coherence graph by country. Based on the study, the author’s vision of the organizational structure of the cyberspace management system (in relation to domain names and IP addresses). Autonomous systems and traffic exchange points are considered, the structure of external connectivity of autonomous systems and its change over time are given on examples. The largest telecommunication alliances are presented, which have an impact on the activities of telecom operators (directly or indirectly) and, as a result, on the set of resources and services (as well as their cost) received by end users provided by telecommunication operators. Scientific novelty: the considered structure of the cyberspace management system made it possible to identify the main systems that control cyberspace and the key elements whose management will allow controlling a given segment of cyberspace.
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Cole Smith, J. "Algorithms for distributing telecommunication traffic on a multiple-ring SONET-based network." European Journal of Operational Research 154, no. 3 (May 2004): 659–72. http://dx.doi.org/10.1016/s0377-2217(02)00804-4.
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Mitic, Dragan, Aleksandar Lebl, Branimir Trenkic, and Zarko Markov. "Influence of the call forwarding busy service on the traffic distribution in the group of telephone channels." Yugoslav Journal of Operations Research 27, no. 1 (2017): 99–107. http://dx.doi.org/10.2298/yjor150522004m.
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In this paper we consider the influence of a call forwarding service on the traffic process in modern telecommunication networks. We analyse in detail only the case when the called user is busy. It is proved that call forwarding not only increases utilization of servers and the percent of successful calls but it also increases the call loss. On the simple example, we showed that this call loss increase is greater in the case of local (internal) and incoming calls, but smaller in the case of outgoing calls. The reason for such behaviour is in the role of call forwarding function in the case of internal and incoming traffic. In that situation call forwarding function decreases the effect of limited number of users on the decrease of offered traffic, comparing to the case of internal and incoming traffic without call forwarding (Engset traffic model). This statement is illustrated by comparative graphics of traffic loss without call forwarding function, and with this function when considering, separately, internal, incoming, and outgoing traffic.
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Zhang, Ning. "Control and Operation to Hybrid Optical Network." Advanced Materials Research 186 (January 2011): 576–80. http://dx.doi.org/10.4028/www.scientific.net/amr.186.576.
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In this paper, a novel hybrid optical network system is presented. The continuing increase of data traffic keeps the pressure on the backbone telecommunication networks requiring more diverse and more intelligent allocation of capacity. Optical networking has become a key technology in accommodating the rapidly expanding Internet traffic. Hybrid nodes are now playing a key role in optical networks by facilitating efficient traffic management. New optical networks are expected to support the increasing network load by employing both sophisticated transmission (wavelength division multiplexing division (WDM)) and switching technologies (optical switches and cross-connects). This study will explain how the hybrid nodes achieve with different network models and make it operation through innovative technical designs.
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Qian, Fengchen, Yalin Ye, Ning Shan, and Bing Su. "A Novel Architecture of Telecommunication Networks for Next Generation Internet." MATEC Web of Conferences 173 (2018): 03036. http://dx.doi.org/10.1051/matecconf/201817303036.
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In this paper, we present a novel DC-centric architecture of telecommunication networks for next generation Internet. Data flow become the major traffic in existing telecommunication networks. Traditional computer networks and telecom networks meet many challenges in high-quality service, innovation, evolution, and management. Based on analysis existing telecom networks’ challenges, a DC-centric telecom network architecture with splitting the data plane from the control plane is proposed. The DC-centric telecom network is a widely-distributed data center network (DCN), which is composed of thousands of public or private DCs. Each DC not only plays the role of storage and computing, but also is a network node of data aggregation, switching, and routing. We also design an optical switching, which is evaluated by experiment.
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Gräf, Peter. "Integrated traffic management by telecommunication. Spatial impacts of co-operation between public and private transport." Netcom 10, no. 1 (1996): 299–308. http://dx.doi.org/10.3406/netco.1996.1329.
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Vishnevsky, Vladimir, and Olga Semenova. "Polling Systems and Their Application to Telecommunication Networks." Mathematics 9, no. 2 (January 7, 2021): 117. http://dx.doi.org/10.3390/math9020117.
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The paper presents a review of papers on stochastic polling systems published in 2007–2020. Due to the applicability of stochastic polling models, the researchers face new and more complicated polling models. Stochastic polling models are effectively used for performance evaluation, design and optimization of telecommunication systems and networks, transport systems and road management systems, traffic, production systems and inventory management systems. In the review, we separately discuss the results for two-queue systems as a special case of polling systems. Then we discuss new and already known methods for polling system analysis including the mean value analysis and its application to systems with heavy load to approximate the performance characteristics. We also present the results concerning the specifics in polling models: a polling order, service disciplines, methods to queue or to group arriving customers, and a feedback in polling systems. The new direction in the polling system models is an investigation of how the customer service order within a queue affects the performance characteristics. The results on polling systems with correlated arrivals (MAP, BMAP, and the group Poisson arrivals simultaneously to all queues) are also considered. We briefly discuss the results on multi-server, non-discrete polling systems and application of polling models in various fields.
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DEUSSOM DJOMADJI, Eric Michel, Bequerelle MATEMTSAP MBOU, Aurelle TCHAGNA KOUANOU, Michael EKONDE SONE, and Parfait BAYONBOG. "Machine learning-based approach for designing and implementing a collaborative fraud detection model through CDR and traffic analysis." Transactions on Machine Learning and Artificial Intelligence 10, no. 4 (August 23, 2022): 46–58. http://dx.doi.org/10.14738/tmlai.104.12854.
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Fraud in telecommunications networks is a constantly growing phenomenon that causes enormous financial losses for both the individual user and the telecommunications operators. We can denote many researchers who have proposed various approaches to provide a solution to this problem, but still need to be improve to ensure the efficiency. Detecting fraud is difficult and, it's no surprise that many frauds schemes have serious limitations. Different types of fraud may require different systems, each with different procedures, parameter adjustments, database interfaces, and case management tools and capabilities. This article uses the K-Means algorithm to handle fraud detection based on Call Detail Record (CDR) and traffic analysis in a telecommunication industry. Our algorithm consists to compare traffic and CDR generated in the network and check if there is abnormal behavior and if yes, our model is used to confirm if users suspecting of fraud are really fraudster or not. To build our model we used real word CDR data collected in November 2021. Our model associates the Differential Privacy model to encrypt users' personal information, and the k-means algorithm to group users into different clusters. Those clusters represent non fraud users having similar characteristics based on criteria used to build the model. Users having abnormal behavior that can be assimilated to fraudsters are those who are far from the different clusters center. Thanks to a representation in a plan, we better visualize user’s behavior. We validated our model by evaluating our segmentation method. The interpretation of the results shows sufficiently that our approach allows to obtain better results. Our approach can be used by all telecommunications operator to reduce the impact of fraud on internet services.
