Network Management System Research Articles

Data-Driven Multiobjective Optimization for Massive MIMO and Hyperdensification Empowered 5G Planning under Realistic Network Environment

To accommodate the increasing data rate demand, the fifth-generation (5G) cellular network came up with new technological advancements including massive multiple-input multiple-output (massive MIMO) and hyperdensification which can significantly boost network capacity. On the other hand, the introduction of these technologies along with their heterogeneity brings a challenge in terms of network operators’ need to identify a cost-effective optimal deployment approach which is hardly entertained by the legacy planning and optimization method. Hence, to leverage the core benefits of those technologies in a cost-effective manner, we need a holistic planning framework that takes into account their coverage, capacity and cost impact, and realistic spatiotemporal distribution of users. In this work, we present a data-driven multiobjective optimization planning framework that can be used not only for small cells but also for massive MIMO. The planning framework is illustrated using a 5G planning case study for a service area in Addis Ababa, Ethiopia, considering its realistic network data that is collected from the network management system and different potential identified deployment options. Ray tracing is employed to compute propagation, and users and demands are distributed based on the realistic network data. A two-stage optimization and a joint optimization are applied to identify points that provide optimal network performance. Simulation results reveal that the planning method provides Pareto points for different deployment options that can significantly improve the performance of the existing network while reducing the total network cost.

Multi-Objective Dispatch of PV Plants in Monopolar DC Grids Using a Weighted-Based Iterative Convex Solution Methodology

The design of an efficient energy management system (EMS) for monopolar DC networks with high penetration of photovoltaic generation plants is addressed in this research through a convex optimization point of view. The EMS is formulated as a multi-objective optimization problem that involves economic, technical, and environmental objective functions subject to typical constraints regarding power balance equilibrium, thermal conductor capabilities, generation source capacities, and voltage regulation constraints, among others, using a nonlinear programming (NLP) model. The main characteristic of this NLP formulation of the EMS for PV plants is that it is a nonconvex optimization problem owing to the product of variables in the power balance constraint. To ensure an effective solution to this NLP problem, a linear approximation of the power balance constraints using the McCormick equivalent for the product of two variables is proposed. In addition, to eliminate the error introduced by the linearization method, an iterative solution methodology (ISM) is proposed. To solve the multi-objective optimization problem, the weighted optimization method is implemented for each pair of objective functions in conflict, with the main advantage that in this extreme the Pareto front has the optimal global solution for the single-objective function optimization approach. Numerical results in the monopolar version of the IEEE 33-bus grid demonstrated that the proposed ISM reaches the optimal global solution for each one of the objective functions under analysis. It demonstrated that the convex optimization theory is more effective in the EMS design when compared with multiple combinatorial optimization methods.

Design And Implementation Of Network Security System Using Network Management System (NMS) And Firewall On SMA N 1 Bengkulu City

This research is entitled Design and Implementation of Network Security System Using Network Management System (NMS) and Firewall at SMA N 1 Bengkulu City. Aims to build a computer network system using linux ubuntu server by setting squid and webmin as a graphical user interface (GUI). Where in doing network management Squid works well including being able to limit accessible website addresses, IP Address management of network users and ports that can or cannot be accessed. The GUI is being used by webmin, because the webmin interface is easy to use. In limiting website addresses, network users' IP addresses and ports that cannot be accessed are done manually via Squid. Linux operating system ubuntu server 20.04 is very good in running Network Management System (NMS) and Firewall because it can be installed or added other tools such as squid and webmin, linux ubuntu server 20.04 in running Network Management System (NMS) and Firewall does not require resources great hardware.

Designing and Building an Intelligent Pavement Management System for Urban Road Networks

