Quality of the Information Flow Management at Stochastic Energy Consumption Conditions
Modern energy systems are rapidly changing and becoming increasingly complex. This process is facilitated by the growing demand for distributed energy resources, renewable energy sources, and distributed generation. This makes the energy system highly stochastic. An integral part of the concept of s...
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General Energy Institute of the National Academy of Sciences of Ukraine
2023
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System Research in Energy| _version_ | 1871104319803097088 |
|---|---|
| author | Kovtun, Svitlana Ponomarenko, Oleksandr Nazarenko, Oleg |
| author_facet | Kovtun, Svitlana Ponomarenko, Oleksandr Nazarenko, Oleg |
| author_institution_txt_mv | [
{
"author": "Svitlana Kovtun",
"institution": null
},
{
"author": "Oleksandr Ponomarenko",
"institution": null
},
{
"author": "Oleg Nazarenko",
"institution": null
}
] |
| author_sort | Kovtun, Svitlana |
| baseUrl_str | https://systemre.org/index.php/journal/oai |
| collection | OJS |
| datestamp_date | 2026-07-18T12:57:47Z |
| description | Modern energy systems are rapidly changing and becoming increasingly complex. This process is facilitated by the growing demand for distributed energy resources, renewable energy sources, and distributed generation. This makes the energy system highly stochastic. An integral part of the concept of smart grids is the production of energy from distributed energy sources. Modernization of the energy network with the help of intelligent technologies allows us to fully take into account the peculiarities of energy consumption. The smart grid paradigm envisions flexible energy demand and storage to cope with the variability of renewable energy sources. A necessary condition for the implementation of demand response is an improved infrastructure, especially information and communication technologies. The paper presents the results of research on the quality of information flow management under conditions of stochastic energy consumption by maintaining a stationary queue of information transmission through the network and preventing overloading of the controlled network segment. The stages of monitoring and assessment of the network state, as well as the methodology of identification of network parameters are presented. According to the results of the analysis of the system of key network parameters and the specifics of their application for managing the quality of network service, it has been established that using the statistical approach one can distinguish between the key parameters of the network. The wireless network has been researched, which allows us to build a quality of service management system by regulating and shaping traffic. It is shown that when using a polling system with feedback on the speed of buffer filling to organize requests in the network, it is possible to maintain a stationary queue with a non-stationary flow of requests. |
| doi_str_mv | 10.15407/srenergy2023.03.078 |
| first_indexed | 2026-03-24T02:03:08Z |
| format | Article |
| fulltext |
Системні дослідження в енергетиці. 2023. 3(74) 78
ISSN 2786-7102 (Online), ISSN 2786-7633 (Print)
https://doi.org/10.15407/srenergy2023.03.078
UDC 621.3
Svitlana Kovtun*, Dr. Sci. (Engin.), Senior Researcher, https://orcid.org/0000-0002-6596-3460
Oleksandr Ponomarenko, PhD (Engin.), Senior Research Scientist, https://orcid.org/0000-
0002-6538-0468
Oleg Nazarenko, PhD (Engin.), Senior Research Scientist, https://orcid.org/0000-0003-1873-
1971
General Energy Institute of NAS of Ukraine, 172, Antonovycha St., Kyiv, 03150, Ukraine
*Corresponding author: dep4_ize@ukr.net
_______________________________________________________________________________________
QUALITY OF THE INFORMATION FLOW MANAGEMENT AT
STOCHASTIC ENERGY CONSUMPTION CONDITIONS
Abstract. Modern energy systems are rapidly changing and becoming increasingly complex. This
process is facilitated by the growing demand for distributed energy resources, renewable energy sources,
and distributed generation. This makes the energy system highly stochastic. An integral part of the
concept of smart grids is the production of energy from distributed energy sources. Modernization of the
energy network with the help of intelligent technologies allows us to fully take into account the
peculiarities of energy consumption. The smart grid paradigm envisions flexible energy demand and
storage to cope with the variability of renewable energy sources. A necessary condition for the
implementation of demand response is an improved infrastructure, especially information and
communication technologies. The paper presents the results of research on the quality of information
flow management under conditions of stochastic energy consumption by maintaining a stationary queue
of information transmission through the network and preventing overloading of the controlled network
segment. The stages of monitoring and assessment of the network state, as well as the methodology of
identification of network parameters are presented. According to the results of the analysis of the system
of key network parameters and the specifics of their application for managing the quality of network
service, it has been established that using the statistical approach one can distinguish between the key
parameters of the network. The wireless network has been researched, which allows us to build a quality
of service management system by regulating and shaping traffic. It is shown that when using a polling
system with feedback on the speed of buffer filling to organize requests in the network, it is possible to
maintain a stationary queue with a non-stationary flow of requests.