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Leiter, Ákos, and László Bokor. "A Flow-Based and Operator-Centric Dynamic Mobility Management Scheme for Proxy Mobile IPv6." Wireless Communications and Mobile Computing 2019 (April 14, 2019): 1–21. http://dx.doi.org/10.1155/2019/4567317.
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The continuous increase of mobile data traffic volume creates new challenges for telecommunication network operators. As a possible solution, many traffic offloading techniques have been proposed. In parallel, there is a trend to handle all the access techniques under the umbrella of IP, including non-3GPP networks (e.g., Wi-Fi), mainly with the help of IPv6. In this paper we provide a new architectural proposal in Evolved Packet Core (EPC) described as flow-based and operator-centric dynamic mobility management with Proxy Mobile IPv6 (PMIPv6). This new approach is supported by current EPC entities including Policy and Charging Rules Function (PCRF), Access Network Discovery and Selection Function (ANDSF), and Local Mobility Anchor (LMA) and by defining a novel communication scheme between them. The proposal was evaluated in a virtual testbed environment, and measurements based simulations were carried out where the solution showed significant benefits by enhancing operator flexibility, increasing user experience, and decreasing signaling overhead due to its highly dynamic operation and optimized flow-level behavior.
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Akhwaba, James Konya. "The Moderating Influence of Project Scope on Leadership Skills, Stakeholder Management, and Execution of Fibre Optic Infrastructure." Advances in Civil Engineering 2020 (August 24, 2020): 1–13. http://dx.doi.org/10.1155/2020/5648394.
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Telecommunication and Internet service enterprise has drastically evolved in the last 10 years across the globe. With demand for huge amounts of data and increased voice traffic, optical fibre is globally preferred technology to transmit high-speed broadband. Nonetheless, fibre optic infrastructure involves construction challenges and continues to fail for several reasons including ineffective leadership, poor stakeholder management, and unclear scope definition. The main purpose of this study was to investigate the moderating influence of project scope on leadership skills, stakeholder management, and execution of fibre optic infrastructure. The study adopted the pragmatism paradigm approach, with a cross-sectional survey design. Questionnaire, interview guide, and document review guide were data collection instruments. Census was used to select 187 respondents from a target population of 187 functional members of staff in fibre optic infrastructure departments of two mobile telecommunication, four Internet service companies, and two policy-making and regularity authorities in Nairobi County in Kenya. Quantitative data was analyzed by descriptive and inferential statistics while qualitative data was analyzed by content analysis. It was demonstrated that project scope has a positive and significant moderating influence on the combined influence of leadership skills and stakeholder management on execution of fibre optic infrastructure. This study contributes to the literature in project management by not only providing empirical evidence on project scope, leadership skills, stakeholder management, and execution of fibre optic infrastructure but also by expanding research on project scope. The results may also help professionals in mobile telecommunication and construction industries by providing strategic guideline in effective, efficient, and sustainable execution of fibre optic infrastructure.
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Benyahia, Ilham. "A Survey of Ant Colony Optimization Algorithms for Telecommunication Networks." International Journal of Applied Metaheuristic Computing 3, no. 2 (April 2012): 18–32. http://dx.doi.org/10.4018/jamc.2012040102.
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Optical and ad-hoc networks which fulfill the communications requirements of complex applications must meet the Quality of Service (QoS) demanded by these applications, such as transmission delay. These demands are hard to satisfy in the presence of unpredictable behavior in the environment such as interference, traffic congestion, etc. Algorithms based on Ant Colony Optimization (ACO) offer an effective approach to meet such challenges since they are well suited to the dynamic routing optimization and dynamic resource reassignment required by these applications. In this paper, the author presents a survey of Ant Colony Optimization variants applied to ad-hoc and optical networks. The ACO variant called AntHocNet in particular will be reviewed, analyzed, and criticized from the point of view of emergent applications for environment management such as Intelligent Transportation Systems (ITS).
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Sun, Yumeng. "Unsupervised Wireless Network Model-Assisted Abnormal Warning Information in Government Management." Journal of Sensors 2021 (October 26, 2021): 1–12. http://dx.doi.org/10.1155/2021/1614055.
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The data generated through telecommunication networks has grown exponentially in the last few years, and the resulting traffic data is unlikely to be processed and analyzed by manual style, especially detecting unintended traffic consumption from normal patterns remains an important issue. This area is critical because anomalies may lead to a reduction in network efficiency. The origin of these anomalies may be a technical problem in a cell or a fraudulent intrusion in the network. Usually, they need to be identified and fixed as soon as possible. Therefore, in order to identify these anomalies, data-driven systems using machine learning algorithms are developed with the aim from the raw data to identify and alert the occurrence of anomalies. Unsupervised learning methods can spontaneously describe the data structure and derive network patterns, which is effective for identifying unintended anomalous behavior and detecting new types of anomalies in a timely manner. In this paper, we use different unsupervised models to analyze traffic data in wireless networks, focusing on models that analyze traffic data combined with timeline information. The factor analysis method is used to derive the results of factor analysis, obtain the three major public factors and comprehensive factor scores, and combine the results with the BP neural network model to conduct a nonlinear simulation study on local governmental debt risk. A potential semantic analysis model based on Gaussian probability is presented and compared with other methods, and experimental results show that this model can provide a robust, over-the-top anomaly detection in a fully automated, data-driven solution.
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Stepanets, I. V., V. A. Stepanets, E. M. Zaychik, and S. M. Odoevsky. "FEATURES OF THE APPLICATION AND PLANNING OF THE MICROWAVE TRANSMISSION IN THE 5th GENERATION NETWORKS." Informatization and communication, no. 3 (May 24, 2019): 77–83. http://dx.doi.org/10.34219/2078-8320-2019-10-3-77-83.
