加载"lab1data.txt".里面是50个节点的位置信息,用matlab写一个gossiping协议,每个节点随机向邻居4个节点发送数据包,计算sink节点到达所有节点的跳数和数据包
时间: 2024-05-09 10:19:04 浏览: 201
传输次数。
首先,读取节点位置信息和邻接矩阵:
```
data = load('lab1data.txt');
nodes = size(data, 1);
adj = zeros(nodes, nodes);
for i = 1:nodes
for j = 1:nodes
if i ~= j && norm(data(i,:) - data(j,:)) <= 0.2
adj(i,j) = 1;
end
end
end
```
然后,实现gossiping协议:
```
sink = randi(nodes); % 选择一个随机的sink节点
hop_count = zeros(1, nodes); % 记录每个节点到达sink节点的跳数
data_sent = zeros(1, nodes); % 记录每个节点发送的数据包数量
for i = 1:nodes
if i ~= sink
neighbors = find(adj(i,:)); % 找到邻居节点
for j = 1:4 % 随机选择4个邻居节点发送数据包
if ~isempty(neighbors)
k = randi(length(neighbors));
neighbor = neighbors(k);
neighbors(k) = [];
hop_count(i) = max(hop_count(i), hop_count(neighbor) + 1);
data_sent(i) = data_sent(i) + 1;
end
end
end
end
```
最后,输出结果:
```
fprintf('Sink node: %d\n', sink);
fprintf('Max hop count: %d\n', max(hop_count));
fprintf('Total data sent: %d\n', sum(data_sent));
```
完整代码如下:
```
data = load('lab1data.txt');
nodes = size(data, 1);
adj = zeros(nodes, nodes);
for i = 1:nodes
for j = 1:nodes
if i ~= j && norm(data(i,:) - data(j,:)) <= 0.2
adj(i,j) = 1;
end
end
end
sink = randi(nodes);
hop_count = zeros(1, nodes);
data_sent = zeros(1, nodes);
for i = 1:nodes
if i ~= sink
neighbors = find(adj(i,:));
for j = 1:4
if ~isempty(neighbors)
k = randi(length(neighbors));
neighbor = neighbors(k);
neighbors(k) = [];
hop_count(i) = max(hop_count(i), hop_count(neighbor) + 1);
data_sent(i) = data_sent(i) + 1;
end
end
end
end
fprintf('Sink node: %d\n', sink);
fprintf('Max hop count: %d\n', max(hop_count));
fprintf('Total data sent: %d\n', sum(data_sent));
```
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