在Matlab中，如何生成10个随机种子? [英] In Matlab, how do I generate 10 random seeds?

问题描述

下面的代码告诉我，我需要使用不同的种子来生成10次随机数，然后对它们进行平均以得到更平滑的图形.我没有使用Matlab的丰富经验，因此即使在阅读了文档之后，我也不了解这些种子的工作原理.

I have the code below that I was told I need to use different seeds to generate my random numbers 10 times and then average those in order to get a smoother graph. I don't have much experience in using Matlab so I don't know much about how these seeds work even after reading the documentation.

% Create an array
S = 0:20;
CW = 0:5:100;
S(1) = 0;
CW(1) = 0;

counter = 2;  % Counter for the nuber of S 
N = 20;  % Number of nodes

% Collect data for each increment of 5 up to 100 for CW values
for i = 5:5:100

    T = 10000 / i;  % Total number of cycles

    % Create array of next transmission times for N nodes
    transmission_time = floor(i * rng(1, N)); 
    total_success = 0;

    % Loop for T cycles
    for t = 1:T

        % For 0 to the number of contention windows
        for pos = 0:i-1

           % Count the number of nodes that have the current CW
            count = 0;
            for node = 1:N
               if transmission_time(node) == pos
                   count = count + 1;
               end
            end

            % If there is more than 1, then a collision occurs
            collision = false;
            if count > 1
                collision = true;
            % If there is exactly 1, then there is a success
            elseif count == 1
                total_success = total_success + 1;
            end 

            % If there is a collision, reassign new transmissions times
            if collision == true
                for node = 1:N
                    if node == pos
                        transmission_time(node) = floor(i * rand(1));
                    end
                end
            end
        end
    end

    % Display the ratio of successes
    S(counter) = total_success / (T * i);
    counter = counter + 1;
end

% Plot the graph for Success vs CW
plot(CW, S, 'o-');
xlabel('Contention Window, CW');
ylabel('Throughput, S');

推荐答案

对于所有混乱，我们深表歉意.我认为有些人说的对，因为我不需要生成不同的流.

Sorry for all the confusion. I think some of you were right by saying I didn't need to generate different streams.

在上面的代码中，有一行显示"if node == pos"，这是不正确的，应为"if transmission_time(node)== pos".

In the code above there is a line that says "if node == pos", this is incorrect and should be "if transmission_time(node) == pos".

那一行正是导致我的图表完全崩溃的原因.我还需要为成功的数据包生成新的随机数.

That one line was what was causing my graph to be all out of whack. I also needed to generate new random numbers for successful data packets as well.

谢谢您的所有建议！现在，我对Matlab中的种子如何使用随机性有了更多的了解！

Thanks for all your suggestions though! I know a lot more about how randomness works with seeds in Matlab now though!

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