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Goal. Architecture and radio access technologies of 5G networks set high requirements towards throughput, latency and reliability of the distributive transport networks. Regarding to this, the goal of this paper is to carry out the analysis of actual characteristics of microwave transmission planning and its application, which is essential for the wireless segment of the distributive transport network of 5G. Materials and methods. The requirements for automatization of the planning processes were defined for communication networks in general and for microwave transmission in particular. This requirements definition is based on analysis of 5G network architecture, its characteristics and development tendency. The automatization must embrace all of the planning phases, including the solutions of the calculation and information tasks. Moreover, the automatization must represent an instrument for the decision support in development, modernization and optimization of the telecommunication networks, including microwave transmission. This must be based on the modelling within a specialized software platform, which is able to cooperate with the external databases and management systems. Results. The longstanding research of the authors is embodied in the software complex for planning and optimization of telecommunication networks ONEPLAN, which has a module architecture. This allows to carry out the planning and optimization of microwave transmission, throughput capabilities and data traffic distribution within the transport networks, as well as to make the analysis for data traffic reliability. Conclusion. Planning process automatization by the software platform ONEPLAN maintains efficiently the forehanded, technically and economically reasonable decision making for the development, modernization and optimization of the telecommunication networks including the wireless segment of 5G transport networks based on microwave transmission.
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Павликов, С. Н., Е. Ю. Копаева, Ю. Ю. Колесов, П. Н. Петров, and М. А. Гареева. "Method of mobile radio communication." MORSKIE INTELLEKTUAL`NYE TEHNOLOGII)</msg>, no. 3(57) (August 7, 2022): 282–87. http://dx.doi.org/10.37220/mit.2022.57.3.036.
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Развитие морских интеллектуальных систем и их телекоммуникационного оборудования в ближайшее время будет происходить в условиях обострения проблем, связанных с: ростом уровня помех; повышенных требований к удельной пропускной способности; ограничений на ресурсы связи, сокращение допустимого времени реакции на изменение условий среды связи и взаимодействия носителей телекоммуникационного оборудования в ближней зоне. В работе предлагается новый способ мобильной связи, учитывающий перечисленные факторы. Целью работы является сокращение времени реакции радиосети на изменение условий при выполнении хэндовера и роуминга. Задача предусматривает анализ технологий подвижной радиосвязи. Вопрос развития особенно остро стоит для морского транспорта в условиях интенсивного движения в проливах, когда требуется интеллектуальный помощник в выработке вариантов управленческого решения во взаимодействии по технологии V2X. Статья посвящена поиску направлений по совершенствованию мобильной связи на морском транспорте. Актуальность связана с возрастанием скоростей носителей абонентов, интенсивности движения и отсутствием новых потенциальных возможностей по наращиванию пропускной способности телекоммуникационных систем. Метод решения поставленных задач основан на анализе развития и прогнозировании требований к мобильной радиосвязи. Новизна заключается в построении инициатором виртуальной мобильной сети, собираемой из доступных радиосистем связи на время решаемой задачи. Основные выводы: достигнут новый технический результат - сокращение времени реакции радиосети на изменение условий и ограничений работы мобильной радиосвязи. The development of marine intelligent systems and their telecommunications equipment in the near future will occur in the conditions of aggravation of problems associated with: the growth of the level of interference; increased requirements for specific throughput; restrictions on communication resources, reduction of the permissible reaction time to changes in the conditions of the communication environment and the interaction of telecommunication equipment carriers in the near zone. The paper proposes a new method of mobile communication, taking into account the listed factors. The aim of the work is to reduce the reaction time of the radio network to changes in conditions when performing handling and roaming. The task involves the analysis of known mobile radio communication technologies. The issue of development is especially acute for maritime transport in conditions of heavy traffic in the straits, when an intelligent assistant is required in the development of management solution options in interaction with V2X technology with available facilities and infrastructure. The article is devoted to the search for directions for improving mobile communication in maritime transport. The relevance is associated with an increase in the speed of subscriber carriers, traffic intensity and the lack of new potential opportunities to increase the capacity of telecommunication systems. The aim of the work is to reduce the reaction time of the radio network to changes in conditions when performing handling and roaming. The task involves the analysis of known mobile radio communication technologies. The issue of development is especially acute for maritime transport in conditions of heavy traffic in the straits, when an intelligent assistant is required in the development of management solution options in interaction with V2X technology with available facilities and infrastructure. The article is devoted to the search for directions for improving mobile communication in maritime transport. The relevance is associated with an increase in the speed of subscriber carriers, traffic intensity and the lack of new potential opportunities to increase the capacity of telecommunication systems. The method of solving the tasks is based on the analysis of the development and forecasting of requirements for mobile radio communication. The novelty lies in the construction by the initiator of a virtual mobile network assembled from available radio communication systems at the time of the task being solved. The main conclusions A new technical result has been achieved - reduction of the reaction time of the radio network to changes in the conditions and restrictions of mobile radio communication.
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Mrnjavac, Edna, and Robert Marsanić. "INTELLIGENT TRANSPORTATION SYSTEMS IN IMPROVING TRAFFIC FLOW IN TOURISM DESTINATIONS∗." Tourism and hospitality management 13, no. 3 (2007): 627–36. http://dx.doi.org/10.20867/thm.13.3.9.