Keywords: wireless network, information delay, stochastic energy consumption.
1. Introduction
Modern energy systems are rapidly changing and becoming increasingly complex. The forms of
production, transportation and use of energy are transforming all over the world. For example, renewable
energy sources are on the rise and are beginning to replace traditional generating units in energy systems [1]–
[2]. The growing demand for distributed energy resources, renewable energy sources and distributed
generation leads to the fact that more and more distribution networks change the one-way flow of electricity
to a two-way one [3]. This makes the energy system highly stochastic [4].
It should be noted that energy production from distributed energy sources is an integral part of the
concept of smart grids. In particular, in the UK, the concept of "smart local energy systems" has become
popular as a concept around which the idea of coordinated decentralization can be organized. Smart local
energy systems include information and communication technologies to provide automation and self-
regulation of distributed energy resources to support balancing and flexibility between energy vectors at the
local level [5]. Modernization of the power grid with the help of intelligent technologies makes it possible to
fully take into account the peculiarities of energy consumption. Thus, electricity consumers who use smart
meters with two-way communication functions together with modern communication infrastructure can now
participate in the network.
Системні дослідження в енергетиці. 2023. 3(74) 79
Smart grids should integrate cost-effective energy resources [6] to enable traditional grid-dependent
consumers to become active consumers [7] and to some extent solve distribution grid problems such as
voltage fluctuations [8] and grid capacity [9].
The smart grid paradigm implies flexible demand and energy storage in order to cope with the
variability of renewable energy sources. In this aspect buildings are often put forward as a potential supplier
of flexibility services through demand side management and distributed energy storage, partly as thermal
energy. In [10], the influence of advanced control algorithms on the use of building energy flexibility in an
all-electric residential building ready for the smart grid is investigated. The researchers found that energy
cost reductions of up to 21% and 43% can be achieved using a rule-based and intelligent algorithm,
respectively, without compromising thermal comfort in the building.
Smart dispatching and modeling techniques that should be used in demand response programs have a
positive impact on energy systems. For example, in work [11] it was proved that the appropriate demand
response is beneficial for reducing both the costs of operating the power system and the costs of users.
Demand response has been widely regarded as an effective way to provide regulation services for smart grids
by controlling demand-side resources via new and improved information and communication technologies.
A prerequisite for the implementation of demand response is an improved infrastructure, especially
information and communication technologies.
Information and communication technologies have been constantly improved during the last decades,
and the most advanced of them, for example, wireless communication networks, can facilitate the effective
management of intelligent energy systems [12]. With the increasing complexity of energy systems due to the
high penetration of renewable energy sources and the growing variety of requirements, communication
technologies that coordinate the work of energy system participants are becoming increasingly important to
ensure the reliability of energy systems [13]−[14].
One of the main problems in information and communication technologies, as well as research on
large-scale power systems, is the difficulty of stabilizing voltage and frequency for power systems [15]. A
popular method used to model systems that contain a high level of uncertainty is stochastic programming.
The study [16] presents a new energy and reserve planning model for a power system using stochastic
programming to optimize energy and reserve planning in order to minimize the operating costs of a
renewable energy network structure.
Another challenge in implementing smart grids is ensuring a continuous flow of real-time data to
enable feedback. For example, in [17] the question of studying stochastic characteristics and the quantitative
method of time delay is considered, the cyber level and physical components in global energy systems are
modeled. Considerable attention is paid to the process of transmitting a data packet at the cyber level and the
distribution of probabilities of multiple delays in a spatial sequence using mass service theory and signal
convolution methods.
