Project Topics For Electronics And Telecommunication Engineering

Project Topics For Electronics And Telecommunication Engineering

In the field of telecommunication, several project topics and ideas are continuously emerging. Relevant to this field, we suggest numerous intriguing project plans, which offer a rigid framework for effective and significant research and also emphasize the major factors of the potential research gaps: 

  1. 5G-Based Smart Agriculture System

Project Outline:

  • Objective: For automating agricultural activities and actual-time tracking, a smart agriculture system has to be created with 5G mechanisms.
  • Major Aspects: Cloud-related data analytics environment, 5G interaction modules, and IoT sensors.

Potential Research Gaps:

  • Data Integration and Standardization: For combining a wide range of IoT devices and sensors in smart farming, the standardized protocols are insufficient, which result in a major problem related to interoperability.
  • Rural Network Coverage: The issues based on offering credible 5G coverage in remote and rural regions are mostly ignored by the previous studies. For the efficiency of smart farming, this aspect is considered as very important.
  • Real-Time Data Processing: In actual-time processing and examining of extensive data which are produced by IoT devices in farming, the existing frameworks face difficulties that affect the effectiveness of decision-making.

Possible Results:

  • For automation and actual-time tracking in agriculture with 5G, this study offers a model framework.
  • Based on 5G mechanism efficiency in rural network placements, it suggests an explicit analysis.
  • In order to normalize the incorporation of IoT sensors in farming, it provides suggestions.
  1. Visible Light Communication (VLC) for Indoor Positioning

Project Outline:

  • Objective: To improve navigation in extensive buildings, we consider more-accurate indoor positioning. For that, model and apply a VLC framework.
  • Major Aspects: Mobile applications, positioning methods, photodetectors, and LED light sources.

Potential Research Gaps:

  • Interference from Ambient Light: For reducing environmental light interference’s impact on VLC signals, previous research does not have efficient solutions.
  • Accuracy and Latency: Here we make indoor positioning frameworks equivalent to current mechanisms such as Wi-Fi and GPS by minimizing their latency and enhancing their preciseness.
  • System Integration: The realistic placement of VLC frameworks is constrained, due to the lack of focus on combining with previous lighting and communication framework.

Possible Results:

  • With minimized latency and enhanced preciseness, it suggests an efficient indoor positioning framework related to VLC.
  • To reduce environmental light intervention in VLC frameworks, this project offers robust approaches.
  • For combining VLC into previous frameworks, it provides explicit instructions.
  1. Blockchain-Based Secure Communication for IoT Networks

Project Outline:

  • Objective: In order to improve data confidentiality and safety in IoT networks, a secure interaction protocol must be created with blockchain mechanisms.
  • Major Aspects: Secure interaction protocols, blockchain architecture, and IoT devices.

Potential Research Gaps:

  • Scalability: While managing an extensive amount of transactions and a wide range of IoT devices, the existing blockchain deployments confront significant problems relevant to scalability.
  • Energy Efficiency: For placing blockchain in resource-limited IoT devices, various major obstacles exist, such as the high energy and computational needs of blockchain functionalities.
  • Interoperability: To combine blockchain-related security with various interaction protocols and IoT environments, the solutions are insufficient.

Possible Results:

  • Appropriate for IoT networks, this research offers a secure interaction protocol with blockchain technology.
  • For enhancing the energy effectiveness and adaptability of blockchain in IoT applications, it suggests efficient solutions.
  • Among different IoT settings and blockchain-related security frameworks, assuring interoperability is crucial. For that, it provides robust techniques.
  1. Development of an Adaptive Beamforming System for 5G MIMO Networks

Project Outline:

  • Objective: As a means to improve data throughput and signal standard in 5G MIMO networks, model and apply an adaptive beamforming framework.
  • Major Aspects: Simulation tools (like Simulink, MATLAB), adaptive beamforming methods, and MIMO antennas.

Potential Research Gaps:

  • Dynamic Channel Conditions: In the case of quickly evolving channel states in 5G networks, the current research is often lacking to solve the problems based on the adaptability of beamforming methods.
  • Computational Complexity: It is significant to make adaptive beamforming methods viable for actual-time applications. So, minimizing their computational intricacy is more essential.
  • Hardware Integration: One of the major issues in this study is combining existing hardware settings with the latest beamforming methods.