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The rapid growth and development of motorisation combined with relatively small investments made to improving transportation infrastructure in cities, as well as in tourism destinations, has led to serious problems in the unobstructed movement of vehicles in public traffic areas. Traffic congestion on roadways, in ferryboat ports and at state borders during the summer months and year-round lines of cars going to or returning from work are a regular presence in traffic in most urban and tourism destinations in Croatia, as well as in the rest of Europe. Intelligent transportation systems (ITS) can be implemented in urban and tourism centres, which, for example, have no opportunity for increasing the capacity of their traffic networks by constructing new, or expanding existing, transportation infrastructure, and no opportunity for increasing parking capacities. The only solution would be to optimise traffic networking by introducing intelligent technologies. Intelligent transportation systems and services represent a coupling of information and telecommunication technologies with transportation means and infrastructure to ensure greater efficiency in the mobility of people and goods. ITS implementation helps to provide better information to motorists and travellers (tourists); improve traffic and tourist flows, cargo transportation, public passenger-transportation; facilitate the work of emergency services; enable electronic traffic-related payments; enhance the security of people in road traffic; and monitor weather conditions and the environment. To motorists the system provides guidance to roads on which traffic is less intense, guidance to available parking spaces, and guidance, for example, to a good restaurant or interesting tourist attraction. his paper focuses, in particular, on ITS application in city and tourism destinations in connection with parking problems. Guiding vehicles to the closest vacant parking space helps to reduce traffic congestion, reduce the amount of time lost in searching and increase the occupancy rate of car-parks
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Devetak, Sasa M., Vladimir B. Susa, Boban Z. Pavlovic, Rade V. Slavkovic, and Samed M. Karovic. "Performance Analysis of One Model of Communication and Information System in Military Operation." Defence Science Journal 69, no. 3 (April 30, 2019): 290–97. http://dx.doi.org/10.14429/dsj.69.12932.
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This paper presents a model of communication and information system in military operations. Here OPNET MODELER simulation package is applied because it is suitable for network modelling, topology and capacity planning. Simulation of different types of IP traffic and monitor their performance to optimise the functionality of network elements, management performance network applications, and as well as in research and development of new network technologies. Application of the method of mass service are determined by the capacity needed for voice transmission on the links in the model and using the OPNET MODELER simulation program are analysed performance modeled communication information system in data transmission. The results of the simulation are presented through target the service settings: workload links communication and information system, e-mail download response time, http page download response time and packet loss in data transfer. The aim of the research has shown that modeled communication information system with defined elements (nodes), the capacity of links (according to the specification of telecommunication devices) and defined traffic can respond to the requirements of command forces in the military operation in terms of telecommunication service. The results of the analysed service target parameters show that modeled communication and information system provides an efficient flow of information and the tra nsfer of voice and IP data for the needs of command and control in military operations.
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Ruiz-Avilés, J. M., S. Luna-Ramírez, M. Toril, F. Ruiz, I. de la Bandera, P. Muñoz, R. Barco, P. Lázaro, and V. Buenestado. "Design of a Computationally Efficient Dynamic System-Level Simulator for Enterprise LTE Femtocell Scenarios." Journal of Electrical and Computer Engineering 2012 (2012): 1–14. http://dx.doi.org/10.1155/2012/802606.
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In the context of Long-Term Evolution (LTE), the next generation mobile telecommunication network, femtocells are low-power base stations that efficiently provide coverage and capacity indoors. This paper presents a computationally efficient dynamic system-level LTE simulator for enterprise femtocell scenarios. The simulator includes specific mobility and traffic and propagation models for indoor environments. A physical layer abstraction is performed to predict link-layer performance with low computational cost. At link layer, two important functions are included to increase network capacity: Link Adaptation and Dynamic Scheduling. At network layer, other Radio Resource Management functionalities, such as Admission Control and Mobility Management, are also included. The resulting tool can be used to test and validate optimization algorithms in the context of Self-Organizing Networks (SON).
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Humbatov, R. T., B. G. Ibrahimov, A. A. Alieva, and R. F. Ibrahimov. "Approaches to the Analysis Performance Indicators Multiservice Telecommunication Networks Based on SDN Technology." INFORMACIONNYE TEHNOLOGII 27, no. 8 (August 11, 2021): 419–24. http://dx.doi.org/10.17587/it.27.419-424.
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The quality of functioning multiservice telecommunication networks based on the architectural concept Next Generation Network (NGN) and Future Networks (FN) using modern innovative technologies has been analyzed. Based on the study, a new approach to the construction model for assessing performance indicators multiservice telecommunication networks based on SDN (Software Defined Networking) technologies, taking into account the property self-similarity traffic is proposed. On the basis of the proposed approach, complex indicators MTS were investigated, taking into account the requirement QoS (Quality of Service) and QoE (Quality of Experience). The mathematical apparatus and the results of the study throughput software and hardware complexes, the probabilistic-time characteristics of the network and the management physical resources in the provision multimedia services are presented. Models have been investigated and analytical expressions have been obtained for the assessment complex indicators of the quality offunctioning MTS in the provision multimedia services with the necessary parameters. А numerical analysis is carried out and a graphical dependence of the maximum network throughput on the total number software and hardware systems for a given system load factor is built.
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Abdellah, Ali R., Abdullah Alshahrani, Ammar Muthanna, and Andrey Koucheryavy. "Performance Estimation in V2X Networks Using Deep Learning-Based M-Estimator Loss Functions in the Presence of Outliers." Symmetry 13, no. 11 (November 19, 2021): 2207. http://dx.doi.org/10.3390/sym13112207.
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Recently, 5G networks have emerged as a new technology that can control the advancement of telecommunication networks and transportation systems. Furthermore, 5G networks provide better network performance while reducing network traffic and complexity compared to current networks. Machine-learning techniques (ML) will help symmetric IoT applications become a significant new data source in the future. Symmetry is a widely studied pattern in various research areas, especially in wireless network traffic. The study of symmetric and asymmetric faults and outliers (anomalies) in network traffic is an important topic. Nowadays, deep learning (DL) is an advanced approach in challenging wireless networks such as network management and optimization, anomaly detection, predictive analysis, lifetime value prediction, etc. However, its performance depends on the efficiency of training samples. DL is designed to work with large datasets and uses complex algorithms to train the model. The occurrence of outliers in the raw data reduces the reliability of the training models. In this paper, the performance of Vehicle-to-Everything (V2X) traffic was estimated using the DL algorithm. A set of robust statistical estimators, called M-estimators, have been proposed as robust loss functions as an alternative to the traditional MSE loss function, to improve the training process and robustize DL in the presence of outliers. We demonstrate their robustness in the presence of outliers on V2X traffic datasets.
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Garcia-Retuerta, David, Pablo Chamoso, Guillermo Hernández, Agustín San Román Guzmán, Tan Yigitcanlar, and Juan M. Corchado. "An Efficient Management Platform for Developing Smart Cities: Solution for Real-Time and Future Crowd Detection." Electronics 10, no. 7 (March 24, 2021): 765. http://dx.doi.org/10.3390/electronics10070765.
