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en:iot-reloaded:iot_network_design_tools [2024/12/03 17:14] – pczekalskien:iot-reloaded:iot_network_design_tools [2025/05/13 10:43] (current) – pczekalski
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 ====== IoT Network Design Tools ====== ====== IoT Network Design Tools ======
-The design of a robust IoT (Internet of Things) network is fundamental to the success of any IoT project. A well-architected network ensures reliable communication between IoT devices, minimises latency, optimises power consumption, and enables efficient data transfer. However, building an IoT network is complex, requiring the integration of various technologies, protocols, and platforms. IoT network design tools assist in modelling, simulating, and managing the networks interconnecting the myriad IoT devices.+The design of a robust IoT network is fundamental to the success of any IoT project. A well-architected network ensures reliable communication between IoT devices, minimises latency, optimises power consumption, and enables efficient data transfer. However, building an IoT network is complex, requiring the integration of various technologies, protocols, and platforms. IoT network design tools assist in modelling, simulating, and managing the networks interconnecting the myriad IoT devices.
 This section explores the types of IoT network design tools, their features, and their use cases. A short list of tools is presented in the diagram {{ref>iontdtool1}}. This section explores the types of IoT network design tools, their features, and their use cases. A short list of tools is presented in the diagram {{ref>iontdtool1}}.
  
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 ==== Network Simulation Tools ==== ==== Network Simulation Tools ====
  
-Network simulation tools allow developers to create and test IoT networks virtually before deployment. These tools simulate the behaviour of devices, communication protocols, and network conditions, allowing for better planning, optimisation, and troubleshooting.+Before deployment, network simulation tools allow developers to create and test IoT networks virtually. These tools simulate the behaviour of devices, communication protocols, and network conditions, allowing for better planning, optimisation, and troubleshooting.
  
 **Common Tools**\\ **Common Tools**\\
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 **c. MQTT.fx**\\ **c. MQTT.fx**\\
-  * **Features:** This tool for MQTT protocol testing provides a client interface to monitor and interact with MQTT brokers.+  * **Features:** This tool for MQTT protocol testing provides a client interface for monitoring and interacting with MQTT brokers.
   * **Use Case**: Used for testing communication between IoT devices using the MQTT protocol.   * **Use Case**: Used for testing communication between IoT devices using the MQTT protocol.
   * **Key Benefits**: Allows testing and troubleshooting of MQTT-based communication, including message payload inspection.   * **Key Benefits**: Allows testing and troubleshooting of MQTT-based communication, including message payload inspection.
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   * **Key Benefits:** Enables the design and optimisation of networks with low power and high device density.   * **Key Benefits:** Enables the design and optimisation of networks with low power and high device density.
  
-==== 4. IoT Network Topology Design Tools ==== +==== IoT Network Topology Design Tools ====
- +
-<todo @godlove #gkuaban:2024-12-02>Please update the list according to the figure</todo>+
  
 Designing an efficient network topology is critical in IoT systems. These tools help create the architecture of an IoT network, determine how devices communicate with each other, and ensure data flows efficiently. Designing an efficient network topology is critical in IoT systems. These tools help create the architecture of an IoT network, determine how devices communicate with each other, and ensure data flows efficiently.
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 **a. UVexplorer** **a. UVexplorer**
  
-UVexplorer is a network discovery and visualization tool that simplifies the mapping and monitoring of network devices. For more details, see (( UVNetworks, The Automated Network Mapping Tool For Network Administrators, https://www.uvexplorer.com/)).+UVexplorer is a network discovery and visualisation tool that simplifies the mapping and monitoring of network devices. For more details, see (( UVNetworks, The Automated Network Mapping Tool For Network Administrators, https://www.uvexplorer.com/)).
  