The aim of this article is to ensure the quality of information flow management in conditions of
stochastic energy consumption by maintaining a stationary queue of information transmission over the
network and preventing overloading of the controlled network segment.
2. Research methodology
When optimising the parameters and structure of communication networks in the target function
includes a large number of basic and additional parameters, which determines the quality-of-service (QoS).
The technology of monitoring and analysis is laid in the process of designing communication
networks. It is an integral part of the overall problem of ensuring the continued functioning of the network,
in particular, the QoS. The task of network design involves three stages: the choice of network topology, the
choice of technologies, on the basis of which will be implemented and the choice of equipment. In real
situations, for example, when creating wireless networks, the choice of topology is dictated by the specifics
of the use of the radio channel. The topology "star" and a combination of topology "ring" and "common bus"
are most appropriate. They are essentially determined by the variants of the wireless network architecture: an
Системні дослідження в енергетиці. 2023. 3(74) 80
independent configuration (Ad Hoc) and infrastructure configuration (structured network). Despite the fact
that the differences between these architectures are insignificant, they significantly affect indicators such as
the number of users who can connect to the network, the scale of the network, network interference
resistance, etc. In turn, among selected technologies, the advantage is usually given to one of many. This is
quite logical, since the mixing of heterogeneous technologies within a single autonomous segment of the
network will certainly lead to inconsistencies in the technical and operational characteristics, it will cause the
need to support a large number of network exchange protocols, resolving conflicts between heterogeneous
protocols and interfaces, etc. As a result, there will be inefficient use of network resources and reduced
network performance.
Thus, the problem of the choice of equipment becomes decisive. The technology of analysis,
monitoring and diagnostics is a set of diagnostic tools and methods of their use that allow an objective
assessment of the quality of the work of hardware and applications in the network and justify
recommendations for improving their work 18.
2.1. Methodology of monitoring and estimation of network state
The method of continuous network diagnostics is to split the process into the next interconnected
stages.
1. At the first stage, diagnostics is performed on the physical level to exclude errors and correctly
interpret the results of further testing.
2. At the second stage it is expedient to conduct diagnostics of the terminal nodes of the network by
stress testing of the network in two modes:
- calibration mode with load only on the network to detect hardware and software implementation
errors;
- mode loaded only on the network to detect problems with the interaction of stations, bottlenecks on
the server and in communication channels.
3. The final stage of the diagnostic of the network is the diagnostics of the applied network software.
The effectiveness of the use of the network is largely determined by the quality of management in
conditions of overload. As long as the network is loaded insignificantly, the number of packets received and
processed is equal to the number of those arriving at the input of the switching node. However, when a very
large amount of data enters the network, overload may occur, and performance may worsen. With excessive
downloads, the bandwidth of a channel or network throughput may become nil. This situation leads to a
network collapse. Overload generates avalanche processes: overflow buffer leads to loss of packets that have
to be transmitted repeatedly or even several times. The processor of the sending party receives an additional
parasitic boot. All this suggests that overload control is an extremely important process. It is necessary to
distinguish between flow control and overload control. Flow control means the balancing of the sender's flow
and the ability to receive and process the receiver. In this type of control, it is assumed that there is feedback
between the recipient and the sender. In the process, as a rule, only two partners are involved. Overloading −
a general phenomenon related to the network as a whole or to its segment.
2.2. Methodology of identification of network parameters
Measurement and control of the information signal are traditional for automatic control systems, but
do not find application in the transmission area because of the spatial diversity of the input and output of
transmission channels, resulting in the need to transmit to the point of measurement and control the missing
signal there in uncorrected form. In addition, there is a delay in signalling and control information, which
leads to appropriate delays in management and, more dangerously, can at all lead to loss of stability of the
diagnostic, monitoring and control system as a whole. We propose definition of channel characteristics by
solving the discrete convolution equation of the form:
Системні дослідження в енергетиці. 2023. 3(74) 81
𝑦(𝑛) =
1
𝑁 − 𝑚 + 1
∑ 𝑥(𝑛)ℎ(𝑛 − 𝑚) =
1
𝑁 − 𝑚 + 1
∑ 𝑥(𝑛 − 𝑚)ℎ(𝑛).
