%%%%%%%%%%%%%%%%%%%%%%%%
% Evaluating the signal map
%%%%%%%%%%%%%%%%%%%%%%%%

%%% Sample traces
importTrace('Energy_Data/file100.lvm')
power=data;
file_100=moving(power,10);
file_100_avg_rate= mean([102062,81912,87516,88867,82697]);

importTrace('Energy_Data/file80.lvm')
power=data;
file_80=moving(power,10);
file_80_avg_rate= mean([93051,95634,103449,114352,89171]);
%%%

figure(1);

ax1 = subplot(2,1,1);
plot(ax1,file_100(1:92000));

title('RSS -100 dBm')
xlabel('time [ms]') % x-axis label
ylabel('Power [Watt]') % y-axis label

ax2 = subplot(2,1,2);
plot(ax2,file_80(1:90000));

title('RSS -80 dBm')
xlabel('time [ms]') % x-axis label
ylabel('Power [Watt]') % y-axis label

figure(2);

% mean download rate
p1_download = mean( [517,690,438,1893,1528]);
p1_rss = -99;
p2_download = mean( [98,541,527,687,39] );
p2_rss = -75;

p_names = ['-75','-80','-99','-100'];

bar([p2_download, file_80_avg_rate, p1_download, file_100_avg_rate]);

xlabel('Signal strength [dBm]');
ylabel('Data rate [Bps]');