To simulate XY Routing in MATLAB, we can generate a model of a 2D grid network, in which packets are transmitted according to their X and Y coordinates in the grid. XY routing, usually utilized in network-on-chip (NoC) and mesh networks, is a deterministic routing techniques in which the packets first move along the X-axis until reaching the appropriate X-coordinate, and then transmit along the Y-axis to extent the destination. These techniques make sure simple and deadlock-free routing.
Here’s a brief approach to configuring an XY routing simulation in MATLAB.
Steps to Simulate XY Routing in MATLAB
- Define Grid Network Topology:
- Describe the amount of rows and columns in a 2D grid network.
- Each node is characterized by its coordinates (X, Y) in the grid.
- Initialize XY Routing Rules:
- For each packet, initiate route along the X-axis until the X-coordinate of the destination is reached.
- At that time, route along the Y-axis until the packet extents the appropriate Y-coordinate.
- Simulate Packet Forwarding Using XY Routing:
- For each packet, estimate the path according to its starting and ending coordinates.
- Monitor the path taken by all packets and log the nodes visited.
- Visualize and Analyse Results:
- Design the grid network topology and focus the path taken by each packet.
- Monitor the parameters such as hop count and path length to measure routing effectiveness.
Example Code Outline
Here’s an instance MATLAB code describes to replicate XY routing in a 2D grid network.
% Define grid dimensions
numRows = 4; % Number of rows in the grid
numCols = 4; % Number of columns in the grid
% Calculate total number of nodes
numNodes = numRows * numCols;
% Create grid coordinates for each node
[xGrid, yGrid] = meshgrid(1:numCols, 1:numRows);
nodeCoordinates = [xGrid(:), yGrid(:)]; % Each row is [X, Y] for a node
% Display node coordinates
disp(‘Node Coordinates:’);
disp(array2table(nodeCoordinates, ‘VariableNames’, {‘X’, ‘Y’}));
% Function to calculate the XY routing path from source to destination
function path = xyRouting(srcCoord, destCoord)
path = srcCoord; % Start at source
current = srcCoord;
% Move along X-axis
while current(1) ~= destCoord(1)
if current(1) < destCoord(1)
current(1) = current(1) + 1;
else
current(1) = current(1) – 1;
end
path = [path; current];
end
% Move along Y-axis
while current(2) ~= destCoord(2)
if current(2) < destCoord(2)
current(2) = current(2) + 1;
else
current(2) = current(2) – 1;
end
path = [path; current];
end
end
% Test XY routing from a source node to a destination node
srcNode = [1, 1]; % Start at top-left corner (node 1)
destNode = [4, 3]; % Example destination node coordinates
% Calculate the routing path
disp(‘— XY Routing Path —‘);
path = xyRouting(srcNode, destNode);
disp(array2table(path, ‘VariableNames’, {‘X’, ‘Y’}));
% Visualize the grid network and routing path
figure;
hold on;
plot(xGrid, yGrid, ‘k.’, ‘MarkerSize’, 15); % Plot grid nodes
text(xGrid(:), yGrid(:), string(1:numNodes), ‘VerticalAlignment’, ‘bottom’, ‘HorizontalAlignment’, ‘right’);
% Plot the routing path
plot(path(:,1), path(:,2), ‘-o’, ‘MarkerFaceColor’, ‘b’, ‘LineWidth’, 1.5);
title(‘XY Routing in 2D Grid Network’);
xlabel(‘X Coordinate’);
ylabel(‘Y Coordinate’);
grid on;
axis([0, numCols + 1, 0, numRows + 1]);
set(gca, ‘YDir’, ‘reverse’); % Match coordinate display with grid layout
hold off;
Explanation of the Code
- Grid Network Topology: The xGrid and yGrid arrays describe the X and Y coordinates for each node in the grid network.
- XY Routing Path Calculation: The xyRouting function estimate the path from the origin to the destination according to XY routing rules:
- Initially, it transmits along the X-axis until reaching the target X-coordinate.
- Then, it transmits along the Y-axis until reaching the target Y-coordinate.
- Packet Forwarding: By calling xyRouting, we acquire the sequence of coordinates (nodes) which the packet will follow from origin to destination.
- Grid Visualization: The network topology and routing path are showed on a 2D plot, in which the nodes and path taken are envisioned.
Visualization and Analysis
To evaluate and envision XY routing:
- Network Visualization: The grid topology is envisioned with nodes labelled by coordinates or node numbers. The XY routing path is designed to demonstrate the sequence of nodes visited.
- Path Metrics: Estimate and display parameters such as hop count (number of steps) and total path length to measure routing efficiency.
Extending the Simulation
For a more comprehensive XY routing replication:
- Multiple Packet Flows: Validate XY routing among multiple source-destination pairs to learn on how routing paths change via the grid.
- Link Failures: Replicate link failures or blocked paths by eliminating particular connections, then monitor on how XY routing requires to be modified for complication avoidance.
- Multi-Hop Communication: Evaluate cumulative hop counts and delay via diverse source-destination pairs to measure overall network efficiency.
This manual entirely provides the step-by-step approach to setup the basic network simulation and helps to implement the XY Routing projects in the MATLAB simulation tool. We can also provide the additional details about its XY Routing projects, if needed.
Our team excels in XY routing, so feel free to reach out for top-notch project guidance. We’re ready to assist you with simulation support and can recommend project topics that fit your requirements. If you have any questions about your XY Routing Projects using MATLAB, just drop us an email at phdprime.com! Our help team will respond promptly.