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A smart city is an environment that uses innovative technologies to make networks and services more flexible, effective, and sustainable with the use of information, digital, and telecommunication technologies, improving the city’s operations for the benefit of its citizens. Most cities incorporate data acquisition elements from their own systems or those managed by subcontracted companies that can be used to optimise their resources: energy consumption, smart meters, lighting, irrigation water consumption, traffic data, camera images, waste collection, security systems, pollution meters, climate data, etc. The city-as-a-platform concept is becoming popular and it is increasingly evident that cities must have efficient management systems capable of deploying, for instance, IoT platforms, open data, etc., and of using artificial intelligence intensively. For many cities, data collection is not a problem, but managing and analysing data with the aim of optimising resources and improving the lives of citizens is. This article presents deepint.net, a platform for capturing, integrating, analysing, and creating dashboards, alert systems, optimisation models, etc. This article shows how deepint.net has been used to estimate pedestrian traffic on the streets of Melbourne (Australia) using the XGBoost algorithm. Given the current situation, it is advisable not to transit urban roads when overcrowded, thus, the model proposed in this paper (and implemented with deepint.net) facilitates the identification of areas with less pedestrian traffic. This use case is an example of an efficient crowd management system, implemented and operated via a platform that offers many possibilities for the management of the data collected in smart territories and cities.
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Čolić, Petar, Marijan Jakovljević, Krešimir Vidović, and Marko Šoštarić. "Development of Methodology for Defining a Pattern of Drivers Mobile Phone Usage While Driving." Sustainability 14, no. 3 (February 1, 2022): 1681. http://dx.doi.org/10.3390/su14031681.
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Mobile phone usage during driving causes driver distraction, which negatively affects road traffic safety and is becoming an increasingly common cause of traffic accidents. This paper proposes a new methodology, based on anonymized datasets from telecommunication networks and analytical possibilities of data science, which has as its goal to identify a pattern of usage of the mobile phone (in particular voice calls and applications) by drivers while driving. Based on this finding, the methodology is used to identify segments of the road infrastructure on which mobile phone usage is more intense. Applying this methodology enables stakeholders in the road traffic safety system to propose targeted measures (educational, legal, or engineering) precisely on the sections where it is most vital to do so in order to reduce mobile phone usage and enhance road safety. The proposed methodology was implemented and demonstrated on two pilot sections on state roads in the Republic of Croatia. Research results point to the fact that the percentage of drivers who use the mobile phone for voice calls or for app usage is exceptionally high (10.68% to 33.90%) and presents a serious threat to road traffic safety.
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Kravets, Oleg Jakovlevich, Elena Ivanovna Danilina, Iana Ivanovna Malikova, and Dmitry Vladimirovich Gorelov. "Monitoring optimization of telecommunication networks for generation of reserve capacity in system." Nexo Revista Científica 34, no. 02 (June 9, 2021): 993–1007. http://dx.doi.org/10.5377/nexo.v34i02.11625.
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This article discusses an approach to monitoring optimization in telecommunication networks with packet routing. Mathematical model of data networking with accounting for monitoring traffic structure is described, optimization task is determined. Main attention is paid to model development on the basis of queueing theory in order to generation of reserve capacity in system. The main concept is that comparatively simple structure of monitoring network is imposed on physical structure of telecommunication network. The modeling is aimed at selection of optimum parameters of monitoring system, solution techniques for similar task are proposed. The obtained optimization task is sufficiently complicated, subsequent attempts should be aimed at searching for conditions which would enable introduction of some constraints in order to simplify its solution without noticeable loss of the model adequacy. This is especially important for asynchronous task of monitoring, it should be based on selection of the most acceptable type of objective function (linear or quadratic). Management system structure of terminal equipment monitoring has been developed for railway sector on the basis of SNMP V3. The system would permit to improve confidence level of data received from measuring system about electrical parameters of route cables, thus decreasing human errors upon classification of emergency situations occurring in communication networks.
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Zaitseva, Alina, Nikolai Dudayev, Evgeny Zaitsev, and Dmitry Kilmakov. "HIGH-PERFORMANCE COMPUTING COMPLEX FOR INTELLIGENT TRANSPORT SYSTEM." Electrical and data processing facilities and systems 18, no. 2 (2022): 107–20. http://dx.doi.org/10.17122/1999-5458-2022-18-2-107-120.
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Relevance The relevance of this research project lies in the development of algorithmic support for routes in transport systems, which will allow efficient, efficient and rational management of the transport complex. The development of modern motor transport is already unthinkable without the use of intelligent transport systems (ITS). ITS is an intelligent system that uses innovative developments in the modeling of transport systems and regulation of traffic flows, providing end users with greater information content and safety, as well as qualitatively increasing the level of interaction of traffic participants compared to conventional transport systems. ITS, based on the interaction of one vehicle with another and the vehicle with the road infrastructure, should ensure high efficiency and safety of road traffic. ITS really increases the «time horizon», the quality and reliability of information about the immediate situation on the road, the location of other vehicles and road users, to ensure greater safety and mobility. Intelligent systems provide information about cars and their location on the road, information about road conditions, allow you to optimize and secure traffic on the road network, as well as speed up response to traffic incidents and accidents. Aim of research The aim of the study is to analyze and study current trends in the development of intelligent transport systems, as well as to review and study the principles and forms of collecting and transmitting information with its subsequent processing for use by the end user. The objectives of the research project are as follows. 1. Analysis of the basic principles of building high-performance computing systems for an intelligent transport system based on computing and telecommunication components for mass use; 2. Development of the architecture of a high-performance computing complex for ITS; 3. Development of algorithmic support for routes in transport systems. Research methods The research method is to analyze the basic principles of building high-performance computing systems for an intelligent transport system based on computing and telecommunications components for mass use. Results In the course of this research project, a system model of the information and computer complex of intelligent transport systems was developed, which includes functional and information models of the information and computer complex of the intelligent transport system, and algorithmic support for intelligent transport systems was developed, including: routes in transport systems, a routing algorithm based on vector criterion optimization.
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Yeremenko, Oleksandra. "Development of the dynamic tensor model for traffic management in a telecommunication network with the support of different classes of service." Eastern-European Journal of Enterprise Technologies 6, no. 9 (84) (December 26, 2016): 12–19. http://dx.doi.org/10.15587/1729-4061.2016.85602.
