To simulate the mesh network protocols using MATLAB, it requires containing to make a mesh network topology in which nodes perform as routers, relaying data for other nodes, and executing the protocols, which permit the network to self-organize and dynamically adjust to modifications. Some generally replicated mesh network protocols comprise of AODV (Ad-hoc On-Demand Distance Vector Routing), OLSR (Optimized Link State Routing), and Mesh Routing Protocols particularly described for wireless mesh networks.
We can follow the below steps to simulate mesh protocols using MATLAB:
Steps to Simulate Mesh Network Protocols in MATLAB
- Define Mesh Network Topology
- Describe a mesh network topology in which nodes can interact with adjacent nodes within a certain communication range. Every single node within a mesh network performs as both a host and a router.
Example of defining a mesh network:
numNodes = 10; % Number of nodes in the mesh network
networkArea = 100; % Define the size of the network area (100×100 meters)
nodePositions = rand(numNodes, 2) * networkArea; % Random positions of nodes
communicationRange = 30; % Define the communication range for each node
% Initialize adjacency matrix to represent communication between nodes
adjacencyMatrix = inf(numNodes);
for i = 1:numNodes
for j = i+1:numNodes
distance = norm(nodePositions(i,:) – nodePositions(j,:));
if distance <= communicationRange
adjacencyMatrix(i,j) = distance; % Set distance if nodes are within range
adjacencyMatrix(j,i) = distance;
end
end
end
- Implement AODV (Ad-hoc On-Demand Distance Vector) Protocol
AODV is a famous on-demand routing protocol within mesh networks. It finds routes only when required and uses a route request (RREQ) and route reply (RREP) mechanism.
- Route Request (RREQ) Broadcast
- Once a source node needs transmitting information however doesn’t understand the route to the destination then it transmits an RREQ packet to their neighbors.
Example of broadcasting a route request:
function [route, routingTable] = aodvRouteRequest(routingTable, srcNode, dstNode, adjacencyMatrix)
% Initialize route and broadcast queue
route = [];
queue = srcNode;
visited = zeros(1, length(routingTable));
% Breadth-first search (BFS) to discover route
while ~isempty(queue)
currentNode = queue(1);
queue(1) = []; % Dequeue the current node
visited(currentNode) = 1;
% Check if we have reached the destination
if currentNode == dstNode
route = reconstructRoute(routingTable, srcNode, dstNode);
return;
end
% Add neighbors to the queue
neighbors = find(adjacencyMatrix(currentNode,:) < inf);
for neighbor = neighbors
if ~visited(neighbor)
queue = [queue, neighbor];
routingTable{neighbor} = currentNode; % Track the parent node
end
end
end
end
- Route Reply (RREP)
- When the destination node obtains the RREQ then it transmits again a route reply (RREP) to the source node that founding a path.
Example of reconstructing the route:
function route = reconstructRoute(routingTable, srcNode, dstNode)
route = dstNode;
currentNode = dstNode;
while currentNode ~= srcNode
currentNode = routingTable{currentNode};
route = [currentNode, route]; % Add node to the route
end
end
- Implement OLSR (Optimized Link State Routing) Protocol
OLSR is a proactive routing protocol for mesh networks. Every single node periodically swaps link state data computing the optimal route to other nodes. OLSR utilizes a collection of Multipoint Relays (MPRs) to minimize the overhead by only permitting specific nodes to forward routing data.
- Link State Information Exchange
- Every single node transmits their link state information to adjacent nodes.
Example of link state update:
function linkStateTable = olsrLinkStateUpdate(linkStateTable, adjacencyMatrix, node)
% Update link state table with neighboring information
neighbors = find(adjacencyMatrix(node,:) < inf);
linkStateTable{node} = neighbors; % Update with direct neighbors
end
- Route Calculation Using Dijkstra’s Algorithm
- Nodes utilize the Dijkstra’s algorithm calculating the shortest path according to the link-state information is gathered from neighbouring nodes.
