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Fibo_mazumdar.m
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Fibo_mazumdar.m
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clear All;
close all;
clc;
load('mazumdar2.mat');
% figure(1);
DEAD = 0;
S(n+1).yd = 50;
Rmax = 30;
for r= 1:1:2000
% Compute Neigbor desity & neighbor cost
r
dead = 0;
for i=1:1:n
%checking if there is a dead node
if (S(i).RE <= 0)
% plot(S(i).xd,S(i).yd,'red D');
S(i).RE = 0;
dead = dead+1;
S(i).state = 'DEAD';
S(i).type = 'DEAD';
S(i).number_worker = 0;
% hold on;
else
S(i).type = 'N';
S(i).state = 'Initial_State';
S(i).number_worker = 0;
S(i).CH = 0;
% plot(S(i).xd,S(i).yd,'o');
% hold on;
end
end
DEAD(r) = dead;
for i=1:1:n
if S(i).RE > 0
S(i).distoBS = norm([S(i).xd-50 S(i).yd-50]);
number_neighbor_i = 0;
sigma_neigh_cost = 0;
for j=1:1:n
disJToI = norm([S(i).xd-S(j).xd S(i).yd-S(j).yd]);
if (disJToI <= Rmax && disJToI > 0)
number_neighbor_i = number_neighbor_i + 1;
sigma_neigh_cost = sigma_neigh_cost + disJToI^2;
end
end
S(i).neigh_des = number_neighbor_i/n;
S(i).neigh_cost = (sqrt(sigma_neigh_cost/number_neighbor_i))/Rmax;
end
end
% Tinh Fuzzy va Td %
for i= 1:1:n
if (S(i).RE >0 )
% compute Td
Energy_level = S(i).RE/S(i).Initial_energy;
S(i).Fuzzy_fitness1 = evalfis([Energy_level S(i).distoBS], fis1);
% S(i).Fuzzy_fitness2 = evalfis([S(i).neigh_des S(i).neigh_cost], fis2);
alpha = rand(1,1)/10 + 0.9;
S(i).Td = alpha * (1 - S(i).Fuzzy_fitness1) * Tc;
S(i).candidate = [];
% plot(S(i).xd,S(i).yd,'o');
% hold on;
end
end
%Start bau CH
%Sap xep S(i) theo chieu tang dan cua Td
[x, idx] = sort([S.Td]);
S = S(idx);
sink.level = [15 20 25 30];
for i=1:1:n
if S(i).RE > 0
if isequal(S(i).type, 'W')
continue;
else
if isequal(S(i).type, 'N')
for t=1:1:length(sink.level)
if S(i).distoBS <= 10
S(i).rad = 0.9 * 13;
elseif S(i).distoBS <= 15 && S(i).distoBS > 10
S(i).rad = 0.9 * 8;
elseif S(i).distoBS <= 20 && S(i).distoBS > 15
S(i).rad = 0.9 * 5;
elseif S(i).distoBS <= 25 && S(i).distoBS > 20
S(i).rad = 0.9 * 3;
elseif S(i).distoBS <= 30 && S(i).distoBS > 25
S(i).rad = 0.9 * 2;
else
S(i).rad = 0.9 * 1;
end
end
end
% S(i).rad = evalfis([S(i).Fuzzy_fitness1 S(i).Fuzzy_fitness2],fis3);
S(i).type = 'CH';
% plot(S(i).xd,S(i).yd,'k*');
for t=1:1:n
distance = norm([S(i).xd-S(t).xd S(i).yd-S(t).yd]);
if distance <= S(i).rad && distance > 0 && S(i).RE>0 && ~isequal(S(t).type, 'CH')
S(t).candidate = [S(t).candidate S(i).id];
S(t).type = 'W';
end
end
end
end
end
%Remember to sort S
% CheckKKKKKKKKKKKKKKKKs
hamlon = 0;
[x,idx] = sort([S.id]);
S = S(idx);
for i=1:1:n
if isequal(S(i).type, "W")
for z=1:1:length(S(i).candidate)
list_RE = [S(S(i).candidate).RE];
[result, index] = max(list_RE);
S(i).candidate = S(S(i).candidate(index)).id;
S(i).CH = S(i).candidate;
end
end
end
% %==========================FIBONACCI=============================================
% % Set sink level
% % R_priv: Bán kính riêng của từng node
% sink.level = 3.85 * [1 2 3 5 8 13];