Possible Results:

  • In dynamic channel states, this study results in enhanced performance in 5G networks through the creation of an adaptive beamforming framework.
  • For actual-time beamforming, it offers methods that stabilize performance with computational effectiveness.
  • In order to combine beamforming methods with current MIMO hardware, it provides significant instructions.
  1. IoT-Based Environmental Monitoring System

Project Outline:

  • Objective: Focus on gathering and examining data based on water quality, air quality, and other ecological parameters. For actual-time ecological tracking, create an IoT-related framework.
  • Major Aspects: Data analytics environment, wireless interaction modules, and IoT sensors.

Potential Research Gaps:

  • Sensor Calibration and Accuracy: In ecological tracking, scaling and assuring the IoT sensors’ preciseness is important. For that, the standardized techniques are inadequate.
  • Data Integration and Analysis: To offer practicable perceptions, combining and examining extensive datasets from several origins is significant, but the previous frameworks face difficulties in it.
  • Energy Efficiency: In remote and complicated platforms, the requirement for energy-effective functioning of IoT sensors is not completely fulfilled in several existing solutions.

Possible Results:

  • Including actual-time data analytics, it offers a model of ecological tracking system with IoT.
  • For enhancing the preciseness and scaling of ecological IoT sensors, this project suggests approaches.
  • To implement IoT sensors in various ecological states, it provides energy-effective policies.
  1. Optimization of 5G Network Slicing for Industrial IoT

Project Outline:

  • Objective: To facilitate different Industrial IoT applications that are with particular needs for credibility, latency, and bandwidth, the network slicing approaches have to be applied and enhanced for 5G networks.
  • Major Aspects: Industrial IoT devices, slicing management software, and 5G core network.

Potential Research Gaps:

  • Dynamic Resource Allocation: To handle network slices in terms of actual-time necessities, effective and dynamic resource allocation methods are required.
  • Service Quality Isolation: Among various network slices, assuring rigid service quality isolation is examined as a major issue. To overcome this issue, further exploration is essential.
  • Deployment Scalability: To assist a wide range of industrial applications, the potential problems in adapting network slicing solutions are mostly ignored by the existing studies.

Possible Results:

  • Suitable for different Industrial IoT application areas, this study suggests a network slicing framework for 5G networks.
  • For dynamic resource allocation, it provides methods, which are capable of improving the 5G network slices’ performance.
  • As a means to adapt network slicing placements in industrial platforms, it offers robust policies.
  1. Simulation and Analysis of Quantum Communication Systems for Secure Data Transmission

Project Outline:

  • Objective: By considering quantum key distribution (QKD) and its combination with conventional communication networks, a quantum communication framework has to be created and simulated for safer data sharing.
  • Major Aspects: Network simulation tools, QKD protocols, and Quantum communication modules.

Potential Research Gaps:

  • Integration with Classical Networks: To combine quantum communication frameworks with previous conventional communication frameworks, realistic solutions are insufficient.
  • Distance Limitations: In expanding efficient range without compromising data safety and morality, the existing QKD frameworks confront major difficulties. .
  • Cost and Complexity: Scalability and realistic placement of quantum communication frameworks are constrained due to the extensive cost and intricacy of their implementation.

Possible Results:

  • Based on the combination of a quantum communication framework and conventional networks, it offers a practical model.
  • In order to expand the QKD frameworks’ range without compromising data morality and safety, this project suggests efficient approaches.
  • To minimize intricateness and cost in the placement of quantum computing frameworks, it provides robust solutions.
  1. Development of a 5G-Based Autonomous Vehicle Communication System

Project Outline:

  • Objective: Our major aim is to support vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) interaction. For self-driving vehicles, we model a communication framework with 5G mechanisms.
  • Major Aspects: Data processing methods, self-driving vehicle environments, and 5G interaction modules.

Potential Research Gaps:

  • Real-Time Data Processing: For self-driving vehicle interaction, the issues of processing extensive data in actual-time are not effectively solved by the existing studies.
  • Network Reliability: In high-speed and dynamic platforms, the major difficulty is to assure credible connection of 5G networks.
  • Security and Privacy: To secure the data that are shared among platforms and self-driving vehicles, efficient safety protocols are required.

Possible Results:

  • For self-driving vehicles, this study provides a model of communication framework with the mechanism of 5G.
  • To improve the performance of self-driving vehicle interaction, it suggests actual-time data processing approaches.
  • In self-driving vehicle networks, assuring data morality and confidentiality is important. For that, it offers efficient safety protocols.
  1. Wireless Sensor Network for Smart City Applications

Project Outline:

  • Objective: For various smart city applications like public safety, ecological tracking, and traffic handling, a wireless sensor network (WSN) must be created.
  • Major Aspects: Data handling environment, interaction protocols, and wireless sensors.