𝑁−𝑚+1
𝑚=0
𝑁−𝑚+1
𝑚=0
In this case, measurement of input and output signals is required. Since the data transmitted at the
physical level is the signal information, the implementation of the measurement process is simplified: there
is no need to transmit any information about it to the receiving station of the network. Very interesting is the
method of determining the characteristics of the channel on the measurable function of mutual correlation.
The method is based on the definition by solving the equation of convolution, which binds 𝑅𝑥(𝑚) with
ℎ(𝑚) and the autocorrelation function 𝑅𝑥(𝑚) of the input signal:
𝑅𝑥𝑦(𝑚) =
1
𝑁 − 𝑚 + 1
∑ ℎ(𝑛)𝑅𝑥(𝑛 − 𝑚)
𝑁−𝑚+1
𝑚=0
.
The results of correlation analysis also serve as a key indicator of monitoring and regulation of data
flows and Web services. This is necessary to ensure the secure transmission of information over the network,
forecasting and preventing the overload of a controlled network segment. Thus, the current monitoring and
management of the security level in the network, which is an integral part of the overall management of the
quality of service, can be successfully carried out by statistical methods, in particular, by the method of
correlation-regression and entropy analysis.
3. Results
Let's use the polling method for dissolving this problem. For this purpose, let's write the mathematical
model of the query process for elements of wireless network. The polling system consists of M queues for
network elements. For each of the elements by random law, an order for the issuance of a certain amount of
data is received. The process of receiving inquiries is stationary and ergodic. The probability of receiving at
m-th element at the same time more than one request is considered to be of the second order of smallness.
During service time [𝑡𝑖 … 𝑡𝑖 + 𝜏], your 𝜓𝑚(𝑙𝑚) data sets can be sent. 𝑙𝑚− the length of the queue at a time
𝑡𝑖; 𝜓𝑚− discipline of service (cyclic, periodic based on the poling table, by random rule, with priorities). The
probability of serving exactly 𝑘 requests in the interval 𝜏 denote 𝑝𝜏𝑘.
We formulate the conditions that must satisfy the discipline of service.
If at the moment of requesting the m-th item in the queue already there are 𝑙𝑚 − 1 queries, they are
served according to the discipline of FIFO (first in - first out) or FIFO with priorities. Service queues leave
the system. Then the request goes to the next item. It is believed that conditions 𝜓𝑚(1) = 1 with probability
𝑝𝜏1 = 1; 𝜓𝑚(𝑙𝑚) ≤ 𝑙𝑚 with probability 𝑝𝜏𝑚 < 1 always executed.
Let 𝜆 is the average intensity of the flow of requests at the interval of observation, 𝜇 − the average
intensity of the request service; 𝑝𝑚− the probability of a query on the 𝑚-th element. Then, when the
condition 𝜆 (
1
𝜇
+ max
𝑀
𝑝𝑚
Ψ𝑚𝑣𝑚
) < 1 is fulfilled, there is a decrease in the length of the queue, when 𝜆 (
1
𝜇
+
max
𝑀
𝑝𝑚
Ψ𝑚𝑣𝑚
) = 1, it is convergence to the stationary value of the queue length, and when 𝜆 (
1
𝜇
+
max
𝑀
𝑝𝑚
Ψ𝑚𝑣𝑚
) > 1 − the queue length in the system increases indefinitely until the queue is filled. In the latter
case, there may be a loss of queries and there is a need to organize a repeat request. Here 𝑣𝑚 is the average
number of queries entering the 𝑚-th element on the interval of observation.
Let's consider the problem of the estimation of the queue length in the non-stationary flow of queries.
As is well known, the conditions of regularity and absence of after-effects are feasible for a wide range of
conditions. At the same time, the assumptions about stationarity give rise to serious doubts, and sometimes
they are really erroneous.
