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資源簡介

LEACH協(xié)議 全稱是“低功耗自適應(yīng)集簇分層型協(xié)議” Low Energy Adaptive Clustering Hierarchy 是一種無線傳感器網(wǎng)絡(luò)路由協(xié)議 基于LEACH協(xié)議的算法 稱為LEACH算法

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代碼片段和文件信息

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%??????????????????????????????????????????????????????????????????????%
%?SEP:?A?Stable?Election?Protocol?for?clustered????????????????????????%
%??????heterogeneous?wireless?sensor?networks??????????????????????????%
%??????????????????????????????????????????????????????????????????????%
%?(c)?Georgios?Smaragdakis?????????????????????????????????????????????%
%?WING?group?Computer?Science?Department?Boston?University???????????%
%??????????????????????????????????????????????????????????????????????%
%?You?can?find?full?documentation?and?related?information?at:??????????%
%?http://csr.bu.edu/sep????????????????????????????????????????????????%
%??????????????????????????????????????????????????????????????????????%??
%?To?report?your?comment?or?any?bug?please?send?e-mail?to:?????????????%
%?gsmaragd@cs.bu.edu???????????????????????????????????????????????????%
%??????????????????????????????????????????????????????????????????????%
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%??????????????????????????????????????????????????????????????????????%
%?This?is?the?LEACH?[1]?code?we?have?used.?????????????????????????????%
%?The?same?code?can?be?used?for?FAIR?if?m=1????????????????????????????%
%??????????????????????????????????????????????????????????????????????%
%?[1]?W.R.Heinzelman?A.P.Chandrakasan?and?H.Balakrishnan?????????????%
%?????“An?application-specific?protocol?architecture?for?wireless??????%?
%??????microsensor?networks“???????????????????????????????????????????%?
%?????IEEE?Transactions?on?Wireless?Communications?1(4):660-6702002??%
%??????????????????????????????????????????????????????????????????????%
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clear;

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%?PARAMETERS?%%%%%%%%%%%%%%%%%%%%%%%%%%%%

%Field?Dimensions?-?x?and?y?maximum?(in?meters)
xm=100;
ym=100;

%x?and?y?Coordinates?of?the?Sink
sink.x=0.5*xm;
sink.y=0.5*ym;

%Number?of?Nodes?in?the?field
n=100

%Optimal?Election?Probability?of?a?node
%to?become?cluster?head
p=0.1;

%Energy?Model?(all?values?in?Joules)
%Initial?Energy?
Eo=0.5;
%Eelec=Etx=Erx
ETX=50*0.000000001;
ERX=50*0.000000001;
%Transmit?Amplifier?types
Efs=10*0.000000000001;
Emp=0.0013*0.000000000001;
%Data?Aggregation?Energy
EDA=5*0.000000001;

%Values?for?Hetereogeneity
%Percentage?of?nodes?than?are?advanced
m=0.1;
%\alpha
a=1;

%maximum?number?of?rounds
rmax=9999

%%%%%%%%%%%%%%%%%%%%%%%%%?END?OF?PARAMETERS?%%%%%%%%%%%%%%%%%%%%%%%%

%Computation?of?do
do=sqrt(Efs/Emp);

%Creation?of?the?random?Sensor?Network
figure(1);
for?i=1:1:n
????S(i).xd=rand(11)*xm;
????XR(i)=S(i).xd;
????S(i).yd=rand(11)*ym;
????YR(i)=S(i).yd;
????S(i).G=0;
????%initially?there?are?no?cluster?heads?only?nodes
????S(i).type=‘N‘;
???
????temp_rnd0=i;
????%Random?Election?of?Normal?Nodes
????if?(te

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