current position:Home>Optimal way to position wireless sensor nodes based on particle swarm optimization algorithm to mitigate coverage holes due to any energy depleted nodes Attached Matlab code

Optimal way to position wireless sensor nodes based on particle swarm optimization algorithm to mitigate coverage holes due to any energy depleted nodes Attached Matlab code

2022-11-24 21:22:42matlab research assistant

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Smart optimization algorithmNeural Network PredictionRadar Communication Wireless Sensor

Signal ProcessingImage processingPath PlanningCellular AutomataUAVPower System

Introduction

Wireless Sensor Network (WSN), as the "peripheral nerve" of the Internet of Things, is a wireless self-organizing intelligent group network information system that integrates data perception and collection, fusion processing and information transmission functions.A typical application is to monitor a certain target area and collect various physical information of the objective world that people need. In actual situations, most of the monitoring areas are not directly accessible by humans for deterministic deployment, but can be sensed through random diffusion.The nodes form a WSN in a self-organizing manner. The inherent characteristics of the physical structure of the sensor nodes lead to a limited sensing range, so the coverage of the monitoring area cannot be effectively guaranteed to meet the application requirements. Therefore, if WSN is to be widely used in practice, the coverageThe rate must be guaranteed, which is related to the performance of the network and the quality of service.

Part of the code

function [A,f,tt] = hhspectrum(imf,t,l,aff)

% [A,f,tt] = HHSPECTRUM(imf,t,l,aff) computes the Hilbert-Huang spectrum

%

% inputs:

% - imf : matrix with one IMF per row

% - t : time instants

% - l : estimation parameter for instfreq

% - aff : if 1, displays the computation evolution

%

% outputs:

% - A : amplitudes of IMF rows

% - f : instantaneous frequencies

% - tt : truncated time instants

%

% calls:

% - hilbert : computes the analytic signal

% - instfreq : computes the instantaneous frequency

if nargin < 2

t=1:size(imf,2);

end

if nargin < 3

l=1;

end

if nargin < 4

aff = 0;

end

lt=length(t);

tt=t((l+1):(lt-l));

for i=1:(size(imf,1)-1)

an(i,:)=hilbert(imf(i,:)')';

f(i,:)=instfreq(an(i,:)',tt,l)';

A=abs(an(:,l+1:end-l));

if aff

disp(['mode',int2str(i),' trait?])

end

end

Running results

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References

​[1] Shi Chaoya. Research on Coverage Optimization of Wireless Sensor Networks Based on PSO Algorithm [D]. Nanjing University of Science and Technology.

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