In order to provide a stationary (or close to it) queuing length mode in a non-stationary flow of
( )g n
Системні дослідження в енергетиці. 2023. 3(74) 82
requests, we have developed a modified polygon method with feedback, whose parameters are determined
not only by the effects of the analysis of the size of the filled part of the total buffer volume, but also on the
speed of its filling. Considered exhaustive, gateway and l-limited discipline of service.
The service system is asymmetric, and the signalling and control information is delayed, in general,
different for each serviced item. Such a model is described by a system of differential-difference equations
(equations with a deviating argument).
To simplify the problem and obtain asymptotic estimates, suppose that the control system can be
described with accuracy acceptable for this application by linear differential equations with coefficients
constant on the observation interval:
𝑦𝑎𝑠𝑖
′ (𝑡) = 𝑏𝑖𝑦𝑎𝑠𝑖(𝑡 − 𝜏) + 𝑢𝑖(𝑡 − 𝑣𝑖) + 𝜉𝑖(𝑡) (1)
Fig. 1. Model of a polling system with a periodic query and limited comprehensive service with feedback on the rate of
filling the buffer
It is well known that for equations with a deviating argument, the method of approximating
differential equations by difference equations is particularly effective.
We write the difference equation with the first-order differences for the initial equation (1) without
additive noise in the observations:
𝑦𝑎𝑠𝑖(𝑡) − 𝑦𝑎𝑠𝑖(𝑡 − ∆𝑡)
∆𝑡
≈ 𝑏𝑖𝑦𝑎𝑠𝑖(𝑡 − 𝑘∆𝑡) + 𝑢𝑖(𝑡 − 𝑚∆𝑡), (2)
where ∆𝑡 is elementary interval; 𝑘∆𝑡 = 𝜏𝑖 is the delay of information about state of object; 𝑚∆𝑡 = 𝑣𝑖 is the
delay of control signal.
The equation (2) for the normalized elementary interval
∆𝑡
𝑇𝑝
= 1 will take the following form:
𝑦𝑎𝑠𝑖(𝑛) ≈ 𝑦𝑎𝑠𝑖(𝑛 − 1) + 𝑏𝑖𝑦𝑎𝑠𝑖(𝑛 − 𝑘) + 𝑢𝑖(𝑛 − 𝑚), 𝑛 = 0,1,2,3, … (3)
After performing the z-transform (3), we obtain the expression for the system function of the control
system parameters of the discipline of service of the terminal nodes:
𝐻(𝑧) =
𝑧−𝑚
1 − 𝑧−1 − 𝑏𝑖𝑧−𝑘
. (4)
Thus, when using a polling system with feedback on speed of buffer filling to organize queries in a
network, stationary queuing can be maintained with non-stationary flow of queries.
Source 1
Source 2
Source 3
Source N
Queue N
Queue 1
Queue 2
Queue 3 Delay
regulation
Analysis
Control
buffer filling
Q
u
e
ri
e
s
Системні дослідження в енергетиці. 2023. 3(74) 83
4. Conclusions
Next-generation communication technologies would improve connectivity and responsiveness, which
could lead to more efficient and smarter operations of the energy systems with high penetration of renewable
energy and increased distributed energy sources.
The paper presents the results of research the quality of information flow management in conditions of
stochastic energy consumption by maintaining a stationary queue of information transmission over the
network and preventing overloading of the controlled network segment. When using the key parameters of
the telecommunication network's efficiency as a complex system with delayed signalling and control
information it is possible to predict its state and solve the problems of quality management of the service in
real time.
In order to develop a method for determining the average value of packet service time based on the
Markov model of the behaviour of a network of homogeneous nodes, a wireless network consisting of N
nodes was investigated. The main purpose of developing a simulation technique is to find the mean time
value of the service packet T, measured from the moment either the packet arrives in the empty queue of the
given node, or the end of the service of the previous packet from this queue, either obtaining an ACK
acknowledgment, or ending the time interval after the last unsuccessful transmission attempt.