Potential Research Gaps:

  • Network Scalability: To include extensive urban regions without compromising credibility and performance, assuring the scalability of WSNs is challenging.
  • Data Integration: Among various smart city applications, assuring interoperability is difficult. In combining data from different sensors, the potential issues have to be solved.
  • Energy Efficiency: To extend the WSN’s functional durability, creation of energy-effective sensor models and interaction protocols is significant.

Possible Results:

  • For smart city applications, it proposes a wireless sensor network with extensive credibility and adaptability.
  • To combine and examine data from different sensors of a smart city, it suggests robust methods.
  • As a means to deploy and preserve WSNs in urban platforms, it provides energy-effective policies.
  1. Optimization of 5G mmWave Communication Systems

Project Outline:

  • Objective: In high-density regions, minimize latency and improve data rates by creating and enhancing a 5G millimeter wave (mmWave) interaction framework.
  • Major Aspects: Network simulation tools, interaction protocols, and mmWave antennas.

Potential Research Gaps:

  • Signal Propagation and Attenuation: To forecast and reduce the impacts of obstacle and signal attenuation in mmWave frameworks, current study does not have extensive models.
  • Interference Management: In wider platforms, improving the performance of mmWave interaction is important. For that, efficient interference handling approaches are required.
  • Hardware Integration: The significant difficulties are assuring compatibility and combining current hardware environments and the latest mmWave interaction frameworks.

Possible Results:

  • This research facilitates enhanced performance in wider urban regions through the model of a 5G mmWave interaction framework.
  • In mmWave frameworks, forecasting and reducing signal attenuation is crucial. To accomplish this, efficient models are suggested.
  • For the combination of mmWave interaction framework with current network framework, it offers robust solutions.

What should my final year project in the telecommunication field be about?

Telecommunication is an interesting as well as fast growing domain which enables data sharing in an efficient manner. By focusing on performance analysis in telecommunication, we list out a few extensive project plans, including the research problems, possible tools, and significant factors: 

  1. Performance Analysis of 5G Network Slicing for Different Use Cases

Project Description:

  • Goal: For various application areas like ultra-reliable low-latency communications (URLLC), enhanced mobile broadband (eMBB), and massive machine-type communications (mMTC), the performance of network slicing in 5G has to be examined.
  • Significant Factors: Network simulation tools (for instance: MATLAB, NS-3), slicing management software, and 5G core network.

Research Problems:

  • Resource Allocation: To align with various service needs among several slices, assuring effective resource allocation is crucial.
  • Service Isolation: In order to obstruct intervention among various network slices, consider the maintenance of rigid service isolation.
  • Scalability: In managing a higher number of services and devices, assess the adaptability of network slicing.

Procedures:

  • Literature Review: In terms of 5G network slicing and its uses, analyze previous studies.
  • System Design: For 5G, we model a network slicing framework with the aid of MATLAB.
  • Simulation: To simulate various application areas, apply the model in NS-3. Major performance metrics like credibility, throughput, and latency have to be assessed.
  • Data Analysis: For detecting significant performance aspects and enhancement policies, examine the outcomes obtained from simulation.
  1. Comparative Performance Analysis of Modulation Techniques in 5G Communication

Project Description:

  • Goal: In various channel constraints, compare different modulation approaches based on their performance in 5G communication. It could include PSK, OFDM, and QAM.
  • Significant Factors: Modulation approaches, 5G base station models, and simulation tools such as Simulink, MATLAB.

Research Problems:

  • Channel Modeling: Designing various channel constraints like multipath fading, noise, and interference in a precise manner is important.
  • Performance Metrics: Focus on assessing different metrics such as signal-to-noise ratio (SNR), spectral effectiveness, and bit error rate (BER).
  • Algorithm Complexity: With the performance gains of modulation techniques, stabilize their intricacy.