 **Features Useful for IoT Networks** **Features Useful for IoT Networks**
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   * UVexplorer uses SNMP, ICMP, WMI, and other protocols to discover network devices.   * UVexplorer uses SNMP, ICMP, WMI, and other protocols to discover network devices.
-  * In an IoT network, it can identify connected devices such as sensors, gateways, and IoT hubs.+  * An IoT network can identify connected devices such as sensors, gateways, and IoT hubs.
  
 **2.Topology Mapping:** **2.Topology Mapping:**
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 **Possible use in IoT Network Design** **Possible use in IoT Network Design**
  
-  * Pre-Deployment: Helps in planning IoT devices' physical and logical layout by visualizing the network.+  * Pre-Deployment: Helps planning IoT devices' physical and logical layout by visualising the network.
   * Post-Deployment: Validates the network design by ensuring all devices are correctly configured and connected.   * Post-Deployment: Validates the network design by ensuring all devices are correctly configured and connected.
   * Scalability: Assists in scaling IoT networks by providing insights into device distribution and potential expansion areas.   * Scalability: Assists in scaling IoT networks by providing insights into device distribution and potential expansion areas.
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   * Sends real-time alerts for device downtime, threshold breaches, or abnormal behaviour.   * Sends real-time alerts for device downtime, threshold breaches, or abnormal behaviour.
-  * Essential for proactive IoT network management to minimize downtime.+  * Essential for proactive IoT network management to minimise downtime.
  
 **3. Performance Management:** **3. Performance Management:**
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   * It also helps identify underperforming devices or overloaded network segments.   * It also helps identify underperforming devices or overloaded network segments.
  
-  *3.  Custom Dashboards:+  *3. Custom Dashboards:
  
   * Allows the creation of dashboards tailored to specific IoT use cases, displaying critical metrics for the entire network.   * Allows the creation of dashboards tailored to specific IoT use cases, displaying critical metrics for the entire network.
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   * **Features:** Open-source performance testing tool that supports IoT network stress testing.   * **Features:** Open-source performance testing tool that supports IoT network stress testing.
-  * **Use Case:** Used to test the scalability and load-handling capabilities of IoT networks, including simulated device traffic.+  * **Use Case:** Used to test IoT networks' scalability and load-handling capabilities, including simulated device traffic.
   * **Key Benefits:** Detailed reporting, scalability, and extensibility.   * **Key Benefits:** Detailed reporting, scalability, and extensibility.
  
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 Designing efficient, reliable, and scalable IoT networks requires addressing challenges such as resource optimisation, communication reliability, scalability, energy efficiency, and security. Mathematical modelling is a powerful tool for tackling these challenges by providing a structured framework for analysing, simulating, and optimising IoT systems. Designing efficient, reliable, and scalable IoT networks requires addressing challenges such as resource optimisation, communication reliability, scalability, energy efficiency, and security. Mathematical modelling is a powerful tool for tackling these challenges by providing a structured framework for analysing, simulating, and optimising IoT systems.
  
-=== Key Applications of Mathematical Modeling in IoT Network Design ===+**Key Applications of Mathematical Modeling in IoT Network Design **
  
 **1. Network Topology Design**\\ **1. Network Topology Design**\\
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   * **Efficiency:** Optimising resource allocation reduces costs and improves performance.   * **Efficiency:** Optimising resource allocation reduces costs and improves performance.
   * **Scalability:** Models guide the design of networks that can handle growth without significant redesign.   * **Scalability:** Models guide the design of networks that can handle growth without significant redesign.
-  * **Customization:** Models can be tailored to specific applications, such as smart homes, healthcare, or industrial automation.+  * **Customisation:** Models can be tailored to specific applications, such as smart homes, healthcare, or industrial automation.
   * **Reliability:** Robust models ensure that networks maintain performance despite uncertainties or failures.   * **Reliability:** Robust models ensure that networks maintain performance despite uncertainties or failures.
  
