我正在尝试在matlab上实现无线传感器网络模拟器，我需要你的帮助。
这正是我想要做的事情：
使用两个条件对组长选举算法进行建模：
a）能量：生成与每个传感器相关的随机能量值，具有最大能量的传感器节点被选为领导者的概率更高。
b）邻近：主要由相邻节点包围的传感器节点被选中的概率较高。
因此，对于具有最大能量的随机节点，可以选择更多邻居作为领导者，并以其他颜色绘制其余节点。
我一直在研究这个问题，试图开发我的代码都无济于事。我对matlab编码不太满意，我还在学习。
拜托，伙计们，我需要任何帮助，我的截止日期迫在眉睫。
谢谢， 艾克
答案 0 :(得分：2)
首先，使用matlab构建无线网络模拟器到目前为止还不是最佳选择。最好使用专用的模拟器，如NS2或Omnet ++。但是，我已经开发了一个简单的m文件代码来随机部署正方形中的点，并尝试根据这些点之间的距离在这些点之间进行链接。这些点被假定为传感器节点。
尝试对其进行修改以获得所需内容。如果这个答案对你有用，请投票赞成：
W=0;X=0;Y=0;Z=0;
nodedistance = zeros();
maxx = 400; maxy=400; maxn = 50;
q = zeros(maxn);
e = rand(maxn,1)*100;
nodeloc = rand(maxn, 2)* maxx;
node(maxn) = struct('NodeNum',zeros(maxn),'nEnergy',zeros(maxn),'Loc',[zeros(maxn,1), zeros(maxn,2)]);
rss(maxn,maxn) = struct('NodeNumber',zeros(maxn),'NodeDistance',zeros(maxn));
for a = 1:100,
m = 2;
node = struct();
rss = struct();
nodedistance = zeros();
maxx = 400; maxy=400; maxn = 50;
q = zeros(maxn);
e = rand(maxn,1)*100;
nodeloc = rand(maxn, 2)* maxx;
for i = 1: maxn,
node(i)=struct('NodeNum',i,'nEnergy',e(i),'Loc',[nodeloc(i, 1), nodeloc(i, 2)]);
end
for i = 1:maxn,
for j = 1:maxn,
rss(i,j) = struct('NodeNumber',i,'NodeDistance',sqrt((node(i).Loc(1)- node(j).Loc(1))^2+(node(i).Loc(2)-node(j).Loc(2))^2));
end
end
for i = 1:maxn,
for j = 1:maxn,
nodedistance(i,j)=rss(i,j).NodeDistance;
end
end
for i = 1:maxn,
for j = 1:maxn,
if (node(i).nEnergy > 0) && (node (j).nEnergy > 0) && (0 < nodedistance(i,j) && nodedistance(i,j) <= 30)
if (node(i).nEnergy < node (j).nEnergy) %|| ( (node(i).nEnergy == node (j).nEnergy )&& (0 < nodedistance(i,j) && nodedistance(i,j)) < 30) %|| (0 < nodedistance(i,j) && nodedistance(i,j) <= 30)
q(i,j) = 1;
elseif node(i).nEnergy == node (j).nEnergy && 0 < nodedistance(i,j) && nodedistance(i,j) < 30
q(i,j) = 1;
else if 0 < nodedistance(i,j) && nodedistance(i,j) <= 30
q(i,j) = 1;
else
q(i,j) = 0;
end
end
end
end
end
end
for i = 1:maxn,
for j = 1:maxn,
if q(i,j) == 1
q(j,i) = 1;
end
end
end
colordef white,
figure(1);
axis equal
for i = 1:maxn,
hold on
box on;
plot(nodeloc(i, 1), nodeloc(i, 2), 'k.', 'MarkerSize', 5);
lscatter(nodeloc(i, 1),nodeloc(i, 2),i);
grid on;
end
gplot(q,nodeloc,'r-');
c = q;
b = 0; zeros(maxn);
check = 1;
while (check)
for m = 2:30
p = size(b)
b = zeros(maxn,maxn);
for i = 1:maxn,
for j = 1:maxn,
if i ~= j
if c(i,j) == 0
for k = 1:maxn,
if c(i,k) >0 && q(k,j) >0
b(i,j) = m;
break
else b(i,j) = 0;
end
end
end
end
end
end
f = size(b)
c = c + b;
if b ==0
check = 0;
else b = 0;% while loop here the condition.
m = m + 1;
end
end
k = 0;
for i = 1:maxn,
for j = 1:maxn,
k = k + c(i,j);
end
end
average_hop = k/(maxn*(maxn-1));
o = 0;
for i = 1:maxn,
for j = 1:maxn,
if c(i,j) ~= 0
o = o + 1;
end
end
end
c(~c) = nan;
r=max(max(c));
t=min(min(c));
clear
end
formatSpec1 = 'The number of hops from node %d to node %d is %d \n';
formatSpec2 = 'The average number of hops is %.4f, the maximum hop-count is %d, the minimum hop-count is %d \n';
formatSpec3 = 'The number of created paths is %d \n';
fileID = fopen('Paths11.txt','w');
fprintf(fileID,formatSpec1,i,j,c(i,j));
fprintf(fileID,formatSpec2,average_hop,r,t);
fprintf(fileID,formatSpec3,o);
clear;
X = X+average_hop;
Y = Y+r;
z = Z+t;
W = W+o;
end;
formatSpec1 = 'The number of hops from node %d to node %d is %d \n';
formatSpec2 = 'The average number of hops is %.4f, the average maximum hop-count is %.2f, the minimum hop-count is %d \n';
formatSpec3 = 'The average number of created paths is %.2f \n';
fileID = fopen('Energy-50-AODV.txt','w');
fprintf(fileID,formatSpec1,i,j,c(i,j));
fprintf(fileID,formatSpec2,X/a,Y/a,t);
fprintf(fileID,formatSpec3,W/a);
clear;
答案 1 :(得分：0)
这不是一个为你的作业做免费网站;你必须自己完成大部分工作。以下是我的提示：
wsn OR "sensor network" clustering matlab code site:edu