Evaluation of Heterogeneous Wireless Network Using MOORA Method

Abstract

Device-to-device (D2D) and heterogeneous networks are key to the success of 5G networks. Multimodal networks consist of fixed location base stations/small cells, each of which may have a different range and type of connection to a mobile network operator (MNO). wireless networks in our environment use Different access technologies, via wireless LAN Wireless network and cellular that provide the service Services can be maintained while Switching to a network It's wireless called a multicast network. Alternative: VoIP (protocol), Streaming, Web Browsing, and Transmission Control Protocol (TCP). Evaluation Preference: Allowed bandwidth, usage, Packet delay, packet jitter, packet loss to calculate the final value. MOORA system, first by Fraser Introduced, it is a multi-objective optimization technique, which is complex in various manufacturing environments Successful in solving decision-making problems. Can be used. A new method multidisciplinary development with unique alternatives has been proposed: MOORA (Multi-Objective App-Itemization based on ratio analysis). Heterogeneous Wireless Network packet loss is got the first rank whereas is the packet jitter is having the Lowest rank. The value of the dataset for Range of Heterogeneous Wireless Network in MOORA Method shows that it results in Packet Jitter and top ranking.

Full text

DOI: https://doi.org/10.46632/jemm/8/2/4
Copyright@ 2022 REST Publisher 86
REST Journal on Emerging Trends in Modelling and Manufacturing
Vol: 8(2), 2022
REST Publisher; ISSN: 2455-4537
Website: http://restpublisher.com/journals/jemm/
Evaluation of Heterogeneous Wireless Network Using MOORA
Method
*Malarvizhi Mani, M. Ramachandran, Nathiya Murali
REST Labs, Kaveripattinam, Krishnagiri, Tamil Nadu, India
*Corresponding author Email: malarvizhirsri@gmail.com
Abstract. Device-to-device (D2D) and heterogeneous networks are key to the success of 5G networks. Multimodal
networks consist of fixed location base stations/small cells, each of which may have a different range and type of
connection to a mobile network operator (MNO). wireless networks in our environment use Different access
technologies, via wireless LAN Wireless network and cellular that provide the service Services can be maintained
while Switching to a network It's wireless called a multicast network. Alternative: VoIP (protocol), Streaming, Web
Browsing, and Transmission Control Protocol (TCP). Evaluation Preference: Allowed bandwidth, usage, Packet delay,
packet jitter, packet loss to calculate the final value. MOORA system, first by Fraser Introduced, it is a multi-objective
optimization technique, which is complex in various manufacturing environments Successful in solving decision-
making problems. Can be used. A new method multidisciplinary development with unique alternatives has been
proposed: MOORA (Multi-Objective App-Itemization based on ratio analysis). Heterogeneous Wireless Network
packet loss is got the first rank whereas is the packet jitter is having the Lowest rank. The value of the dataset for Range
of Heterogeneous Wireless Network in MOORA Method shows that it results in Packet Jitter and top ranking.
Keywords: Heterogeneous Wireless Network, wireless infrastructures, LTE communication technologies, WiMAX and
LTE networks Integration
1. Introduction
Heterogeneous Wireless Network Also, maintenance using metric data collected during operation we propose analysis
and evaluation for the system. Such an evaluation is optimal for the machine Determines operating conditions, in the same
way it can establish its worst operating conditions; Each Can help management to take into account the best decisions
regarding the machine. The MOORA Methods The best solution is short-range and negative- The solution determines the
long distance from the best solution, but this Comparison of distances is not considered significant. Multi-Criteria Evaluation
(MCE) in GIS is a variety of selected areas for a specific purpose based on characteristics It is a study of allotment of land.
MCE became of compromise alternatives and alternatives according to their attractiveness Makes it possible to create
rankings. A computer network where all computers are the same or have the same or similar architecture, i.e. all network
nodes have the same computer. A similar Homogeneous network. Heterogeneous Information Networks Rich semantics on
nodes and connections Contains information. For example, a bibliography in information networking, teachers, conferences
and by different types of nodes like headers Documents are linked to each other.
2. Heterogeneous Wireless Network
Heterogeneous wireless networks A Simple Policy-Enforced Handoff System Provided, users have the best wireless
system at any time, the policies on what is trading Exchanges can be made between Network characteristics and cost,
performance and dynamics such as power consumption multi- Scale decision making system Access Network
Implementation Selection is described in a heterogeneous network context in [1]. Help us integrate diversity Much emphasis
has been placed on wireless networks Such as cellular networks, WLANs, and many MANETs include interface devices [2].
SDN- A radio resource in based wireless NFV Slicing architecture has three main advantages Contains: Spectrum Sharing is
achieved in Heterogeneous wireless infrastructures are physically overwhelming in a software-based way instead of using
with increased CapEx and OpEx SBSs; A center Global information on controller physical network Holds, resource without
distributed information Facilitates sharing, heterogeneity QoS isolation for coexistence of different services needed. of
different types Service Types. Resource for various service groups QoS isolation by creating fragments a promising approach
to achieving this is resource slicing is [3]. In heterogeneous wireless networks, when is a critical task for mobile terminals
Ideal for various communications anytime, anywhere Selecting a network. Which is called network selection? The latest
Over the years, this topic has been the subject of various mathematical theories is widely studied using Theory used
Optimization determines the scope of complexity and efficiency, and hence the mathematical potential Understand the
principles and get the best result Choosing the right one is important [4]. There are some Wireless Communication Research
Society Incorporated Robust next-generation communications for vehicles to provide DSRC's networking combinations with
studies on Wi-Fi, WiMAX and LTE communication technologies. Also, DSRC roadside at key locations like junctions and
interchanges Units are expected to be installed. Hence, the limited of DSRC Coverage and existing Wi-Fi, WiMAX and LTE