Example of calculating the shortest route:
function [dist, prev] = dijkstra(adjacencyMatrix, src)
numNodes = size(adjacencyMatrix, 1);
dist = inf(1, numNodes); % Initialize distances with infinity
prev = NaN(1, numNodes); % Previous node on the shortest path
dist(src) = 0;
Q = 1:numNodes; % Set of unvisited nodes
while ~isempty(Q)
[~, u] = min(dist(Q)); % Node with the smallest distance
u = Q(u);
Q(Q == u) = []; % Remove u from the unvisited set
% Update distances for neighbors
neighbors = find(adjacencyMatrix(u,:) < inf);
for v = neighbors
alt = dist(u) + adjacencyMatrix(u, v);
if alt < dist(v)
dist(v) = alt;
prev(v) = u;
end
end
end
end
% Example: Calculate shortest paths from node 1
srcNode = 1;
[dist, prev] = dijkstra(adjacencyMatrix, srcNode);
disp(‘Shortest distances from node 1:’);
disp(dist);
- Simulate Data Transmission Using Discovered Routes
- When a route has been determined through AODV or OLSR then we replicate the transmission of data along the route.
Example of simulating data transmission:
function transmitData(route)
if isempty(route)
disp(‘No valid route found.’);
else
disp([‘Data transmitted along the route: ‘, num2str(route)]);
end
end
% Example: Transmit data along the discovered route
srcNode = 1;
dstNode = 5;
[route, routingTable] = aodvRouteRequest(routingTable, srcNode, dstNode, adjacencyMatrix);
transmitData(route);
- Evaluate Mesh Protocol Performance
- Compute the performance of mesh protocols utilizing parameters such as route discovery time, number of hops, control overhead, packet delivery ratio, and route stability.
Example of calculating the average hop count:
function avgHopCount = calculateAvgHopCount(routes)
totalHops = 0;
for i = 1:length(routes)
totalHops = totalHops + length(routes{i}) – 1; % Count hops in each route
end
avgHopCount = totalHops / length(routes); % Average hop count
end
- Visualize the Mesh Network Topology
- Utilize the MATLAB’s plotting functions to envision the network topology, nodes, links, and discovered routes.
Example of visualizing the network:
figure;
hold on;
plot(nodePositions(:,1), nodePositions(:,2), ‘bo’, ‘MarkerSize’, 10); % Plot node positions
% Plot links between connected nodes
for i = 1:numNodes
for j = i+1:numNodes
if adjacencyMatrix(i,j) < inf
plot([nodePositions(i,1), nodePositions(j,1)], …
[nodePositions(i,2), nodePositions(j,2)], ‘k–‘);
end
end
end
% Highlight the selected route (example)
for i = 1:length(route)-1
plot([nodePositions(route(i),1), nodePositions(route(i+1),1)], …
[nodePositions(route(i),2), nodePositions(route(i+1),2)], ‘r-‘, ‘LineWidth’, 2);
end
title(‘Mesh Network Topology with Route’);
hold off;
Conclusion
To replicate the mesh network protocols within MATLAB:
- Describe the mesh network topology in which nodes interact depends on proximity.
- Execute the AODV or OLSR, relying on whether we require replicating a reactive or proactive routing protocol.
- Mimic route discovery utilizing RREQ and RREP for AODV or link-state updates for OLSR.
- Replicate data transmission along the discovered routes.
- Estimate the protocol performance using parameters such as hop count, control overhead, and route stability.
- Envision the network and the data transmission paths utilizing MATLAB’s plotting tools.
MATLAB tool enabled us to conduct a thorough simulation procedure of Mesh Protocols Projects, which was simulated and we have the capacity to expand its depth for additional clarity if required.
If you want top-notch simulation help for your Mesh Protocols projects using MATLAB, just shoot us an email with all your project details. We’ve got everything you need to provide the best support. We handle AODV (Ad-hoc On-Demand Distance Vector Routing), OLSR (Optimized Link State Routing), and other Mesh Routing Protocols tailored to your requirements. Reach out for a detailed explanation, and we’ll give you solid research guidance.
