I need to simulate a wireless sensor network on Matlab or Python using machine learning.
what's the best algorithm or model of machine learning to use?
Dear Rahil,
you can refer to the recent paper in the following link to get out the neural networks suitable for modelling wireless sensor networks: Conference Paper Energy efficient wireless sensor network using neural networ...
You can search for more papers for using neural networks in wireless sensor networks.
Best wishes
You have specify the the particular purpose for WSN. Like If you working on a Routing optimization problem you can use any supervised ML algorithm like fuzzy or decision tree. Specific library for those algorithm easily available in python.
https://github.com/sorend/fylearn
https://pypi.org/project/Fuzzy/
Another state-of -art approach in WSN is data processing. For that you can use any probabilistic method like Bayes, MCMC etc.
All mathematical methods are easily available in pip and Scipy for Pyhton
https://pypi.org/project/bayes/
https://www.scipy.org/
You have specify the the particular purpose for WSN. Like If you working on a Routing optimization problem you can use any supervised ML algorithm like fuzzy or decision tree. Specific library for those algorithm easily available in python.
https://github.com/sorend/fylearn
https://pypi.org/project/Fuzzy/
Another state-of -art approach in WSN is data processing. For that you can use any probabilistic method like Bayes, MCMC etc.
All mathematical methods are easily available in pip and Scipy for Pyhton
https://pypi.org/project/bayes/
https://www.scipy.org/
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