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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>of the Reengineering Problem of Ground-Based Environmental Monitoring Networks Topological Structures</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Vladimir Beskorovainyi</string-name>
          <email>vladimir.beskorovainyi@nure.ua</email>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Valerii Semenets</string-name>
          <email>valerii_semenets@ieee.org</email>
        </contrib>
        <contrib contrib-type="editor">
          <string-name>«Intellectual Systems and Information Technologies», September</string-name>
        </contrib>
      </contrib-group>
      <abstract>
        <p>Changes in operating conditions or monitoring tools reduces the effectiveness of existing options for implementing networks and requires their reengineering. To ensure the effectiveness of design solutions, it is proposed to jointly solve the problems of structural, topological, parametric and technological optimization of system networks in terms of a variety of indicators. The basic formulation of the problem of reengineering of the topological structures of centralized three-level ground networks has been determined, for which a set of feasible solutions and estimates of indicators of costs, efficiency, reliability and survivability are formalized. Taking into account the fact that the cardinalities of the sets of admissible functioning technologies, parameters of elements and connections of networks are insignificant, the main difficulties are in solving problems of optimizing their topological structures. Such problems are solved with a variety of functional and cost indicators, taking into account numerous restrictions. The proposed universal functions for scalar estimation of options more accurately describe the preferences of the decision-maker and reduce the time complexity of the estimation procedures. Mathematical relationships were obtained to assess options for building centralized three-level networks in terms of costs, efficiency, reliability and survivability. Their use makes it possible to carry out scalar evaluations of alternative options in automatic mode. The proposed options evaluation functions more accurately describe the benefits of the design decision maker and allow reducing the time complexity of the evaluation procedures. optimization. Environmental monitoring network, structure, topology, reengineering, multi criteria development ISIT 2021: II International Scientific and Practical Conference CEUR Workshop Proceedings (CEUR-WS.org)</p>
      </abstract>
      <kwd-group>
        <kwd>Keywords1</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>carried
objects
out
safe
technogenic
society
requires
a</p>
      <p>
        modern
systematic
observations, control, assessment of
human
impact on the environment, carried out by the
systems of integrated environmental monitoring
[
        <xref ref-type="bibr" rid="ref1">1</xref>
        ]. One of the main functions of such systems is
the receipt, registration and timely transmission of
large time series of data for the analysis [
        <xref ref-type="bibr" rid="ref2 ref3">2-3</xref>
        ].
Data transmission in
monitoring
      </p>
      <p>systems is
using
networks
with
different
structures depending on the characteristics of the
control.</p>
      <p>The
improvement
of</p>
      <p>2021 Copyright for this paper by its authors. Use permitted under Creative
Commons License Attribution 4.0 International (CC BY 4.0).
technologies for collecting, transmitting and
processing data opens up new prospects for the
development
inexpensive
of</p>
      <p>monitoring
data
loggers
are</p>
      <p>
        networks:
increasingly
used [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ]; due to the numerous advantages of
automated
measurements,
data
are
collected
continuously with minimal human intervention
[
        <xref ref-type="bibr" rid="ref5">5</xref>
        ]; real-time data collection plays an important
role in weather forecasting, hydrological analysis,
disaster impact assessment, etc. [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ].
      </p>
      <p>Changes in operating conditions (requirements
for reliability,
observations,
efficiency</p>
      <p>
        and
number
of
accuracy
objects
of
of
observation) or monitoring tools (improvement of
technologies
processing,
storing
and
the
for
transmitting information) reduces the
effectiveness of existing options for implementing
networks and requires their reengineering. The
process of monitoring networks reengineering is
carried out based on the results of solving a
complex of combinatorial problems of optimizing
their structures, topologies, parameters of
elements and channels of information
transmission, selection of technologies for
collecting, transmitting and processing
information [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ].
      </p>
      <p>
        Taking into account the fact that the
cardinalities of the sets of admissible functioning
technologies, parameters of elements and
connections of networks are insignificant, the
main difficulties are in solving problems of
optimizing their topological structures. Such
problems are solved with a variety of functional
and cost indicators, taking into account numerous
restrictions. This requires the use of modern
models and methods to support the adoption of
multi-criteria decisions [
        <xref ref-type="bibr" rid="ref8 ref9">8-9</xref>
        ].
      </p>
      <p>
        Despite numerous publications devoted to
solving the problems of reengineering the
topological structures of ground-based
environmental monitoring networks, a
contradiction was revealed between the need to
increase the efficiency of existing options for their
implementation and the limitations of
mathematical models of multi criteria problems of
their optimization. In particular, it is necessary to
improve the adequacy of models for assessing
functional and expenditure indicators,
preferences, decision-makers, and scalar
multicriteria assessment models for building networks
[
        <xref ref-type="bibr" rid="ref10 ref11">10-11</xref>
        ].
