import mlreportgen.dom.*;

% run a bunch of simulations - 30 simulations, 60 seconds each, different
% STs, 10-100 km links, CBR 1460B packets
% linkLens = [10, 20, 30, 40, 50, 60, 70, 80, 90, 100]; % in kms!
% for i=1:30
%     % 24.5.20 - with packets aggregation !!!
%     simulateDifferentSTsInDataRate(0.1, pktPolicy.CBR, linkLens);
%     simulateDifferentSTsInDataRate(0.5, pktPolicy.CBR, linkLens);
%     simulateDifferentSTsInDataRate(1, pktPolicy.CBR, linkLens);
%     simulateDifferentSTsInDataRate(1.5, pktPolicy.CBR, linkLens);
%     simulateDifferentSTsInDataRate(2, pktPolicy.CBR, linkLens);
% %     simulateDifferentSTsInDataRate(3, pktPolicy.CBR, linkLens);
% %     simulateDifferentSTsInDataRate(4, pktPolicy.CBR, linkLens);
% end

% % now random sized packets VS the mean packet size:
% for i=1:30
%     simulateDifferentSTsInDataRate(1, pktPolicy.RAND, linkLens);

%     simulateDifferentSTsInDataRate(2, pktPolicy.RAND, linkLens);
% end
% 
% % the "limit" distances 100m to 10km (15 values total):
% linkLens = [0.1, 0.5, 1, 1.35, 1.5, 2, 2.5, 3, 4, 5, 6, 7, 8, 9, 10];
% for i=1:22
%     simulateDifferentSTsInDataRate(0.5, pktPolicy.CBR, linkLens);
%     simulateDifferentSTsInDataRate(1, pktPolicy.CBR, linkLens);
%     simulateDifferentSTsInDataRate(2, pktPolicy.CBR, linkLens);
% end
% 
% % now random sized packets VS the mean packet size:
% for i=1:22
%     simulateDifferentSTsInDataRate(0.5, pktPolicy.RAND, linkLens);
%     simulateDifferentSTsInDataRate(1, pktPolicy.RAND, linkLens);
%     simulateDifferentSTsInDataRate(2, pktPolicy.RAND, linkLens);
% end



% % now change "pktLen" in "getPacketLength" function to 1050 (mean) and 
% % also change in line 38 in simulateDifferentSTsBunchInDataRate 1460 to 1050 
% % and then run:
% linkLens = [10, 20, 30, 40, 50, 60, 70, 80, 90, 100]; % in kms!
% for i=1:30
%     simulateDifferentSTsInDataRate(1, pktPolicy.CBR, linkLens);
%     simulateDifferentSTsInDataRate(3, pktPolicy.CBR, linkLens);
% end

% % packet aggregation experiment:
% % 1km-3km:
% linkLens = [1, 2, 3, 4]; % in kms!
% simulateMultOfStandardST(1, pktPolicy.CBR, linkLens, 1); % last parameter is STFactor
% % now 10km-30km, cahnge SIFS
% linkLens = [10, 20, 30, 40]; % in kms!
% simulateMultOfStandardST(1, pktPolicy.CBR, linkLens, 10);


% different aggregation factors experiments, in 100km:
aggFactors = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 20, 30];
for i=1:30
    simulateDifferentAggregationFactors(1, pktPolicy.CBR, aggFactors, 100);
    simulateDifferentAggregationFactors(1.5, pktPolicy.CBR, aggFactors, 100);
    simulateDifferentAggregationFactors(2, pktPolicy.CBR, aggFactors, 100);
end
% and in 50km:
for i=1:30
    simulateDifferentAggregationFactors(1, pktPolicy.CBR, aggFactors, 50);
    simulateDifferentAggregationFactors(1.5, pktPolicy.CBR, aggFactors, 50);
    simulateDifferentAggregationFactors(2, pktPolicy.CBR, aggFactors, 50);
end