www.gusucode.com > 无线传感器网络定位算法 matlab源代码 包含七个算法matlab源码程序 > Localization/Topology Of WSN/Transmission Model/Logarithmic Attenuation Model/Research On This Model/Fig_Of_Model.m
clear; clc; close all; directory=cd; cd ..; try figure; hold on; grid on; box on; dist=5:5:100; [RSS,RSS_NOFADING]=dist2rss(dist); plot(dist,RSS,'-b*',dist,RSS_NOFADING,'-rd'); xlabel('distance(meter)'); ylabel('RSS(dBm)'); legend('logarithmic attenuation model','regular model'); %~~~~~~~~~~~~~~~~~~~~~~~~ figure; hold on; box on; axis square; comm_r=[30;80]; dist=repmat(comm_r,1,360); polar(0:pi/180:2*pi,[dist(1,:),dist(1,1)],'--k'); polar(0:pi/180:2*pi,[dist(2,:),dist(2,1)],':k'); RSS=dist2rss(dist); dist=rss2dist(RSS); polar(0:pi/180:2*pi,[dist(1,:),dist(1,1)],'-b*'); polar(0:pi/180:2*pi,[dist(2,:),dist(2,1)],'-rd'); legend('30m Disc','80m Disc','RSS为Pr(30)的点','RSS为Pr(80)的点'); %~~~~~~~~~~~~~~~~~~~~~~~~ figure; hold on; box on; comm_r=10:10:100; dist=repmat(comm_r,360,1); RSS=dist2rss(dist); dist=rss2dist(RSS); bar(comm_r,mean(dist),0.3,'w'); errorbar(comm_r,mean(dist),mean(dist)-min(dist),max(dist)-mean(dist),'b.'); plot(comm_r,sqrt(sum((dist-repmat(mean(dist),360,1)).^2)),'-rd'); axis auto; legend('RSS为Pr(X)的点到发送节点的平均距离','RSS为Pr(X)的点到发送节点的最近/远距离','RSS为Pr(X)的点到发送节点距离的标准差'); title('可见:距离发送节点越远,RSS相同的点距离差异越大'); set(gca,'XTick',comm_r); set(gca,'XTickLabel',num2cell(comm_r)); %~~~~~~~~~~~~~~~~~~~~~~~~ %~~~~~~~PS: % logarithmic attenuation model是由Regular model加上Fading component of % RSS得到的。 % 模型介绍具体见~/Transmission Model/readme.bmp和Models_Soln_RIM_TOSN.pdf % 该模型下距离发送节点越远的接受节点受到Fading componen的影响相对较大。 % 毕竟距离在10m以内,一米的距离变化可导致几十db的信号衰落,Fading component几db的影响相对较小。 % 在100m以外,10米的距离变化也不过才几db的信号衰落,这时Fading component几db的影响相对而言是很大的。 %~~~~~~~~~~~~~~~~~~~~~~~~ catch disp('ERROR'); cd(directory); end %~~~~~~~~~~~~~~~~~~~~~~~~ cd(directory);