      </p>
      <p>The aim of the study is to increase the
efficiency of technologies for computer-aided
design of ground-based environmental
monitoring networks through the development of
mathematical models of multi criteria problems of
reengineering of their topological structures.</p>
    </sec>
    <sec id="sec-2">
      <title>2. Mathematical model of the basic problem of network reengineering</title>
      <p>As the scale of monitoring systems grows,
their cost and functional characteristics become
more and more dependent on the topology of the
(territorial) organization. As a result, it becomes
necessary to solve topological optimization
problems together with traditional problems of
structural synthesis. This gives rise to the problem
of structural-functional-parametric and
topological synthesis.</p>
      <p>Each of the options for building the system
will be presented in the form of a tuple:</p>
      <p>s E,R,G , (1)
where E is the set of system elements; R - set of
direct connections between the elements; G - set
of locations of elements.</p>
      <p>Each of the options for the structure of the
monitoring system E,R can have different
topologies G G* (where G* is the set of
allowable locations of system elements).</p>
      <p>Each of the options for building a system (1)
will correspond to its own set of functional and
cost indicators:</p>
      <p>P
( E,R,G ) ,
(2)
where is some reflection .</p>
      <p>
        As a result of decomposition of the problem
for the reengineering of ground-based
environmental monitoring networks as
territorially distributed objects at the lower level,
the following tasks are identified Taski , i 1,6
[
        <xref ref-type="bibr" rid="ref7">7</xref>
        ]:
 determination of the network
construction principles;
 choice of network structure;
 determination of topology of elements
(nodes, center) and channels of the network;
 choice of the network functioning
technology;
 determination of parameters of elements
(nodes, center) and channels of the network;
 evaluation of efficiency and selection of
design solutions.
      </p>
      <p>Formally, each of the tasks will be presented in
the form of a converter of its input data Ini in its
original data Outi :</p>
      <p>Taski : Ini  Outi , i 1,6 .</p>
      <p>Models of all tasks of the reengineering
problem will be presented in the form:</p>
      <p>ModТaski : InDatiE , InDatiI , Resi
where InDatiE is the set of external input data;
InDatiI - a set of internal input data; Resi - many
restrictions; DesDeci - task solving.</p>
      <p>
        After choosing the principles of construction
Task1 and the technology of functioning Task4 ,
the task of reengineering the topological
DesDeci , i
1, 6 ,
(3)
structures of three-level centralized monitoring
networks is considered in this formulation [
        <xref ref-type="bibr" rid="ref12">12</xref>
        ].
      </p>
      <p>Specified: a set of elements of the existing
network I  { i } , i  1,n , which cover the entire
set of monitoring objects; the existing version of
the topological structure s S (where S is the
set of admissible options), which is given by the
locations of elements, nodes, center (the center is
located at the base of the element i = 1 ), as well
as links between elements, nodes and the center
[sij ] , i, j  1,n (where sij  1 , if there is a direct
connection between elements i and
j - and
sij  0</p>
      <p>otherwise); the cost of creating or
upgrading nodes [ci ] , [di ] , i = 1,n and links
[cij ] , [dij ] i  1,n .</p>
      <p>It is necessary to determine the best variant of
the so S . network topological structure in terms
of costs, efficiency (time of obtaining
information), reliability and survivability.</p>
      <p>The set of acceptable options for building a
centralized three-level network is set by the
conditions:
where τC , τ E is the time for the center to issue a
request and receive information on the monitoring
object by the element; , is the amount of
information in the request and the response to the
request; γ1 , γ2 are capacities of communication
channels "center-node" and "node-element"; h1,
h2 is speed of request and response processing in
network nodes.</p>
      <p>We use the coefficient of the network
availability as an indicator of its reliability,
  δCU u ×  δUE n
k3 (s) = δC ×  δU u ×  δ E n ×
 max
sS

</p>
      <p>Each of the network reengineering options is
set by the number of nodes u, in it, their locations
and the scheme of connections between elements,
nodes and the center [sij ] , i, j  1,n . It is
considered that: the entire set of monitoring
objects is controlled with a given frequency;
nodes of the network are placed exclusively on the
basis of elements; the elements are connected to
the nodes in terms of the minimum cost (distance),
the volume of requests to each element of the
network is equal to α = [αi ], αi = const , i  1,n
; the volume of responses from each of the
elements is equal to
β = [βi ], βi = const ,
i  1,n .</p>
      <p>k2(s) = τC +</p>
      <p>+ τ E +
α
γ1
β
γ2
+
α
γ1
+
α
h1
+</p>
      <p>+
β
h2</p>
      <p>n
β
γ2 j=1 l= j
n
s jl s jj
min,
s S
n n</p>
      <p>i=1</p>
      <p>
        Let us simplify the target function of the costs
of network reengineering [
        <xref ref-type="bibr" rid="ref12">12</xref>