Procedures:

  • Literature Review: Considering various modulation approaches, we study their concepts and uses in 5G.
  • System Design: For different modulation approaches, create frameworks by utilizing MATLAB.
  • Simulation: In Simulink, the modulation techniques must be applied. Based on various channel constraints, simulate them.
  • Data Analysis: Focus on every modulation approach and compare its performance. The major implication among performance and intricateness should be examined.
  1. Performance Analysis of IoT Communication Protocols for Smart Cities

Project Description:

  • Goal: In a smart city platform, the performance of various IoT interaction protocols must be analyzed, including LoRaWAN, CoAP, and MQTT.
  • Significant Factors: Network simulation tools (for example: OMNeT++, NS-3), interaction protocols, and IoT devices.

Research Problems:

  • Protocol Efficiency: On the basis of power utilization, credibility, and speed of data sharing, the effectiveness of every protocol has to be evaluated.
  • Scalability: In managing the higher amount of IoT devices in a smart city, assess the scalability of protocol.
  • Data Integration: Among various protocols and devices, assuring data incorporation and interoperability is significant.

Procedures:

  • Literature Review: Concentrate on different IoT interaction protocols and explore their features and application areas.
  • System Design: For the modeling of smart city interaction networks with various protocols, we utilize NS3.
  • Simulation: In accordance with different contexts, the performance of every protocol must be simulated. Consider the assessment of significant metrics like energy usage, packet loss, and latency.
  • Data Analysis: For particular smart city applications, detect the highly appropriate protocol by examining the outcomes.
  1. Performance Analysis of MIMO-OFDM Systems in 5G Networks

Project Description:

  • Goal: In 5G networks, interpret the major implication on spectral effectiveness, system credibility, and data rates by examining the performance of MIMO-OFDM frameworks.
  • Significant Factors: MIMO antennas, network simulation tools (such as Simulink, MATLAB), and OFDM modulation.

Research Problems:

  • Signal Processing: For MIMO-OFDM frameworks, we plan to create signal processing methods in an effective manner.
  • Channel Estimation: The actual-time evaluation and adjustment to channel constraints in a precise way is more important.
  • System Complexity: In terms of the combination of OFDM and MIMO mechanisms, handling the higher system intricacy is crucial.

Procedures:

  • Literature Review: Based on MIMO-OFDM mechanism and its uses in 5G, investigate previous studies.
  • System Design: To model a MIMO-OFDM framework, employ MATLAB. Then, various configurations have to be simulated.
  • Simulation: In order to simulate the performance of this framework regarding different channel constraints, apply this framework in Simulink.
  • Data Analysis: For various MIMO arrangements, compare the major performance metrics like spectral effectiveness, data rate, and BER.
  1. Performance Analysis of Blockchain-Based Secure Communication Systems

Project Description:

  • Goal: According to various metrics like transaction throughput, latency, and data morality, the performance of blockchain-related secure interaction systems should be assessed.
  • Significant Factors: Simulation tools (for instance: Ethereum Testnet, MATLAB), secure interaction protocols, and blockchain architecture.

Research Problems:

  • Integration with Existing Systems: It is significant to assure that the blockchain architecture is combined with previous interaction networks in a stable manner.
  • Latency and Throughput: Along with the security gains of blockchain, the requirement for extensive throughput and less latency has to be stabilized.
  • Scalability: To manage the highest number of devices and transactions, the issues of adapting blockchain architectures must be solved.

Procedures:

  • Literature Review: Our project examines the use of blockchain mechanisms in safer interaction and its concepts.
  • System Design: Model a blockchain-related interaction system through the utilization of MATLAB.
  • Simulation: Employ Ethereum Testnet to apply the system. Various network constraints have to be simulated.
  • Data Analysis: In different contexts, the performance has to be assessed on the basis of metrics like transaction throughput, latency, and security.
  1. Performance Analysis of Wireless Sensor Networks for Environmental Monitoring

Project Description:

  • Goal: For ecological tracking applications, the performance of wireless sensor networks (WSNs) must be examined in terms of network reliability, energy effectiveness, and data preciseness.
  • Significant Factors: Network simulation tools (such as OMNeT++, NS-3), WSN protocols, and wireless sensors.

Research Problems:

  • Data Reliability: Specifically in critical ecological states, assuring credible sharing of data is important.
  • Energy Efficiency: To extend the network durability, energy-effective interaction protocols have to be created.
  • Scalability: In order to track extensive regions and several ecological parameters, assess the WSNs’ scalability.

