To simulate circular topology or ring topology in MATLAB has their nodes are associated in a circular set up in which each node has accurately two neighbours. Data flows in one or both guidelines create a closed loop. This topology is usually utilized in networks in which each node must communicate data to extent others, and it offers a simple, decentralized structure.
Here’s how to simulate a circular topology with MATLAB.
Steps to Simulate a Circular Topology
- Define the Node Arrangement:
- Organize nodes in a circular manner in which each node is associated to its two neighbors.
- Select a unidirectional or bidirectional data flow for the replication.
- Simulate Data Transmission:
- Select a node to begins data transmission and broadcast the data in a selected direction.
- Every node gets information’s from its previous neighbour, executes it, and sends it to the next node.
- Implement Transmission Delay:
- Estimate a transmission delay according to the distance among nodes or a predefined key metrics.
- Visualize Data Flow and Performance Metrics:
- Measure the parameters such as successful transmissions, delay, and packet loss.
- Utilize MATLAB plots to envision data movement via the circular topology.
Example Code for Simulating a Circular Topology
In this instance, data flows in a single navigation are around the circular network, initiates from one node and travel via each successive node while waiting for it returns to the initiate.
% Parameters for Circular Topology Simulation
numNodes = 6; % Number of nodes in the circular topology
simulationTime = 30; % Duration of the simulation in seconds
dataRate = 1000; % Data rate in bits per second
packetSize = 100; % Packet size in bits
distanceBetweenNodes = 50; % Distance between neighboring nodes in meters
propagationSpeed = 2e8; % Propagation speed in meters per second
transmissionProbability = 0.5; % Probability of initiating a transmission at each node per time step
% Calculate propagation delay based on distance
propagationDelay = distanceBetweenNodes / propagationSpeed;
% Initialize Transmission Log and Delays
transmissions = zeros(numNodes, simulationTime); % Track transmissions per node
delays = zeros(numNodes, simulationTime); % Track delay per transmission
% Simulate Data Transmission Around the Circle
for t = 1:simulationTime
% Randomly select a node to initiate transmission
if rand() < transmissionProbability
startNode = randi(numNodes); % Select a random node to start transmission
transmissions(startNode, t) = 1; % Log the transmission
disp([‘Time ‘ num2str(t) ‘s: Node ‘ num2str(startNode) ‘ initiated transmission.’]);
% Propagate data around the circle in one direction
currentNode = startNode;
for step = 1:numNodes-1
% Determine the next node in the circular topology
nextNode = mod(currentNode, numNodes) + 1;
transmissions(nextNode, t + step) = 1; % Log transmission at the next time step
delays(nextNode, t + step) = propagationDelay; % Add delay for each hop
disp([‘Time ‘ num2str(t + step) ‘s: Node ‘ num2str(nextNode) ‘ received and forwarded data.’]);
currentNode = nextNode;
end
end
end
% Visualize Transmission Activity Across Nodes in the Circular Topology
time = 1:simulationTime;
% Plot Transmission Activity for Each Node
figure;
for node = 1:numNodes
subplot(numNodes, 1, node);
stem(time, transmissions(node, :), ‘filled’, ‘DisplayName’, [‘Node ‘ num2str(node)]);
title([‘Transmission Activity for Node ‘ num2str(node)]);
xlabel(‘Time (s)’);
ylabel(‘Transmission (1 = Yes, 0 = No)’);
end
% Overview of Delays Across All Nodes in the Circle
figure;
imagesc(delays);
colorbar;
title(‘Propagation Delay in Circular Topology’);
xlabel(‘Time (s)’);
ylabel(‘Node ID’);
yticks(1:numNodes);
yticklabels(arrayfun(@(x) [‘Node ‘ num2str(x)], 1:numNodes, ‘UniformOutput’, false));
Explanation of the Code
- Parameters:
- numNodes requires the amount of nodes in the circular topology.
- distanceBetweenNodes and propagationSpeed are utilized to estimate the propagation delay for each transmission among neighboring nodes.
- Transmission Simulation:
- At each time step, there is a gamble (transmissionProbability) which arbitrarily prioritize the node will begins a transmission.
- The data is broadcasted from the beginning node all over the place of the circle in a single navigation, with each node getting and transmit data to the next node in sequence.
- Propagation Delay Tracking:
- The latency matrix logs the delay for every transmission among nodes, according to the propagation delay for each hop.
- Visualization:
- The initial set of plots demonstrates each node’s transmission activity through time.
- The second plot is a heatmap demonstrates propagation delays, delivers a summary of the latency distribution in the circular topology.
Analysis and Extension Ideas
- Bidirectional Data Flow: Adjust the code to enable bidirectional communication, in which the data can flow clockwise and counterclockwise.
- Packet Loss Simulation: Establish random packet loss to replicate network reliability concerns.
- Varying Transmission Delays: Set numerous distances among nodes or incorporate the variable latency for a more realistic replication.
- Node Failure Simulation: Arbitrarily put out of action nodes to replicate network robustness and discover another routing.
- Latency and Jitter Analysis: Incorporate random deviations in latency to evaluate jitter and its effects on data transmission.
In conclusion, we have exhibited the valuable understandings for you to know and empathizes the approaches and its simulation about the circular topology in the simulation using MATLAB simulator tool.it usually helps you to transmit the information. Additional information will be provided in further manual.
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