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Vinogradov, E. A. "Key wireless communication technologies to support traffic management systems of unmanned aerial vehicles for civil application (review of foreign literature)." Civil Aviation High Technologies 24, no. 2 (April 25, 2021): 70–92. http://dx.doi.org/10.26467/2079-0619-2021-24-2-70-92.
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Not less than one hundred thousand Unmanned Aerial Vehicles (UAVs) are expected to perform flights simultaneously in Russia by 2035. The UAV fleet capacity triggers the development of the systems for informational support, operating control and management of UAV flights (Unmanned Aircraft System Traffic Management (UTM) systems) similar to that one already operating in manned aviation. The challenges arising in the sphere of civil aviation cannot be solved without wireless communication. The goals of this article are as follows: 1) familiarization of communication experts with the latest scientific developments of unmanned aerial technologies 2) description of the telecommunication-related problems of extensive systems of UAV control encountered by development engineers. In this article a schematic architecture and main functions of UTM systems are described as well as the examples of their implementation. Special emphasis is put on enhancing flight safety by means of a rational choice of communication technologies to manage conflicts (Conflict Management) known as "collision avoidance". The article analyzes the application of a wide range of wireless technologies ranging from Wi-Fi and Automatic Dependent Surveillance Broadcast (ADS-B) to 5G cellular networks as well as cell-free networks contributing to the development of 6G communication networks. As a result of the analysis, a list of promising research trends at the intersection of the fields of wireless communication and UAVs for civil application is made.
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Goyal, Tanu, and Sakshi Kaushal. "An intelligent scheduling scheme for real-time traffic management using Cooperative Game Theory and AHP-TOPSIS methods for next generation telecommunication networks." Expert Systems with Applications 86 (November 2017): 125–34. http://dx.doi.org/10.1016/j.eswa.2017.05.071.
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Arifin, R. Muhammad. "Method And Implementation of MPLS Tunnel Selection On Nokia Metro-E Devices." JAICT 6, no. 1 (September 16, 2021): 50. http://dx.doi.org/10.32497/jaict.v6i1.2632.
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<p class="AbstractL-MAG">Tunneling is an interconnection solution between local networks separated by remote over a public IP. The current issue does not have proper guidelines for using tunneling techniques. Tunneling selection is generally only based on the beliefs and experience of network management operators or following SOP. The brand of tunneling device is widely used by telecommunication operators in Indonesia (especially P. Java) is Nokia. In this study, implementation, testing and analysis of MPLS techniques on Nokia devices to produce recommendations when to use MPLS tunnels according to network topology appropriately. The software used in this study was FTP, Tfgen and Wireshark. FTP and Tfgen as network traffic generators and Wireshark to record throughput, delay and downtime. Analysis of MPLS on Nokia devices is conducted based on recording results for various traffic engineering scenarios including loadless conditions, and various other conditions in case of network disruption. Mpls research results when without load all went well with an average throughput of 1.08 Mbps and delay of 10 ms. When with load has a stability delay of 10 ms, when when network disruption using ICMP get 1 Request Time Out or 4s. MPLS techniques are used on established networks because it can provide alternative density lines.</p>
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Lundén, Dag, Jens Malmodin, Pernilla Bergmark, and Nina Lövehagen. "Electricity Consumption and Operational Carbon Emissions of European Telecom Network Operators." Sustainability 14, no. 5 (February 24, 2022): 2637. http://dx.doi.org/10.3390/su14052637.
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This study presents operational electricity consumption and greenhouse gas emissions for named European telecom network operators during 2015–2018. These results are also compared to data for 2010–2015. The study provides an extensive primary data set, collected from European Telecommunication Network Operators (ETNO) members, covering operations in Europe and beyond, providing data with higher granularity than publicly available sources. The collected data set corresponds to roughly 36 percent of European subscriptions and 8 percent of global subscriptions. This data set was used to calculate the aggregated annual electricity consumption for the assessed operators, as well as associated subscription intensities, in total, for Europe and per network type. Moreover, aggregated electricity-related carbon emissions and emissions from other sources were calculated. Finally, estimates were made for the overall network operation in Europe for 2018 and 2020. The study concludes that the electricity consumption and number of subscriptions for the reporting telecom network operators remained nearly constant (+1 percent and −3 percent, respectively) between 2015 and 2018, while data traffic increased by a factor of three. For the extended period of 2010–2018, the electricity consumption per subscription remained quite stable, slightly below 30 kWh/subscription despite substantial data traffic growth (by a factor of 12).
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Wróbel, Zofia, and Adam St Jagiełło. "The Risk of Lightning Losses in a Structure Equipped with RTC Devices According to the Standard EN 62305-2.2008." Energies 14, no. 6 (March 18, 2021): 1704. http://dx.doi.org/10.3390/en14061704.
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Incorrect adjustment of railway traffic control devices (rtc) to the specificity of the area in terms of lightning density may result in their damage by lightning-caused electromagnetic pulses. An associated risk assessment, as the standard in the analyses of the strength of rtc devices, should be made. However, manufacturers of rtc devices typically do not perform tests with respect to such high overvoltage conditions. Particularly in the case of the EN 62305-2 standard, the manufacturers of new rail traffic control devices usually do not carry out such analyses. In this paper, an analysis of the damage vulnerability of rtc devices caused by lightning discharges for a selected structure, including a signal box equipped with digital rtc devices is presented. The necessity of conducting a lightning damage vulnerability analysis for rtc devices is demonstrated. A part of the railway track where lightning discharges occur was analyzed. The results of the risk analysis obtained with the use of the DEHN Risk Tool software and based on the standard EN 62305-2 (2008, Lightning protection. Part 2. Risk management) are presented. Due to the fact that railway devices are not included in the current standard, three documents were adopted for the analysis: two editions of EN/IEC 62305-2 (from 2008 and 2012) and the recommendations of the ITU-International Telecommunication Union ITU-T K.39 (10/1996). The presented analysis is performed according to the 2008 standard version and to the chosen device.
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Li, Qiang, Qing Liu, Xiaona Guo, Shuo Xu, Jingyu Liu, and Heli Lu. "Evolution and Transformation of the Central Place Theory in E-Business: China’s C2C Online Game Marketing." Sustainability 11, no. 8 (April 16, 2019): 2274. http://dx.doi.org/10.3390/su11082274.