Pavement maintenance plays a significant role in megacities. Managing complaints and scheduling road reviews are the two maintenance concerns under the intelligent pavement management system (PMS) plan. In contrast, if the damages are not treated immediately, they will increase over time. By leveraging accurate data from sensors, smart PMS will improve management capability, support sustainability, and drive economic growth in the road network. This research aimed to elaborate on the different modules of an intelligent city pavement network to advance to a sustainable city. First, a 3D mobile light detection and ranging (LiDAR) sensor, accompanied by a camera, was applied as the data collection tool. Although 3D mobile LiDAR data have gained popularity, they lack precise detection of pavement distresses, including cracks. As a result, utilizing RGB imaging may help to detect distresses properly. Two approaches were integrated alongside conducting the data analysis in this paper: (1) ArcGIS pro, developed by Esri Inc., which includes noise removal, digital elevation model (DEM) generation, and pavement and building footprint extraction; (2) the Mechanistic-Empirical Pavement Design Guide (AASHTOWare PMED), which was used to assess site specifications such as traffic, weather, subbase, and current pavement conditions in an effort to design the most appropriate pavement for each road section. For the 3D visualization module, CityEngine (a software from Esri) was used to provide the 3D city model. After implementing the research methodology, we drew the following conclusions: (1) using the AASHTOWare PMED method to make decisions about road maintenance and rehabilitation(M&R) actions can significantly speed up the decision-making process, essentially saving time and money and shortening the project’s duration; and (2) if the road conditions are similar, the smart geographical information system (GIS)-based PMS can make consistent decisions about road M&R strategies, i.e., the interference from human factors is less significant.

Functioning quality assessment model special purpose information communication network management systems

The paper deals with the assessment of the quality of the functioning of the special purpose information communication network management system. It was determined that the evaluation of the quality of the functioning of the management system requires the determination of its properties, which arise from the purpose of operation and management tasks, and the structuring of the evaluation parameters corresponding to the properties. The distribution of properties of the management system of a special purpose information communication network is proposed and the corresponding evaluation parameters are structured. Structural properties of the construction scheme, functional properties of the control process and functional properties of the control system are defined as properties of the control system. The quality of the functioning of the management system of the special purpose information communication network is proposed to be evaluated by the management efficiency indicator. Which is defined as the ability of the special purpose information communication network management system to perform processes of control and management of network states within the established time limits. In order to evaluate the quality of the functioning of the management system of the special purpose information communication network, the appropriate evaluation model is proposed in the work. The specified model allows to evaluate the quality of the functioning of the control system according to the efficiency indicator, taking into account the components of the control process and mathematical expectations of the corresponding random values of the time parameters of the control process.

Forecasting the trafic of telecommunication networks and their optimization

The article is devoted to methods for generating predictive estimates of the traffic of new segments of telecommunication systems before they are put into operation in order to optimize the structure of networks and improve their performance. Three types of traffic sources are distinguished — network management system, information protection and line integrity system, and users. Each source has its own approach to assessing the contribution to the total traffic. The resulting numerical estimates were used to find an array of optimal routes in terms of minimum load between a given initial communication node and a set of given end nodes. An original method for solving this problem is proposed.

Determination of optimization criteria for a special­purpose infocommunication network management system

As of today, taking into account the realities of the war in the country and the prospects for the development of the special-purpose information communication network management system, it is possible to assert the presence of a stable trend of growth in the volume and improvement of the quality of telecommunication services provided. This leads to an increase in the quantity and quality of control information, which, in turn, leads to a disproportionate growth of the special purpose information communication network management system itself. The described trend determines the need to optimize the management system as part of a special purpose information and communication system. To solve this problem, it is necessary to define the optimization criteria for the management system of a special purpose information communication network. The characteristic features of the special purpose information communication network management system given in the article allow it to be considered a "big system". For such a "big system" the question of its optimization becomes urgent. Optimization can be considered both the optimization of the control system design process itself and the optimization of the operation of the control system. The determined directions of optimization are dependent on each other. The designed special purpose information communication network management system will have quality indicators that depend on the quality of development, resources and time spent, that is, on the optimality of the design process. On the other hand, the resources and time spent on the design of the control system will significantly depend on the expected quality parameters of the system. There are several ways to combine the partial criteria of the control system to obtain an integral generalized criterion, which will make it possible to implement a global synthesis of the control system taking into account all the selected partial criteria of the system. Thus, the paper presents a method of multi-criteria optimization of the management system of a special purpose information communication network. The external parameters of the special purpose information communication network management system, which are critical in modern conditions, are described: the amount of information, delay, survivability, functional flexibility, reliability and cost. The need to combine conflicting criteria such as the amount of control information, reliability, survivability, functional flexibility, latency, and cost is emphasized. The advantage of using multi-criteria optimization of the special-purpose information communication network management system compared to single-criteria optimization is shown.

