Finished lab_2

lab_2/lab_2.asv

@@ -4,25 +4,34 @@ access_probability = 0:0.01:1;
 
 access_probability_length = length(access_probability);
 
-sender_rands = zeros(number_of_senders);
-%       | slot1 | slot
-% prob1 |
+sender_access = zeros(number_of_senders);
+
+%       | slot1 | slot2 | ...
+% prob1 |       |       | ...
+% prob2 |       |       | ... 
+%  ...  |  ...  |  ...  | ...
 result = zeros(access_probability_length, number_of_timeslots);
 
 % simulate all time slots on each probability
 for probability_idx = 1 : access_probability_length
     
-    current_result = zeros(access_probability_length);
+    current_result = zeros(1, number_of_timeslots);
     probability = access_probability(probability_idx);
 
-    for i = 1 : number_of_timeslots
-        % generate random sender accesses
-        for j = 1 : number_of_senders
-            sender_rands(j) = rand();
+    for time_slot = 1 : number_of_timeslots
+        % generate random sender accesses by probability
+        sender_access = zeros(1, number_of_senders);
+        for sender = 1 : number_of_senders
+            if rand() < access_probability(probability_idx)
+                sender_access(1, sender) = 1;
+            end
         end
     
-        
+        current_result(1, time_slot) = sum(sender_access(1, :)) == 1;
     end
 
     result(probability_idx, :) = current_result;
-end
+end
+
+disp(result(floor(access_probability_length / 2), 1:100))
+plot(result);