Malarvizhi Mani.et.al / REST Journal on Emerging trends in Modelling and Manufacturing, 8(2), 2022, 86-92
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networks Integration CVT is a heterogeneous wireless network for applications [5]. IoT types Bluetooth, Wi-Fi and ZigBee
are D2D Communication based. Devices across the network with human intervention or can be handled in autonomous
mode. Thus avoiding human intervention, adaptation Signal strength received by MAC and physical basically layering
mechanism an intelligent heterogeneous wireless network is emerging. Multi-hop wireless network for IoT applications
Efficiently handle between BLE and Hallow Becomes smarter. of the received signal Basically the strength between these
technologies Switching and Switching Physical and MAC layer two Methods are proposed [6]. This will create A
heterogeneous wireless access environment. Network congestion and performance degradation. Evolution games in a
heterogeneous wireless network using their Network selection dynamics. Size bandwidth is designed as a dynamic evolution
game in wireless access networks where in different service areas Groups of users are available for sharing competitively
defined [7]. Battery-efficient devices and integrated energy Requirements management tools, heterogeneous wireless network
Electronic, adaptive multimedia delivery in the environment and It is a hybrid of both network selections to reduce
consumption It is tempting to propose an adapter-handling solution. that uses Each element of the proposed solution is for
Jack's best ride have a role in helping connection ever [8]. Heterogeneous Wireless Networks we want to know that instead of
placing base stations connected to each other by a wire network, how to improve the uniformity capacity by using some more
powerful wireless ad hoc networks auxiliary nodes. Note that most of the previous research assumes that the capacity
network area is a square and traffic Symmetry refers to the number of raw nodes same as the number of target nodes.
However, those Special cases only [9]. Although there is previous work that considered wireless caching Algorithms do don’t
for layered video content and different layers consider the relationship between This paper is a Layered video in a
heterogeneous wireless network examines content placement optimization problem of streaming; its purpose is to average
over a distributed caching network Reducing user download time [10].
3. MOORA Method
A multi-objective optimization procedure Also known as simultaneously upgrading multiple criteria or multiple attribute
optimizations is subject to some restrictions on conflicting attributes. To make optimal decisions in the presence of industry,
automobile design or business transactions a variety of fields of interest. Two. Or Conflicting motives. Increasing profits and
lowering the price of an item; Reducing performance and vehicle fuel consumptionThe MOORA method demonstrates
compatibility and ability to solve many Objective decision making problems in a real-time manufacturing environment. The
following six illustrative examples are considered. It is recommended to use the MOORA method, as decision making in a
production environment is very much from them It helps to select the appropriate option, out of many candidate alternatives
for a given problem Figure Six illustrative examples illustrate the effectiveness of this method There Arein all cases, first
alternatives are the same as those obtained by researchers in the past There are. There are minor discrepancies Between
intermediate ranks of This may be due to subjective judgments made by decision makers alternatives.Consider all the
properties that can be found in The MOORA mode is relatively important for them, so it can provide the best accurate
estimate. Of alternatives.These explanations Facilities in Lithuania were tested by applications in the field. The application
has several purposes: Costs, experience and performance of contractors; Quality of owners, duration of work and price.
These purposes having different units avoid difficulties in the dimensional proportions of the MOORA system
Normalization. These ratios were consolidated in the first part of the MOORA, and they were in the second Used away from
A reference point. The results of the two types are each other control, it is a test of strength. Ratio Multi-Objective by
Analysis System (MOORA). Optimization Advanced nominal panel technique and Delphi 6 conditions are fulfilled with the
help of method. Additionally, MOORA Multi- Objective Optimization 2 satisfies the seventh condition to some extent using
different methods. MOORA is a very strong organization because no other organization meets the 7 conditions are best.
Dimensionless measurements The MOORA method is based on 2 parts Contains: integration of dimensionless ratios and
These rates are applied to the reference distance point.Minimal mathematical calculations with a strong background in
mathematics, based only in very effective simple ratio analysis useful for those who are indecisive. Also, the calculation time
of the MOORA method is apparently shorter. Similarly, other MODM methods require separate software to perform the task
but MOORA method works in MS Let's Excel. For this reason, The MOORA method is highly efficient for various decision
problems Quality. Compared to other MODM systems like SVR, NN, GA, TM, GRA, GRG, The OORA method is simple
and easy to implement. as in the Decision-making problem.
4. Analysis and Discussion
Hetereogeneous Wireless Networkthe VoIP (protocol) Packet Loss shows higher value, Packet Jitter Lower Displays the
value. Streaming influences packet loss too Shows high value the Packet delay is showing the lowest value. Web Browsing it
is seen that Packet delay is showing the highest value for Packet Jitter is showing the lowest value. Transmission Control
Protocol (TCP)it is seen that Packet Loss is showing the highest value for Allowed Bandwidth is showing the lowest value.