Security Impact of Federated and Transfer Learning on Network Management Systems with Fuzzy DEMATEL Approach

Security Impact of Federated and Transfer Learning on Network Management Systems with Fuzzy DEMATEL Approach

Time series modeling for risk management of the implementation of scientific policy goals in conditions of uncertainty in the creation of new network management systems

The use of mechanisms of development institutions to support small innovative enterprises involved in the creation of new management systems is necessary to accelerate the transformation of the economy. The activities of small innovative enterprises are associated with certain risks. The mathematical formalization of risks was carried out on the basis of criteria such as the variance of the utility function values under uncertainty. A systematic analysis of the attribute space for the evaluation of small innovative enterprises and the identification of abnormal levels of temporary data sets was carried out. Models are proposed to describe the trend and oscillatory components of risk analysis and short-term forecasting. The cyclical nature of the performance indicators of small innovative enterprises and the dysfunction of the national innovation system are revealed.

A Dynamic Blockchain-Based Mutual Authenticating Identity Management System for Next-Generation Network

In the blockchain-based identity management system (B-IMS) of the next-generation network, mutual authentication is encouraged to be performed between service providers (SP) and user equipment (UE), because SP tend to provide services directly to UE independently from network operator (NO), comparing with traditional B-IMS. As static asymmetric cryptographic keys and append-only ledger data are adopted by most of the B-IMS, the reliability of the system cannot meet the requirements of the next-generation network as static data are less difficult to crack and obtain. Moreover, the storage pressure on blockchain nodes might be stressful due to the exponential increase in the ledger data. Motivated by the circumstances presented above, we propose a dynamic B-IMS which features mutual authentication between SP and UE, where dynamic cryptographic key generation and dynamic chameleon hash key are introduced to strengthen the reliability of the system. We designed a rigorous simulation model and simulated the risk scores of the system and the size of the ledger over runtime respectively. The simulation results confirm the achievability and feasibility of the proposed system.

Management system for innovations created in the open model (with managerial tools)

Purpose: The main objective of the article was to defined an innovation management system, which consist of: 1. Subsystem for managing their own innovative maturity. 2. Subsystem for managing the processes of obtaining product innovations from suppliers. 3. Subsystem for innovative maturity management of suppliers from the supply chain and networks of cooperating companies. 4. Subsystem for innovation performance management. The results of the literature and empirical research formed the basis for the development and test of two subsystems:  Subsystem for managing their own innovative maturity.  Subsystem for innovative maturity management of suppliers from the supply chain and networks of cooperating companies. Design/methodology/approach: The main objective of the literature study was to prepare tools to review the elements, with consist of the innovation management subsystems. The main objective of the own research was to compare the elements of innovation management used by the three automotive concerns that produce propulsion systems in Poland. Comparing the elements used allowed the defined a complex model of a network and supply chain innovation management system (especially the two subsystems and propose to retrofit them). The proposed research tools can too be used to assess the maturity for managing innovations arising in collaboration. The tools will also serve as an inspiration (for manager R&D) for supplementing a functioning system with missing elements. Findings: The first chapter presents the importance of developing a system from a theoretical, methodological and empirical point of view. The second chapter presents reserch methodology. The appendices 1 and 2 present the author's managerial tools for evaluative assessment of the two subsystems belong to innovation management system. The third chapter presents the results of surveys conducted using the developed managerial tools. Research limitations/implications: Research limitations/implications: The main purpose of the work was to develop a systemic innovation management model for the supply chain in the automotive industry and to assess the possibility of its implementation in business practice. This goal was partially achieved. The possibility of implementing a systemic model only at car manufacturers was examined. The enterprises cooperating in the supply chain (suppliers, customers) were not examined. In connection with the above, it can be stated that two subsystems have been verified (subsystem for managing their own innovative maturity; subsystem for innovative maturity management of suppliers from the supply chain). The others will be the subject of further research. Keywords: Innovation management, OI Open innovation model.

Debt crisis in the electricity market: causes and threats to the economic security of electricity companies