Procedures:

  • Literature Review: Focus on WSNs and their uses in ecological tracking. Analyze relevant previous literature.
  • System Design: For ecological tracking, model a WSN with different interaction protocols and sensors by utilizing NS3.
  • Simulation: In various ecological states, simulate the network. Several important performance metrics like credibility, energy utilization, and data preciseness should be assessed.
  • Data Analysis: To propose enhancement policies and detect major performance aspects, evaluate the outcomes acquired from the simulation.
  1. Performance Analysis of Network Traffic in 5G Networks Using Machine Learning

Project Description:

  • Goal: Particularly for enhanced resource allocation and handling, examine and forecast network traffic trends in 5G networks through the utilization of machine learning methods.
  • Significant Factors: Simulation tools (for example: NS3, MATLAB), machine learning methods, and 5G network traffic data.

Research Problems:

  • Data Collection and Labeling: To train machine learning frameworks, gather and tag a wide range of datasets.
  • Algorithm Performance: In forecasting network traffic, the performance of various machine learning methods should be analyzed.
  • Real-Time Processing: For the actual-time processing and analysis of network traffic data, create frameworks.

Procedures:

  • Literature Review: In network traffic analysis and forecasting, the application of machine learning has to be analyzed.
  • Data Collection: For a 5G network, create and gather traffic data by employing network simulation tools such as NS3.
  • Algorithm Development: To forecast network traffic trends, create machine learning-based frameworks with the aid of MATLAB.
  • Simulation and Analysis: Various traffic settings have to be simulated. Based on resource usage, latency, and preciseness, we assess machine learning frameworks’ performance.
  1. Performance Analysis of LoRaWAN for IoT Applications

Project Description:

  • Goal: In facilitating IoT applications, the performance of LoRaWAN mechanism has to be examined. It is crucial to consider different metrics like energy utilization, data rate, and coverage.
  • Significant Factors: Network simulation tools (like MATLAB, NS3), IoT sensors, and LoRaWAN devices.

Research Problems:

  • Coverage and Range: On data rate and LoRaWAN signal coverage, the effect of ecological aspects and distance should be assessed.
  • Energy Consumption: In a wide range of placements, examine the LoRaWAN devices in terms of their energy effectiveness.
  • Data Transmission: In various contexts of IoT application, the effectiveness and credibility of data sharing must be evaluated.

Procedures:

  • Literature Review: Consider LoRaWAN and its utilizations in IoT platform and analyze current literatures.
  • System Design: For different IoT-based applications, model a LoRaWAN network with the support of NS3.
  • Simulation: In diverse ecological states, we aim to simulate the network. Then, major performance metrics like energy usage, data rate, and coverage must be assessed.
  • Data Analysis: To find significant performance aspects, examine the simulation outcomes. For LoRaWAN networks, our project proposes enhancement policies.
  1. Performance Analysis of Quantum Key Distribution (QKD) in Telecommunication Networks

Project Description:

  • Goal: By considering various metrics like security strength, error rate, and key generation rate, the performance of QKD frameworks in telecommunication networks should be examined.
  • Significant Factors: Quantum communication protocols, QKD devices, and simulation tools like Simulink, MATLAB.

Research Problems:

  • Key Generation Efficiency: Improve the throughput of QKD frameworks through enhancing the procedure of key generation.
  • Error Management: To enhance the quantum keys’ credibility and minimize faults, create efficient approaches.
  • Integration with Classical Networks: It is crucial to assure that the QKD is combined with previous telecommunication networks in an appropriate manner.

Procedures:

  • Literature Review: The Concepts of quantum communication have to be explored. In safer data sharing, analyze the uses of QKD.
  • System Design: Model a QKD framework by employing MATLAB. Then, various network arrangements must be simulated.
  • Simulation: To simulate the performance of the framework in different network states, the QKD framework has to be applied in Simulink.
  • Data Analysis: The major aspects which impact the safety and effectiveness of QKD frameworks should be detected by examining the performance metrics.
  1. Performance Analysis of Hybrid Optical-Wireless Communication Systems

Project Description:

  • Goal: On the basis of different metrics such as credibility, latency, and data rate, the performance of hybrid optical-wireless communication frameworks must be assessed.
  • Significant Factors: Network simulation tools (for instance: MATLAB, OptiSystem), wireless communication modules, and optical fibers.

Research Problems:

  • Signal Integration: In combining wireless and optical signals for stable data sharing, the potential issues have to be solved.
  • Latency and Throughput: Particularly in hybrid communication frameworks, the major implication among data throughput and latency should be stabilized.
  • System Scalability: To enable extensive data volumes and a wide range of users, assess the hybrid frameworks’ scalability.