Malarvizhi Mani.et.al / REST Journal on Emerging trends in Modelling and Manufacturing, 8(2), 2022, 86-92
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TABLE 1. Heterogeneous Wireless Network
VoIP(protocol)
Streaming
Web Browsing
Transmission Control
Protocol (TCP)
Allowed
Bandwidth
51.08
179.53
39.15
32.05
Utilization
49.12
192.97
36.69
37.30
Packet delay
44.08
182.58
39.18
33.10
Packet Jitter
43.17
158.28
34.60
37.59
Packet Loss
53.33
286.41
37.96
38.89
Table 1 shows the Heterogeneous Wireless NetworkAlternative: VoIP(protocol), Streaming,Web Browsing, and
Transmission Control Protocol (TCP). Evaluation Preference: Allowed Bandwidth, Utilization, Packet delay, Packet Jitter,
Packet Loss to calculate the final value.
FIGURE 1. Hetereogeneous Wireless Network in Data Set
Figure 1Heterogeneous Wireless Networkthe VoIP(protocol)Packet Loss shows higher value, Packet Jitter Lower Displays
the value. Streaming influences packet loss too Shows high value the Packet delay is showing the lowest value. Web
Browsing it is seen that Packet delay is showing the highest value for Packet Jitter is showing the lowest value. Transmission
Control Protocol (TCP)it is seen that Packet Loss is showing the highest value for Allowed Bandwidth is showing the lowest
value.
TABLE 2. Normalized Data
VoIP(protocol)
Streaming
Web
Browsing
Transmission Control
Protocol (TCP)
Allowed
Bandwidth
0.472786
0.391872
0.466201
0.399
Utilization
0.454645
0.421208
0.436907
0.465
Packet delay
0.407996
0.398529
0.466558
0.412
Packet Jitter
0.399573
0.345488
0.412019
0.468
Packet Loss
0.493612
0.625166
0.452031
0.485
1=1
(󰇛1󰇜2+󰇛2󰇜2+(3)2) (1).
Table 2 shows the various Normalized Data Hetereogeneous Wireless Networkthe VoIP(protocol)Packet Loss shows a
higher value, Packet Jitter shows a lower value. Streaming influences packet loss to The higher the value, the lower the
packet delay. Packet latency shows high value in web browsing, Packet Jitter shows a low value. Transmission Control
Protocol (TCP) packet loss is the maximum allowed bandwidth Shows the value Shows the lowest value The normalized
value is obtained using the formula (1). Table 3 for analysis Displays the weights used. We took the same weight for all the
parameters for analysis.
0.00
50.00
100.00
150.00
200.00
250.00
300.00
Allowed
Bandwidth
Utilization
Packet delay
Packet Jitter
Packet Loss
Heterogeneous Wireless Network in Data Set
VoIP(protocol)
Streaming
Web Browsing
Transmission Control Protocol (TCP)