        ]: the costs of
dismantling nodes and channels of the existing
structure and the cost of resources that can be
reused after dismantling the equipment will be
taken into account in the costs of nodes and
channels of the new network. Using the
designations introduced above, we represent the
target cost function in the following form:
n
k1(s , s ) =
      </p>
      <p>[ci (1 - sii ) sii + di sii sii ] +
+ [cij (1 - sij ) sij + dij sij sij ] min.</p>
      <p>j=1 i= j s S</p>
      <p>The criterion of efficiency, which corresponds
to minimizing the maximum time for obtaining
monitoring data, can be presented in the following
form:
(4)
(5)
(6)
(7)
where δC , δU , δ E , δCU , δUE are availability
factors of
communication
the</p>
      <p>center,
channels</p>
      <p>node, element,
"center-node" and
n
"node-element"; n , u =  sii is the number of
i=1
elements and nodes in the network.</p>
      <p>
        We use the value of the proportion of elements
connected to the center in an operable network
with single damage to its components as an
indicator of survivability k4 (s) . In this case,
regardless of the type of network structure, when
the center is damaged k4 (s)
0 , and when one
element or one communication channel
"nodeelement" is damaged k4 (s)
(n
1) / n .With
this in mind, the criterion of maximizing the
survivability of the network will take into account
only the damage of the connections
"centernode", "node-element" and nodes:
k4 (s) =
min
1 j n
n
n n
j=2 i= j s jisii / n
max . (8)
s S
process of network optimization. Scalar
multifactor assessment models are used to select a
subset of the most effective options and the best
among them for building an environmental
monitoring network [
        <xref ref-type="bibr" rid="ref10 ref11 ref8 ref9">8-11</xref>
        ].
      </p>
    </sec>
    <sec id="sec-3">
      <title>3. Scalar evaluation construction options of network</title>
      <p>
        To determine the scalar estimates of the quality
of variants, we use the apparatus of utility theory
[
        <xref ref-type="bibr" rid="ref15">15</xref>
        ]. For decision options, we will set the meaning
of their value P( s ), , which will determine their
order by quality. Wherein s,v  S :
 s v  P( s )  P( v ) ;


s
      </p>
      <p>v  P( s )  P( v ) ;
s v  P( s )  P( v ) .</p>
      <p>
        It is proposed to establish the value of scalar
estimates for the quality of options based on the
generalized utility function built on the basis of
the Kolmogorov-Gabor polynomial [
        <xref ref-type="bibr" rid="ref10 ref11 ref15">10-11, 15</xref>
        ]:
   
ai ( bi1  1 )  1  bi1 /  bi1  ki ( s )  ,0  k i( s )  k ia ;
i ( s )      kia 
ai  ( 1  ai ) ( bi2  1 ) 1  bi2 /  bi2  ki ( s )  k ia  , k ia  ki( s )  1,
   
    1  kia 
(9)
(10)
where i , ij , ijl , are coefficients of importance
of ki ( s ) , i  1,4 criteria and products of criteria
ki ( s ) , k j ( s ) , kl ( s ) ; i ( s ) is the value of the
utility function of the partial criterion ki ( s ) ,
i  1,4 for the option s S ; kia , ai is the value of
the coordinates of the point of sewing the function
(10); 0  kia  1 , 0 ai 1 ; bi1, bi2 are
parameters that determine the nature of function
(10) on the initial and final segments.
      </p>
      <p>
        The generalized utility function (9) makes it
possible to describe any consistent advantages of
the decision maker. Function (10) is the best in
terms of the "accuracy-complexity" complex
indicator among the common utility functions of
particular criteria [
        <xref ref-type="bibr" rid="ref10">10</xref>
        ].
      </p>
    </sec>
    <sec id="sec-4">
      <title>4. Conclusions</title>
      <p>Based on the results of the analysis of the
current state of the problem, it was found that
changes in requirements, operating conditions, the
development of technical means and information
technologies lead to the need for reengineering of
existing environmental monitoring networks. To
ensure the effectiveness of design solutions, it is
advisable to solve jointly combinatorial problems
of structural and topological optimization of
networks with a variety of functional and cost
indicators. Mathematical relationships were
obtained to assess options for building centralized
three-level networks in terms of costs, efficiency,
reliability and survivability. Their use makes it
possible to carry out scalar evaluations of
alternative options in automatic mode. The
proposed options evaluation functions more
accurately describe the benefits of the design
decision maker and allow reducing the time
complexity of the evaluation procedures. The
direction of further research can consist in
accounting of the uncertainty of the functional and
cost characteristics of networks in models of the
problem using the apparatus of fuzzy or interval
analysis and the decoupling of effective methods
for optimizing networks with a variety of
indicators.</p>
      <p>
        Areas of further research of this problem may
be taking into account in the models of uncertainty
of functional and cost characteristics of
monitoring systems using the apparatus of
interval analysis or fuzzy mathematics [
        <xref ref-type="bibr" rid="ref16 ref17 ref18">16-18</xref>
        ].
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