The article states that one of the main sector conditions for Ukraine's accession to the European Union is the launch of a full-fledged energy market, for which purpose a number of institutional, economic and regulatory reforms have been implemented since 2015. It is proved that despite the government’s conscientious efforts to make a transition to the European model of energy markets, Ukraine has failed to do so due to a large number of regulatory restrictions on wholesale prices (price caps), an unbalanced policy of supporting renewable energy industry, the absence of market prices for households and the existing mechanisms for imposing special obligations, which together have led to the formation of a chain of debts “all to all” in the electricity market. It is substantiated that the debt crisis currently observed in the energy sector of Ukraine requires urgent measures. Further ignoring it is unacceptable, as it poses significant threats to both the country’s energy security and the financial viability of electricity companies. The article considers the chain of debts of electric power enterprises formed through the Public Service Obligations (PSO) model. The causes of the debt crisis in the Ukrainian electricity market are identified, including: incorrect operation of the PSO mechanism; significant underfunding of tariffs for households, as well as tariffs for electricity transmission services via the high-voltage trunk network and power system management (dispatching); granting debtors a preference - depriving them of "punishment" for late payment of the cost of consumed services. The author analyses the proposed measures to mitigate the crisis by: compensation of debts at the expense of the State budget; attraction of loans from State and international banks; cancellation of price restrictions established by the National Commission for State Regulation of Energy and Public Utilities (NCSREPU), the so-called price caps; allocation of part of the excise tax revenues to repay the debts incurred in the electricity market; increasing the volume of clean electricity exports to the EU; introduction of a market for guarantees of origin, under which each renewable energy producer will receive guarantees, i.e. an asset that can be sold. The advantages and disadvantages of each of the proposed measures are indicated.

Information communication networks as an object of intentional destructive electromagnetic influences

Deliberate destructive electromagnetic influences formed on the basis of existing technical means are an effective type of modern radio-electronic information and technical influences on information and communication networks. The radio-electronic material basis of information communication networks is potentially vulnerable to the influence of means of radio-electronic suppression. The need to ensure the high-quality functioning of modern information and communication networks under the conditions of intentional electromagnetic destructive effects requires correct and timely management decisions from the network management system to prevent undesirable consequences, which necessitates the creation of more advanced management methods. The purpose of the publication is to consider the vulnerabilities of modern information and communication networks from intentional destructive electromagnetic influences, which is understood as the deliberate creation of a powerful electromagnetic influence on electronic and electrical systems for criminal or terrorist purposes in order to disrupt their functioning. The effects manifested at different levels of information communication network functioning as a result of intentional destructive electromagnetic influences are considered. Based on the results of the research, the following conclusions can be drawn: intentional destructive electromagnetic influences are aimed at destroying information flows circulating between network elements; decrease in the speed of information exchange between elements of the control system, which significantly increases the duration of the control cycle and, as a result, reduces the efficiency of network management; ensuring sufficiently massive and long-term failure of network technical means; existing systems and methods of radio electronic suppression are focused on suppressing only individual channels of the network by disrupting the functioning of communication protocols at the physical and channel levels of the OSI model; in the future, there is a threat of transition to the use of individual elements of the radio segment of the information communication network as a kind of «entry points» for radio-electronic information and technical influences, which will disrupt the network processes of information transmission and spread their destabilizing influence on the entire network, including its wire segment. In the article presented to the readers, only some aspects of the researched topic are highlighted. Currently, the authors continue active research work in this subject area.

A Multi-Level Approach to the Target Development of the Electric Vehicle Charging Stations Network

The paper proposes an approach to managing a charging stations network for electric vehicles based on a combination of their properties as car service systems and infrastructure objects of the transport network. Within the framework of the study, a functional model of the charging stations network management system was built according to the IDEF0 structural modeling standard. The developed model made it possible to determine the main parameters and indicators of the specified management system. The current state of the system determines its configuration within morphological constraints. The optimal configuration is the basis for determining the rational structure of the charging stations network at a given level of detail. The mathematical formulation of the problem of multi-criteria optimization of the network structure was performed. The specified mathematical model represents the charging stations network as a mass service system and takes into account the requirements for its functioning at three target levels: client, business, society. The structure of the demand for charging station services and the client radius are strong arguments for the appropriate objective functions. Other arguments of the objective functions are presented through the configuration of the management system. An algorithm for optimizing the structure of the charging stations network has been developed based on the proposed social efficiency indicator. The considered approach is recommended for use in the process of designing and developing charging station systems, as well as forecasting their performance.

Retracted: Network Management System for IoT Based on Dynamic Systems.

[This retracts the article DOI: 10.1155/2021/9102095.].

About the technology of computer-aided design and development of special software for large-scale telecommunication network management systems

A design technology is proposed based on the methodology for estimating labor costs and timing of software development. The instrumental basis of the technology is interconnected accounts. The technology can be used in practical activities for creating software, analyzing the current state of the project, forecasting its completion dates and cost. Unlike the well-known methods, it has the property of self-learning.