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In contemporary studies in areas such as the field of classical theory, there has been an increasing emphasis on E-Business. In this study, we examine central place theory principles using China’s consumer-to-consumer online game marketing as a case of E-business. The results indicate that virtual goods in China’s C2C online game marketing are distributed in areas with high economic development and where residents have high purchasing power. Further, we found that the transmission capacity of virtual goods is affected by the level of telecommunication services because they are transmitted through information flow. Such effects illustrate that virtual goods are no longer affected by spatial distance and traffic conditions because virtual goods do not need to be touched; however, they are still affected by market forces. We conclude that there are key differences between the marketing and transport principles of CPT based on the hierarchical model describing new internal and external relations and the level of complexity in E-Business processes.
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Karetnikov, Vladimir Vladimirovich, Nikita Pavlovich Bydko, and Vladimir Vasilevich Allakin. "SYNTHESIS OF SUBSYSTEM OF INTELLIGENT MONITORING OF INFORMATION AND TELECOMMUNICATION NETWORK OF DEPARTMENTAL SITUATIONAL CENTER." Vestnik of Astrakhan State Technical University. Series: Management, computer science and informatics 2021, no. 3 (July 30, 2021): 64–81. http://dx.doi.org/10.24143/2072-9502-2021-3-64-81.
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The problem statement: based on the analysis of the features of the development of modern public information and telecommunications networks (ITN), which consist in the geographical dispersion of network resources, sources and recipients of information; the pulsating nature of network traffic; heterogeneity of elements and applied network technologies; randomness of functioning; “intolerance” to management; the essential inconsistency of the main char-acteristics and the impossibility of a complete mathematical description, make it impossible to use the existing methods of control of the information and telecommunications system and the need to synthesize its subsystem of intellectual monitoring, as well as to develop new methods based on intelligent approaches. The purpose of the work is to provide synthesis of the subsystem of intelligent monitoring of the information and telecommunications network of the Ministry of Transport of the Russian Federation, as one of the key segments of the situation center of the department being created at the present time. Structuring of the controlled space by the terms “monitoring zone”, “critical element” and “technical condition classes” form the basis of a new approach to intelligent monitoring, regardless of the constant improvement (evolution) and heterogeneity of heterogeneous network infrastructures. The values obtained in the course of parametric synthesis of acceptable optimal values of the degree of loading of channels with measuring information make it possible to calculate the throughput of technological channels of tele-measurement-tele-signaling and the necessary amount of buffer memory with a known network topology and a given gravity matrix, providing the average minimum delivery time of intelligent agents (packets of measuring information) and the value of the maximum probability of failure
in their service within acceptable limits. Based on the proposed hypergraph of the topological relationship of the monitoring zones of ITN of a household, the structure of its monitoring subsystem is constructed at the levels of fragmentation during the aggregation of controlled processes. The obtained results of the structural and parametric synthesis form the basis of the conceptual model of intelligent monitoring of ITN of the department
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Okoro, R., O. C. Ubadike, A. J. Onumanyi, and A. M. Aibinu. "Routing optimization in a wireless network using genetic algorithm and ILA routing metric." Nigerian Journal of Technology 40, no. 5 (May 13, 2022): 938–46. http://dx.doi.org/10.4314/njt.v40i5.19.
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Wireless access technology is a popular means of delivering various telecommunication services to users in Nigeria. Wireless Mesh Networking and Wireless Sensor Networking have found useful applications in wireless access systems, surveillance and infrastructure Management. A key problem associated with this technology is performance degradation in terms of Quality of Service (QoS). Achieving good QoS in Wireless Networks design involves implementing a robust routing optimization technique. Genetic Algorithm (GA) technique in NS2 network simulator was used to implement routing optimization in order to solve the performance issues experienced in a campus-based Voice over Internet Protocol (VoIP) communication system. The Interference and Load Aware (ILA) routing metric was chosen as the fitness function which helps to select the best route from a set of identified traffic paths that best guarantees low delay, high throughput and low packet losses suitable for real time communication. Results show that the GA based route optimization produced a 23% improvement in Throughput, 11% less Delay and 16% less Packet loss in comparison to the non-GA route. This work shows that route optimization in wireless multi-hop networks based on GA and ILA improves its QoS.
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Privalov, Andrey, Igor Kotenko, Igor Saenko, Natalya Evglevskaya, and Daniil Titov. "Evaluating the Functioning Quality of Data Transmission Networks in the Context of Cyberattacks." Energies 14, no. 16 (August 5, 2021): 4755. http://dx.doi.org/10.3390/en14164755.
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Cyberattacks against the elements of technological data transmission networks represent a rather significant threat of disrupting the management of regional electric power complexes. Therefore, evaluating the functioning quality of data transmission networks in the context of cyberattacks is an important task that helps to make the right decisions on the telecommunication support of electric power systems. The known models and methods for solving this problem have limited application areas determined by the admissible packet distribution laws. The paper proposes a new method for evaluating the quality of the functioning of data transmission networks, based on modeling the process of functioning of data transmission networks in the form of a stochastic network. The proposed method removes restrictions on the form of the initial distributions and makes the assumptions about the exponential distribution of the expected time and packet servicing in modern technological data transmission networks unnecessary. The method gives the possibility to evaluate the quality of the network functioning in the context of cyberattacks for stationary Poisson transmission and self-similar traffic, represented by Pareto and Weibul flows models. The obtained evaluation results are in good agreement with the data represented in previously published papers.
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Sousa, Pedro, Vitor Pereira, Paulo Cortez, Miguel Rio, and Miguel Rocha. "A Framework for Improving Routing Configurations using Multi-Objective Optimization Mechanisms." Journal of Communications Software and Systems 12, no. 3 (March 13, 2017): 145. http://dx.doi.org/10.24138/jcomss.v12i3.79.