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 ==== System Dynamics Modelling as a Tool for Designing Secure and Efficient IoT Systems, Applications, and Networks ==== ==== System Dynamics Modelling as a Tool for Designing Secure and Efficient IoT Systems, Applications, and Networks ====
  
-The Internet of Things (IoT) is a transformative technological paradigm still in its early stages of development. As IoT adoption continues to grow, there is an opportunity to design systems that are scalable, energy-efficient, cost-effective, interoperable, and secure by design while maintaining an acceptable level of Quality of Service (QoS). Achieving these objectives requires a holistic, system-centric approach that balances stakeholders' diverse and sometimes conflicting goals, including network operators, service providers, regulators, and end users.+The Internet of Things is a transformative technological paradigm still in its early stages of development. As IoT adoption continues to grow, there is an opportunity to design systems that are scalable, energy-efficient, cost-effective, interoperable, and secure by design while maintaining an acceptable level of Quality of Service (QoS). Achieving these objectives requires a holistic, system-centric approach that balances stakeholders' diverse and sometimes conflicting goals, including network operators, service providers, regulators, and end users.
  
  
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   - **Holistic Understanding:** Enables designers to view the IoT ecosystem as interconnected, capturing the interdependencies between devices, networks, users, and the environment.   - **Holistic Understanding:** Enables designers to view the IoT ecosystem as interconnected, capturing the interdependencies between devices, networks, users, and the environment.
-  Identification of Feedback Loops:** This helps understand how actions taken in one part of the system may influence others, leading to unintended consequences.+  - **Identification of Feedback Loops:** This helps understand how actions taken in one part of the system may influence others, leading to unintended consequences.
   - **Stakeholder Goal Alignment:** Balances the needs of different stakeholders by identifying trade-offs and synergies.   - **Stakeholder Goal Alignment:** Balances the needs of different stakeholders by identifying trade-offs and synergies.
   - **Improved Decision-Making:** Facilitates the exploration of alternative scenarios, enabling informed choices during the design, operation, and maintenance phases.   - **Improved Decision-Making:** Facilitates the exploration of alternative scenarios, enabling informed choices during the design, operation, and maintenance phases.
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 **3. Optimisation of Resource Utilisation:**\\ **3. Optimisation of Resource Utilisation:**\\
-By modelling IoT networks, SD can identify inefficiencies in energy consumption, bandwidth allocation, and computational resource usage, guiding cost and energy efficiency improvements.+SD can identify energy consumption, bandwidth allocation, and computational resource usage inefficiencies by modelling IoT networks and guiding cost and energy efficiency improvements.
  
 **4. Designing Secure IoT Systems:**\\ **4. Designing Secure IoT Systems:**\\
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 **1. Smart Agriculture (e.g., Rice Farming):**\\ **1. Smart Agriculture (e.g., Rice Farming):**\\
 As demonstrated in a study cited in ((M. G. S. Wicaksono, E. Suryani, and R. A. Hendrawan. Increasing productivity of rice plants As demonstrated in a study cited in ((M. G. S. Wicaksono, E. Suryani, and R. A. Hendrawan. Increasing productivity of rice plants
-based on iot (internet of things) to realize smart agriculture using system thinking approach.+based on iot (internet of things) to realise smart agriculture using a system thinking approach.
 Procedia Computer Science, 197:607–616, 2021.)), SD was used to develop causal loop diagrams to understand the interactions between environmental factors, IoT-enabled sensors, and farming outcomes. By identifying key leverage points, the researchers proposed IoT-based solutions to enhance rice productivity while minimising resource use. Procedia Computer Science, 197:607–616, 2021.)), SD was used to develop causal loop diagrams to understand the interactions between environmental factors, IoT-enabled sensors, and farming outcomes. By identifying key leverage points, the researchers proposed IoT-based solutions to enhance rice productivity while minimising resource use.
  
en/iot-reloaded/iot_network_design_tools.1733246094.txt.gz · Last modified: 2024/12/03 17:14 by pczekalski
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