Adaptive method and algorithm for the operational estimation of traffic parameters in high-speed corporate multiservice communication networks

The article develops an adaptive method and an algorithm for operational evaluation of traffic characteristics and parameters in high-speed corporate multi-service communication networks, which implements it. This algorithm works in real time. High-speed corporate multi-service networks are characterized by high dynamics of changes in their state, including changes in the characteristics of transmitted traffic. Under these conditions, the automated network management system must ensure the required quality of services and communication services provided to users. The relevance of this study is determined by the need to implement network management processes in a mode close to real time, with a given quality in conditions of dynamic, unknown changes in network characteristics. The basis of the proposed method is the concept of conditional nonlinear Pareto-optimal filtering, which consists in the fact that the estimation of traffic parameters takes place in two stages: at the beginning, the forecast of parameter values is estimated, and then, with the receipt of subsequent parameter observations, their adjustment takes place. The proposed method and algorithm belong to the class of methods and algorithms with prior training. The average relative error of the estimation of traffic parameters does not exceed 7%, which is a sufficient value for the implementation of operational network management tasks.

Multi­agent models of management and self­organization in fifth generation networks

The article extensively delves into the crucial challenge of effectively managing 5G telecommunication networks. In this landscape, the authors fervently champion the adoption of a multi-agent approach, which promises a remarkable increase in adaptability and flexibility in the realm of network management. This approach is vital for accommodating the inherently dynamic and diverse nature of 5G networks. The imperative need for embracing multi-agent models in the management of 5G networks is staunchly justified. Conventional centralized control systems have been unequivocally deemed inadequate in the context of 5G environments, where they grapple with the rapid adaptation required to respond to the fluid nature of network changes. The multi-agent approach presents an innovative solution by facilitating the distribution of network management responsibilities across numerous agents, each empowered to make autonomous decisions even in conditions fraught with uncertainty. In a display of innovative thinking, meticulously structured model for a multi-agent 5G network management system, comprised of the following components: • Agents: These agents play a pivotal role, embodying various subsystems within the network, each bearing the responsibility for specific tasks, thus ensuring a more streamlined and efficient network management process. • Situational Network: This functions as the connective tissue, providing a comprehensive framework to describe the intricate interactions and relationships between the agents and the network itself. It serves as a beacon for communication and coordination, facilitating a harmonious network operation. • Management Efficiency Criteria: This critical aspect of the model establishes the set of benchmarks and standards by which the effectiveness of network management is meticulously assessed. It’s the yardstick by which the success and efficiency of the multi-agent approach are quantified. In sum, this article underscores the pivotal role of multi-agent systems in the successful management of 5G networks, heralding a new era of adaptability, efficiency, and resilience in rapidly changing telecommunication landscape.

An Open-Source Platform for Indoor Environment Monitoring with Participatory Comfort Sensing

We present an open-source wireless network and data management system for collecting and storing indoor environmental measurements and perceived comfort via participatory sensing in commercial buildings. The system, called a personal comfort and indoor environment measurement (PCIEM) platform, consists of several devices placed in office occupants' work areas, a wireless network, and a remote database to store the data. Each device, called a PCFN (personal comfort feedback node), contains a touchscreen through which the occupant can provide feedback on their perceived comfort on-demand, and several sensors to collect environmental data. The platform is designed to be part of an indoor climate control system that can enable personalized comfort control in real-time. We describe the design, prototyping, and initial deployment of a small number of PCFNs in a commercial building. We also provide lessons learned from these steps. Application of the data collected from the PCFNs for modeling and real-time control will be reported in future work. We use hardware components that are commercial and off-the-shelf, and our software design is based on open-source tools that are freely and publicly available to enable repeatability.

LSSDNF: A Lightweight Secure Software Defined Network Framework for Future Internet in 5G–6G

As information technology advances quickly, so does the 5G–6G network management system, which is moving toward greater integration, decentralization, diversity, and intelligence. As flexibility is a crucial criterion for 5G–6G network architecture, we use the Software Defined Network (SDN) paradigm to make the programmability more flexible. Due to their ability to replace the current TCP/IP architecture with one that separates the control plane and data plane, software-defined networks have gained much popularity. However, they are susceptible to routing attacks. Therefore, this work proposes Lightweight Security Framework that combines blockchain technology with Software-Defined Networking (LSSDNF) to address this problem. The proposed framework adds the routing data that the controller withheld to the multichain blockchain. Here, a mininet network simulator is used to model the proposed framework. The data transfer rate or network throughput, bandwidth variation, and jitter have all been used to assess the performance of single-controller-SDN networks and multi-controller-SDN networks. The results demonstrate that the proposed framework performs better than the conventional single-controller-SDN architecture in terms of throughput, bandwidth fluctuation, and jitter.