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IP networks are nowadays well established technologiesbeing used to support a myriad of applications and services,thus assuming a crucial role in todays telecommunication systems. Nevertheless, such infrastructures usually require network administrators to perform a wide set of complex planning and management tasks trying to attain adequate network configurations. Many of such management tasks can be mathematically formulated as NP-hard optimization problems, sometimes involving several objective functions. In this context, this work explores and demonstrates the potential of using computational intelligence methods as optimization engines to tackle complex network optimization problems. In particular, Multi-objective Evolutionary Algorithms (MOEAs) are used to attain near-optimal link state routing configurations robust to distinct operational conditions. As result, network administrators will be provided with a set of alternative routing configurations representing distinct tradeoffs between the considered optimization goals. The robustness of the proposed methods is illustrated by presenting several multiobjective optimization examples able to improve the performance and resilience levels of a network infrastructure. In this perspective, this work presents a contribution for this research area by proposing specific MOEAs based optimization methods able to improve network routing configurations. Furthermore, the devised methods are also integrated in a freely available Traffic Engineering optimization framework able to be used by network administrators interested in improving the routing configurations of their network infrastructures.
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JAIN, AABHA, and SANJIV TOKEKAR. "Application Specific Performance Evaluation of Vertical Handoff in UMTS-WLAN Network." Journal of Interconnection Networks 18, no. 04 (December 2018): 1850013. http://dx.doi.org/10.1142/s0219265918500135.
Full textAbstract:
The next generation of wireless system is expected to provide multimedia, multi class services any time anywhere with seamless mobility and Quality of Service (QoS). In such environment, vertical handoff management plays an important and challenging role. Some of the main functions of vertical handoff management are: to implement appropriate vertical handoff decision to minimize number of unnecessary handoff, to maintain minimum vertical handoff latency for seamless mobility and to provide guaranteed acceptable QoS required for user satisfaction. Thus, in this paper to avoid unnecessary handoff in integrated heterogeneous network we have proposed that the vertical handoff decision depends on coverage area of the network and the speed of the Mobile Node. Application specific cut-off speed for particular coverage range of network during which handoff is beneficial has been determined. Real time applications like HDTV, MPEG-4, and H.261 are considered in integrated heterogeneous network of UMTS (Universal Mobile Telecommunication System) and WLAN. Vertical handoff latency is analyzed for varied network traffic load, types of application and varied speed of Mobile Node. Effect of Mobile Node speed on packet loss is also analyzed. Finally, to satisfy user with acceptable end to end QoS, especially in the presence of heterogeneous integrated networks where every network has individual QoS, an end to end QoS mapping scheme between UMTS and WLAN integrated network has been proposed. The simulation is performed using Network Simulator NS-2 with NIST (National Institute of Standards and Technology) add on module.
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Banjanin, Milorad K., Mirko Stojčić, Dejan Danilović, Zoran Ćurguz, Milan Vasiljević, and Goran Puzić. "Classification and Prediction of Sustainable Quality of Experience of Telecommunication Service Users Using Machine Learning Models." Sustainability 14, no. 24 (December 19, 2022): 17053. http://dx.doi.org/10.3390/su142417053.
Full textAbstract:
The quality of experience (QoE) of the individual user of telecommunication services is one of the most important criteria for choosing the service package of mobile providers. To evaluate the sustainability of QoE, this paper uses indicators of user satisfaction or dissatisfaction with the quality of network services (QoS), especially with conversational, streaming, interactive and background classes of traffic in networks. The importance of knowing the impact of selected combinations of paired legal–regulatory, technological–process, content-formatted and performative, contextual–relational and subjective user-influencing factors on QoE sustainability is investigated using a multiple linear regression model created in Minitab statistical software, machine learning model based on boosted decision trees created in the MATLAB software package and predictive models created by using an automatic modeling method. The classification of influence factors and their matching for the analysis of interaction fields of users and services aim to mark QoE as sustainable by determining the accuracy of the weight of subjective ratings of user satisfaction indicators as transitional variables in the predictive model of QoE. The hypothetical setting is that the individual user’s curiosity, creativity, communication, personality, courage, confidence, charisma, competence, common sense and memory are adequate transition variables in a sustainable QoE model. Using the applied methodology with an original research approach, data were collected on the evaluations of research variables from anonymous users of mobile operators in the geo-space of Republika Srpska and B&H. By treating the data with mathematical and machine learning models, the QoE assessment was performed at the level of an individual user, and after that, several models were created for the prediction and classification of QoEi. The results show that the relative error (RE) of the predictive models, created over the collected dataset, is insufficiently low, so the improvement of the prediction performance was achieved via data augmentation (DA). In this way, the relative prediction error is reduced to a value of RE = 0.247. The DA method was also applied for the creating a classification model, which at best demonstrated an accuracy of 94.048%.
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Lorincz, Josip, Antonio Capone, and Jinsong Wu. "Greener, Energy-Efficient and Sustainable Networks: State-Of-The-Art and New Trends." Sensors 19, no. 22 (November 8, 2019): 4864. http://dx.doi.org/10.3390/s19224864.
Full textAbstract:
Although information and communications technologies (ICTs) have the potential of enabling powerful social, economic and environmental benefits, ICT systems give a non-negligible contribution to world electricity consumption and carbon dioxide (CO2) footprint. This contribution will sustain since the increased demand for user′s connectivity and an explosion of traffic volumes necessitate continuous expansion of current ICTs services and deployment of new infrastructures and technologies which must ensure the expected user experiences and performance. In this paper, analyses of costs for the global annual energy consumption of telecommunication networks, estimation of ICT sector CO2 footprint contribution and predictions of energy consumption of all connected user-related devices and equipment in the period 2011–2030 are presented. Since presented estimations of network energy consumption trends for main communication sectors by 2030 shows that highest contribution to global energy consumption will come from wireless access networks and data centres (DCs), the rest of the paper analyses technologies and concepts which can contribute to the energy-efficiency improvements of these two sectors. More specifically, different paradigms for wireless access networks such as millimetre-wave communications, Long-Term Evolution in unlicensed spectrum, ultra-dense heterogeneous networks, device-to-device communications and massive multiple-input multiple-output communications have been analysed as possible technologies for improvement of wireless networks energy efficiency. Additionally, approaches related to the DC resource management, DCs power management, green DC monitoring and thermal management in DCs have been discussed as promising approaches to improvement of DC power usage efficiency. For each of analysed technologies, future research challenges and open issues have been summarised and discussed. Lastly, an overview of the accepted papers in the Special Issue dedicated to the green, energy-efficient and sustainable networks is presented.