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https://github.com/kritiksoman/wsn-localization

MATLAB script for node localization in Wireless Sensor Network
https://github.com/kritiksoman/wsn-localization

cvx localization-algorithms matlab-script rss wireless-sensor-networks wsn-localization

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MATLAB script for node localization in Wireless Sensor Network

Host: GitHub
URL: https://github.com/kritiksoman/wsn-localization
Owner: kritiksoman
License: mit
Created: 2018-10-24T08:37:07.000Z (about 6 years ago)
Default Branch: master
Last Pushed: 2019-01-01T05:22:50.000Z (about 6 years ago)
Last Synced: 2023-03-05T05:58:53.826Z (almost 2 years ago)
Topics: cvx, localization-algorithms, matlab-script, rss, wireless-sensor-networks, wsn-localization
Language: MATLAB
Homepage:
Size: 668 KB
Stars: 39
Watchers: 1
Forks: 16
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

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README

        # Node localization in Wireless Sensor Network

[![MIT](https://img.shields.io/badge/license-MIT-brightgreen.svg)](https://github.com/kritiksoman/WSN-Localization/blob/master/LICENSE)

## Overview

This is the MATLAB implementation of the work presented in [RSS-Based Localization in WSNs Using Gaussian Mixture Model via Semidefinite Relaxation](https://ieeexplore.ieee.org/abstract/document/7847378/).

## Files

pathLossModel.m : Plot the path loss model and the histogram of the Gaussian Mixture Model 


estimatePos.m : Returns the estimated target position using SDP in CVX


export_CDF_GM_SDP.m : Creates matrix sdpCDF.mat containing CDF for GM-SDP-2


export_CDF_WLS.m : Creates matrix wlsCDF.mat containing CDF for weighted least square (WLS)


export_crlb.m : Creates matrix crlb.mat containing Cramer-Rao Lower Bound (CRLB) for WSN Localization


export_GM_SDP.m : Creates matrix SDPrmse.mat containing RMSE for GM-SDP-2


export_WLS.m : Creates matrix SDPrmse.mat containing RMSE for WLS


findCrlb.m : Returns CRLB for a particular target and anchor placement 


findRSS.m : Returns the Received Signal Strength (RSS) at all target nodes in a WSN


monteCarloInt.m : Returns the value of monte-carlo integration used in calculating the fisher information matrix


place.m : Used for setting the location of target and anchor nodes in WSN


plot_CDF.m : Used for plotting the CDF of various localization algorithms from their .mat files


plot_RMSE.m : Used for plotting the RMSE of various localization algorithms from their .mat files


Saved output folder contains .mat files of the variables plotted in the result screenshots section.

## Dependencies

```

CVX

Statistics and Machine Learning Toolbox

```

## Result Screenshots

[1] WSN 


| Example WSN|

| ------------- |

|![image1](https://github.com/kritiksoman/WSN-Localization/blob/master/results/WSN.png)| 

[2] Path Loss Model


|Path Loss Model|

| ------------- |

|![image2](https://github.com/kritiksoman/WSN-Localization/blob/master/results/PathLoss.png) |

[3] RMSE and CDF


| RMSE v/s N (number of anchors) | CDF v/s error|

| ------------- |:-------------:| 

|![image1](https://github.com/kritiksoman/WSN-Localization/blob/master/results/RMSE.png)| ![image2](https://github.com/kritiksoman/WSN-Localization/blob/master/results/CDF.png) |

Note: Slightly different anchor placement was used in the WSN localization simulation.

## Steps to obtain results shown above

[1] Edit place.m for changing target and anchor node location.


[2] Run export_GM_SDP.m, export_WLS.m, and export_crlb.m to generate .mat files for RMSE.


[3] Run plot_RMSE.m to plot RMSE vs N.


[4] Run export_CDF_GM_SDP.m, and export_CDF_WLS.m to generate .mat files for CDF.


[5] Run plot_CDF.m to plot CDF vs error.


## References

[1] Zhang, Yueyue, et al. "RSS-based localization in WSNs using Gaussian mixture model via semidefinite relaxation." IEEE Communications Letters 21.6 (2017): 1329-1332.


[2] http://cvxr.com/cvx/