How to Simulate Logical Topology Projects Using MATLAB

To simulate the Logical Topology in MATLAB has needs to signify the flow of data inside a network, nevertheless of the physical organisation of nodes. For instance, nodes can be physically associated in a star topology however it logically interacts in a ring or bus pattern. To replicate a logical topology in MATLAB that contains to describe how nodes interact according to the logical structure instead of their physical arrangement.

Here is an approach on how to simulate the Logical Topology in MATLAB.

Steps to Simulate a Logical Topology in MATLAB

  1. Define the Logical Topology Structure
    • Select a logical topology type such as ring, bus, or star.
    • Require on how data flows among nodes according to this logical structure.
  2. Simulate Data Transmission
    • Execute data transmission permitting to the logical topology. For instance, in a ring, each node interacts only with its adjacent nodes in a circular purpose.
  3. Visualize the Logical Connections
    • Generate the logical connections among nodes to denote the prioritized logical topology.
  4. Evaluate Performance Metrics
    • Evaluate the parameters like data throughput, delay, and packet success rates.

Example MATLAB Code for Simulating a Logical Ring Topology

In this instance, we will replicate a Ring Logical Topology with nodes physically organized in a grid. Each node understandably relies with its two adjacent nodes in a circular method.

% Parameters

numNodes = 8;                     % Number of nodes

ringRadius = 10;                  % Radius for logical ring visualization

physicalGridSize = ceil(sqrt(numNodes)); % Arrange nodes in a grid for physical layout

transmissionDelay = 0.5;          % Delay per transmission (in seconds)

dataPackets = randi([10, 50], 1, numNodes); % Data packets each node sends to the next in the ring

% Physical positions for each node (in a grid layout)

[x, y] = meshgrid(1:physicalGridSize, 1:physicalGridSize);

x = x(1:numNodes) * 10; % Scale grid

y = y(1:numNodes) * 10; % Scale grid

physicalPositions = [x(:), y(:)];

% Logical positions for the ring

theta = linspace(0, 2*pi, numNodes+1);

theta(end) = [];

logicalPositions = [ringRadius * cos(theta)’, ringRadius * sin(theta)’];

% Plot Physical Topology

figure;

subplot(1,2,1); % Subplot for physical layout

hold on;

for i = 1:numNodes

plot(physicalPositions(i,1), physicalPositions(i,2), ‘bo’, ‘MarkerSize’, 8, ‘DisplayName’, [‘Node ‘, num2str(i)]);

end

title(‘Physical Grid Layout’);

xlabel(‘X Position’);

ylabel(‘Y Position’);

grid on;

axis equal;

hold off;

% Plot Logical Ring Topology

subplot(1,2,2); % Subplot for logical layout

hold on;

for i = 1:numNodes

% Plot nodes in logical ring positions

plot(logicalPositions(i,1), logicalPositions(i,2), ‘bo’, ‘MarkerSize’, 8, ‘DisplayName’, [‘Node ‘, num2str(i)]);

% Connect each node to the next in a ring structure

nextNode = mod(i, numNodes) + 1;

plot([logicalPositions(i,1), logicalPositions(nextNode,1)], [logicalPositions(i,2), logicalPositions(nextNode,2)], ‘k–‘);

end

title(‘Logical Ring Topology’);

xlabel(‘X Position’);

ylabel(‘Y Position’);

grid on;

axis equal;

hold off;

% Step 1: Simulate Data Transmission in the Logical Ring

disp(‘Logical Ring Data Transmission Simulation:’);

for i = 1:numNodes

nextNode = mod(i, numNodes) + 1; % Determine next node in the ring

fprintf(‘Node %d sends %d packets to Node %d…\n’, i, dataPackets(i), nextNode);

pause(transmissionDelay); % Simulate delay

fprintf(‘Node %d received data from Node %d\n’, nextNode, i);

end

% Display Network Metrics (Example: Total Data Transmitted)

totalDataTransmitted = sum(dataPackets);

disp([‘Total data transmitted in the logical ring: ‘, num2str(totalDataTransmitted), ‘ packets’]);

Explanation of Code

  1. Physical and Logical Positioning:
    • Nodes are organized in a physical grid for layout determinations.
    • For the logical topology, nodes are placed in a circular organization to denote a ring.
  2. Logical Ring Visualization:
    • Every node is associated to its adjacent nodes in the logical ring structure that generates a circular movement of information.
  3. Data Transmission Simulation:
    • Every node transmits information to the next node in the logical ring, and latency is established to replicate transmission time.
    • The amount data routed in the logical ring is illustrated as parameters.

Extensions and Variations

  1. Simulate a Logical Bus Topology:
    • Adjust the script so which all nodes interact with each other node in a consecutive broadcast manner that replicates a logical bus.
  2. Multiple Logical Topologies:
    • Execute diverse logical topologies, like mesh or tree, on the same physical layout and relate performance.
  3. Packet Loss and Delay Variability:
    • Incorporate random packet loss and variable latency to measure reliability in diverse conditions.
  4. Measure Additional Metrics:
    • Measure throughput, delay, and packet success rates to measure the effectiveness of diverse logical topologies.

Visualization of Data Transmission Metrics

To envision the data packets each node sends, that can utilize a bar plot.

% Plot the number of packets each node transmits

figure;

bar(1:numNodes, dataPackets);

title(‘Data Packets Transmitted by Each Node in the Logical Ring’);

xlabel(‘Node Index’);

ylabel(‘Packets Transmitted’);

grid on;

Advanced Simulation Scenarios

  1. Dynamic Logical Topology Changes:
    • To replicate variation in the logical topology, like switching from a ring to a mesh or bus topology, to evaluate resilience.
  2. Multi-Hop Communication:
    • Enable nodes to communicate data over multiple hops to extent non-adjacent nodes that replicate a multi-hop logical topology.
  3. Fault Tolerance Testing:
    • Replicate node or link miscarriages in the logical topology and evaluate the effects on data flow and network flexibility.

From this procedure, you can get to know more about the simulation process regarding the Logical Topology projects using MATLAB including sample snippet codes. We have to evaluate its performance to enhance the performance. If you need any details about this topic, we will provide it.

Star topology is managed by our developers. We conduct Logical Topology Projects utilizing the MATLAB tool. To receive innovative services from our team, please send phdprime.com  a message detailing your requirements, and our support team will provide you with a prompt solution.

Opening Time

9:00am

Lunch Time

12:30pm

Break Time

4:00pm

Closing Time

6:30pm

  • award1
  • award2