Procedures:

  • Literature Review: Concentrate on hybrid optical-wireless communication frameworks and their uses. Examine the relevant previous studies.
  • System Design: To model a hybrid communication framework, our project utilizes MATLAB and OptiSystem.
  • Simulation: In the OptiSystem tool, apply the framework. To assess different performance metrics like credibility, latency, and data rate, simulate various arrangements.
  • Data Analysis: The significant aspects that impact the hybrid communication framework’s performance must be detected through evaluating the simulation outcomes.
Project Titles for Electronics and Telecommunication Engineering

Project Ideas for Electronics and Telecommunication Engineering

This page provides a comprehensive discussion on the most recent and groundbreaking Project Ideas for Electronics and Telecommunication Engineering. If you are seeking the best solution, feel free to reach out to us. We are dedicated to sharing trending topics that align with your interests. With a panel that has earned the trust of over 7000+ customers, you can confidently address your concerns with us.

  1. Telecommunications and WTO discipline. An assessment of the WTO agreement on telecommunication services
  2. The regulatory governance of the telecommunication and electricity industries in small, island nations
  3. Intersectoral point-to-point telecommunication flows: theoretical framework and empirical results
  4. Data mining source code for locating software bugs: A case study in telecommunication industry
  5. An integrated DEMATEL and Fuzzy ANP techniques for evaluation and selection of outsourcing provider for a telecommunication company
  6. Identification of defect-prone classes in telecommunication software systems using design metrics
  7. Lowering customer’s switching cost using B2B services for telecommunication companies
  8. Quarter-Sphere Support Vector Machine for Fraud Detection in Mobile Telecommunication Networks
  9. Design and control strategy for a hybrid green energy system for mobile telecommunication sites
  10. A comparative analysis of data preparation algorithms for customer churn prediction: A case study in the telecommunication industry
  11. Polarization-independent single-mode rib waveguides on silicon-on-insulator for telecommunication wavelengths
  12. An intelligent scheduling scheme for real-time traffic management using Cooperative Game Theory and AHP-TOPSIS methods for next generation telecommunication networks
  13. Basic reconfiguration options in multi-layer robust telecommunication networks — design and performance issues
  14. Heterogeneous system level co-simulation for the design of telecommunication systems
  15. Near-infrared emission from Pr-doped borophosphate glass for broadband telecommunication
  16. A dynamic programming algorithm for the local access telecommunication network expansion problem
  17. Regulation and Diffusion of Mobile Telecommunication Services: An Explorative Case Study Approach of Static and Dynamic Regulation in Mobile Telephony Regulation
  18. Organizational integration and the use of telecommunication technologies for internal links: an empirical investigation
  19. Distributed steady-state simulation of telecommunication networks with self-similar teletraffic
  20. Symmetric toggle switch—a new type of rf MEMS switch for telecommunication applications: Design and fabrication
Live Tasks
Technology Ph.D MS M.Tech
NS2 75 117 95
NS3 98 119 206
OMNET++ 103 95 87
OPNET 36 64 89
QULANET 30 76 60
MININET 71 62 74
MATLAB 96 185 180
LTESIM 38 32 16
COOJA SIMULATOR 35 67 28
CONTIKI OS 42 36 29
GNS3 35 89 14
NETSIM 35 11 21
EVE-NG 4 8 9
TRANS 9 5 4
PEERSIM 8 8 12
GLOMOSIM 6 10 6
RTOOL 13 15 8
KATHARA SHADOW 9 8 9
VNX and VNUML 8 7 8
WISTAR 9 9 8
CNET 6 8 4
ESCAPE 8 7 9
NETMIRAGE 7 11 7
BOSON NETSIM 6 8 9
VIRL 9 9 8
CISCO PACKET TRACER 7 7 10
SWAN 9 19 5
JAVASIM 40 68 69
SSFNET 7 9 8
TOSSIM 5 7 4
PSIM 7 8 6
PETRI NET 4 6 4
ONESIM 5 10 5
OPTISYSTEM 32 64 24
DIVERT 4 9 8
TINY OS 19 27 17
TRANS 7 8 6
OPENPANA 8 9 9
SECURE CRT 7 8 7
EXTENDSIM 6 7 5
CONSELF 7 19 6
ARENA 5 12 9
VENSIM 8 10 7
MARIONNET 5 7 9
NETKIT 6 8 7
GEOIP 9 17 8
REAL 7 5 5
NEST 5 10 9
PTOLEMY 7 8 4

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