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ЯКІСТЬ УПРАВЛІННЯ ІНФОРМАЦІЙНИМИ ПОТОКАМИ В
УМОВАХ СТОХАСТИЧНОГО ЕНЕРГОСПОЖИВАННЯ
Світлана Ковтун*, д-р техн. наук, ст. досл., https://orcid.org/0000-0002-6596-3460
Олександр Пономаренко, канд. техн. наук, ст. наук. співр., https://orcid.org/0000-0002-
6538-0468
Олег Назаренко, канд. техн. наук, ст. наук. співр., https://orcid.org/0000-0003-1873-1971
Інститут загальної енергетики НАН України, вул. Антоновича, 172, м. Київ, 03150,
Україна
*Автор-кореспондент: dep4_ize@ukr.net
Анотація. Сучасні енергетичні системи швидко змінюються та стають все більш складними.
Цьому процесу сприяє зростання попиту на розподілені енергетичні ресурси, відновлювані
джерела енергії та розподілену генерацію. Це робить енергосистему високостохастичною.
Невід’ємною частиною концепції розумних мереж є виробництво енергії з розподілених джерел
енергії. Модернізація енергомережі за допомогою інтелектуальних технологій дозволяє повністю
врахувати особливості енергоспоживання. Парадигма розумної електромережі передбачає
гнучкий попит і зберігання енергії, щоб впоратися з мінливістю відновлюваних джерел енергії.
Необхідною умовою впровадження реагування на попит є вдосконалена інфраструктура,
особливо інформаційно-комунікаційні технології. У роботі наведено результати дослідження
якості управління інформаційними потоками в умовах стохастичного енергоспоживання шляхом
підтримки стаціонарної черги передачі інформації мережею та запобігання перевантаженню
контрольованого сегмента мережі. Наведено етапи моніторингу та оцінки стану мережі, а
також методологію ідентифікації параметрів мережі. За результатами аналізу системи
ключових параметрів мережі та специфіки їх застосування для управління якістю обслуговування
мережі встановлено, що за допомогою статистичного підходу можна розрізняти ключові
параметри мережі. Досліджено бездротову мережу, яка дозволяє побудувати систему
управління якістю обслуговування шляхом регулювання та формування трафіку. Показано, що
при використанні системи опитування зі зворотним зв’язком за швидкістю заповнення буфера
для організації запитів у мережі можна підтримувати стаціонарну чергу з нестаціонарним
потоком запитів.
Ключові слова: бездротова мережа, затримка інформації, стохастичне енергоспоживання.
Надійшла до редколегії: 07.08.2023
http://dx.doi.org/10.1007/978-3-030-69189-9_5
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| id | systemreorg-article-808 |
| institution | System Research in Energy |
| keywords_txt_mv | keywords |
| language | English |
| last_indexed | 2026-07-19T01:22:13Z |
| publishDate | 2023 |
| publisher | General Energy Institute of the National Academy of Sciences of Ukraine |
| record_format | ojs |
| resource_txt_mv | systemreorg/cd/3a6ce58501acfe25d35acf6b728ddbcd.pdf |
| spelling | systemreorg-article-8082026-07-18T12:57:47Z Quality of the Information Flow Management at Stochastic Energy Consumption Conditions Якість управління інформаційними потоками в умовах стохастичного енергоспоживання Kovtun, Svitlana Ponomarenko, Oleksandr Nazarenko, Oleg : wireless network, information delay, stochastic energy consumption. бездротова мережа, затримка інформації, стохастичне енергоспоживання. Modern energy systems are rapidly changing and becoming increasingly complex. This process is facilitated by the growing demand for distributed energy resources, renewable energy sources, and distributed generation. This makes the energy system highly stochastic. An integral part of the concept of smart grids is the production of energy from distributed energy sources. Modernization of the energy network with the help of intelligent technologies allows us to fully take into account the peculiarities of energy consumption. The smart grid paradigm envisions flexible energy demand and storage to cope with the variability of renewable energy sources. A necessary condition for the implementation of demand response is an improved infrastructure, especially information and communication technologies. The paper presents the results of research on the quality of information flow management under conditions of stochastic energy consumption by maintaining a stationary queue of information transmission through the network and preventing overloading of the controlled network segment. The stages of