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TABLE 3. Heterogeneous Wireless Network in Weightage
VoIP(protocol)
Streaming
Web
Browsing
Transmission Control
Protocol (TCP)
Allowed
Bandwidth
0.25
0.25
0.25
0.25
Utilization
0.25
0.25
0.25
0.25
Packet delay
0.25
0.25
0.25
0.25
Packet Jitter
0.25
0.25
0.25
0.25
Packet Loss
0.25
0.25
0.25
0.25
Table 3 shows the weight of the Hetereogeneous Wireless Networkthe weight is equal for all the value in the set of data in
the table 1. The weight is multiplied with the previous table to get the next value.
 =1 × 1(2).
TABLE 4. Heterogeneous Wireless Network in Weighted normalized decision matrix
VoIP(protocol)
Streaming
Web
Browsing
Transmission Control
Protocol (TCP)
Allowed Bandwidth
0.1
0.097968
0.117
0.1
Utilization
0.1
0.105302
0.109
0.116
Packet delay
0.1
0.099632
0.117
0.103
Packet Jitter
0.1
0.086372
0.103
0.117
Packet Loss
0.1
0.156291
0.113
0.121
Table 4 shows the weighted normalization decision matrix it is calculated by multiplying the weight and performance value
in table 2 and table 3 TABLE 5. Heterogeneous Wireless Network in Assessment value
Assessment value
Allowed Bandwidth
-0.00023
Utilization
-0.00647
Packet delay
-0.01813
Packet Jitter
-0.03385
Packet Loss
0.045529
Assesment value =  1+2 3 (3).
Table 5 shows the graphical representation Discordance Micro Heterogeneous Wireless Network in Assessment value of the
Packet Loss 1st value, Allowed Bandwidth 2nd value, Utilization 3rd value, Packet delay 4th value, Packet Jitter 5th value
FIGURE 2. Heterogeneous Wireless Network in Assessment value
Figure 2 shows the graphical representation Discordance Micro Heterogeneous Wireless Network in Assessment value of the
Packet Loss 1st value, Allowed Bandwidth 2nd value, Utilization 3rd value, Packet delay 4th value, Packet Jitter 5th value.
Allowed
Bandwid
th
Utilizati
on
Packet
delay
Packet
Jitter
Packet
Loss
Assesment value
-0.0002340
-0.0064676
-0.0181278
-0.0338471
0.04552921
-0.04
-0.03
-0.02
-0.01
0
0.01
0.02
0.03
0.04
0.05
Axis Title
Assesment value

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TABLE 6. Heterogeneous Wireless Network in Assessment value
Rank
Allowed Bandwidth
2
Utilization
3
Packet delay
4
Packet Jitter
5
Packet Loss
1
Table 6 shows that Heterogeneous Wireless Network packet loss is got the first rank whereas is the packet jitter is having the
Lowest rank.
FIGURE 3. Shown the Rank
Figure 3 shows that Heterogeneous Wireless Network packet loss is got the first rank whereas is the packet jitter is having
the lowest rank.
5. Conclusion
Heterogeneous wireless networks A Simple Policy-Enforced Handoff System Provided, users have the best wireless
system at any time, the policies on what is trading Exchanges can be made between Network characteristics and cost,
performance and dynamics such as power consumption multi- Scale decision making system The MOORA method
demonstrates compatibility and ability to solve many Objective decision making problems in a real-time manufacturing
environment. The following six illustrative examples are considered. It is recommended to use the MOORA method, as
decision making in a production environment is very much from them It helps to select the appropriate option, out of many
candidate alternatives for a given problem Figure Six illustrative examples illustrate the effectiveness of this method There
Arein all cases, first alternatives are the same as those obtained by researchers in the past There are.Ratio Multi-Objective by
Analysis System (MOORA). Optimization Advanced nominal panel technique and Delphi 6 conditions are fulfilled with the
help of method. Additionally, MOORA Multi- Objective Optimization 2 satisfies the seventh condition to some extent using
different methods.Heterogeneous Wireless Network packet loss is got the first rank whereas is the packet jitter is having the
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