% % sink.level = [4 7.6 11.55 19.2 30.7 50.05];
% for i=1:1:n
% if isequal(S(i).type, 'CH')
% for t=1:1:length(sink.level)
% if S(i).distoBS <= sink.level(t)
% S(i).R_priv = sink.level(t);
% end
% end
% % Append CH to candidate
% for j=1:1:n
% if S(j).type == 'W'
% distTOCH = norm([S(i).xd-S(j).xd S(i).yd-S(j).yd]);
% if distTOCH < S(i).R_priv
% S(j).candidate = [S(j).candidate S(i).id];
% end
% end
% end
% % Chon CH theo nang luong
% for k=1:1:n
% if S(k).type == 'W'
% for z=1:1:length(S(k).candidate)
% x = [S(S(k).candidate).RE];
% [a b] = max(x);
% S(k).candidate = S(S(k).candidate(b)).id;
% S(k).CH = S(k).candidate;
% end
% end
% end
% end
% end
%==========================END_FIBONACCI=========================================
% Add worker's number of each CH
for i=1:1:n
number_worker = 0;
if isequal(S(i).type,'CH') && S(i).RE > 0
for j=1:1:n
if isequal(S(j).type, 'W') && S(i).RE > 0
if S(j).candidate == S(i).id
number_worker = number_worker + 1;
end
end
end
end
S(i).number_worker = number_worker;
end
% --- End Bau CH
%Algorithm 2: DFCR routing%
% Calculate level L
for i=1:1:n
S(i).PN = [];
if isequal(S(i).type,'CH') && S(i).RE > 0
S(i).L = ceil(S(i).distoBS/Rmax);
end
end
for i=1:1:n
Cost_election = [];
if isequal(S(i).type,'CH') && S(i).RE > 0
for k=2:1:S(i).L
for j=1:1:n
if isequal(S(j).type,'CH') && S(j).RE > 0
distance = norm([S(i).xd-S(j).yd S(i).yd-S(j).yd]);
if S(i).L > S(j).L && distance <= k * Rmax && S(i).id ~= S(j).id && distance > 0
if ~ismember(S(j).id, S(i).PN)
S(i).PN(length(S(i).PN)+1) = S(j).id;
if distance < d0
Eij = ETX + Efs * (distance^2);
else
Eij = ETX + Emp * (distance^4);
end
TEij = (Eij + ETX)*S(i).number_worker * bit;
phi = (pi - (pi * S(j).RE / (2 * S(j).Initial_energy)));
Wij = exp(1 / (sin(phi)));
Costij = TEij * Wij;
Cost_election = [Cost_election;Costij j TEij];
end
end
end
end
end
if ~isempty(Cost_election)
[a,ida] = min(Cost_election(:,1));
S(i).PN = S(Cost_election(ida,2)).id;
S(i).cost = a;
S(i).TEij = Cost_election(ida,3);
end
end
end
% Routing
%End of routing
for i=1:1:n
if isequal(S(i).type,'W') && S(i).RE > 0
CH = S(i).CH;
distoCH = norm([S(i).xd-S(CH).xd S(i).yd-S(CH).yd]);
if distoCH < d0
S(i).RE = S(i).RE - bit * (ETX + Efs * (distoCH^2));
else
S(i).RE = S(i).RE - bit * (ETX + Emp * (distoCH^4));
end
elseif isequal(S(i).type,'CH') && S(i).RE > 0
%Nang luong nhan
S(i).RE = S(i).RE - (S(i).number_worker + 1) * bit * ETX;
parent = S(i).PN;
%Nang luong truyen
if ~isempty(parent)
distance = norm([S(i).xd-S(parent).xd S(i).yd-S(parent).yd]);
% S(parent).RE = S(parent).RE - S(i).TEij * 10^-1;
if distance < d0
S(i).RE = S(i).RE - (S(i).number_worker + 1) * bit *(ETX + Efs * (distance^2));
else
S(i).RE = S(i).RE - (S(i).number_worker + 1) * bit * (ETX + Emp * (distance^4));
end
else
if S(i).distoBS < d0
S(i).RE = S(i).RE - (S(i).number_worker + 1) * bit * (ETX + Efs * (S(i).distoBS^2));
else
S(i).RE = S(i).RE - (S(i).number_worker + 1) * bit * (ETX + Emp * (S(i).distoBS^4));
end
end
end
end
[S.RE]
end