monitoring and assessment of the network state, as well as the methodology of identification of network parameters are presented. According to the results of the analysis of the system of key network parameters and the specifics of their application for managing the quality of network service, it has been established that using the statistical approach one can distinguish between the key parameters of the network. The wireless network has been researched, which allows us to build a quality of service management system by regulating and shaping traffic. It is shown that when using a polling system with feedback on the speed of buffer filling to organize requests in the network, it is possible to maintain a stationary queue with a non-stationary flow of requests. Сучасні енергетичні системи швидко змінюються та стають все більш складними. Цьому процесу сприяє зростання попиту на розподілені енергетичні ресурси, відновлювані джерела енергії та розподілену генерацію. Це робить енергосистему високостохастичною. Невід’ємною частиною концепції розумних мереж є виробництво енергії з розподілених джерел енергії. Модернізація енергомережі за допомогою інтелектуальних технологій дозволяє повністю врахувати особливості енергоспоживання. Парадигма розумної електромережі передбачає гнучкий попит і зберігання енергії, щоб впоратися з мінливістю відновлюваних джерел енергії. Необхідною умовою впровадження реагування на попит є вдосконалена інфраструктура, особливо інформаційно-комунікаційні технології. У роботі наведено результати дослідження якості управління інформаційними потоками в умовах стохастичного енергоспоживання шляхом підтримки стаціонарної черги передачі інформації мережею та запобігання перевантаженню контрольованого сегмента мережі. Наведено етапи моніторингу та оцінки стану мережі, а також методологію ідентифікації параметрів мережі. За результатами аналізу системи ключових параметрів мережі та специфіки їх застосування для управління якістю обслуговування мережі встановлено, що за допомогою статистичного підходу можна розрізняти ключові параметри мережі. Досліджено бездротову мережу, яка дозволяє побудувати систему управління якістю обслуговування шляхом регулювання та формування трафіку. Показано, що при використанні системи опитування зі зворотним зв’язком за швидкістю заповнення буфера для організації запитів у мережі можна підтримувати стаціонарну чергу з нестаціонарним потоком запитів. General Energy Institute of the National Academy of Sciences of Ukraine 2023-08-24 Article Article application/pdf https://systemre.org/index.php/journal/article/view/808 10.15407/srenergy2023.03.078 System Research in Energy; No. 3 (74) (2023): System Research in Energy; 78-84 Системні дослідження в енергетиці; № 3 (74) (2023): Системні дослідження в енергетиці; 78-84 2786-7102 2786-7633 en https://systemre.org/index.php/journal/article/view/808/699 Copyright (c) 2023 Svitlana Kovtun, Oleksandr Ponomarenko, Oleg Nazarenko https://creativecommons.org/publicdomain/zero/1.0 |
| spellingShingle | : wireless network information delay stochastic energy consumption. Kovtun, Svitlana Ponomarenko, Oleksandr Nazarenko, Oleg Quality of the Information Flow Management at Stochastic Energy Consumption Conditions |
| title | Quality of the Information Flow Management at Stochastic Energy Consumption Conditions |
| title_alt | Якість управління інформаційними потоками в умовах стохастичного енергоспоживання |
| title_full | Quality of the Information Flow Management at Stochastic Energy Consumption Conditions |
| title_fullStr | Quality of the Information Flow Management at Stochastic Energy Consumption Conditions |
| title_full_unstemmed | Quality of the Information Flow Management at Stochastic Energy Consumption Conditions |
| title_short | Quality of the Information Flow Management at Stochastic Energy Consumption Conditions |
| title_sort | quality of the information flow management at stochastic energy consumption conditions |
| topic | : wireless network information delay stochastic energy consumption. |
| topic_facet | : wireless network information delay stochastic energy consumption. бездротова мережа затримка інформації стохастичне енергоспоживання. |
| url | https://systemre.org/index.php/journal/article/view/808 |
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