Learning Automata (LA) solutions to the link detection problem in Underwater surveillance networks (USNs)

The current practical solution model can be found in S-model. It is the research in the S-model folder that is associated with Learning to Communicated. A work submitted to the ACM WUWNET 2017 conference.

P-model

The earliest stages of this work utilizing a binary environmental response, corresponding to a discrete-finite number of possible actions corresponding to operating depth. An impractial solution, which becomes intractable in memory as precision increases.

The work in P-model paved a path for a practical continuous control model used in S-model

S-model

This directory contains the current research in link-state detection learning in limited mobility applied to underwataer acoustic sensor networks.

Installation of Dependencies.

All code is written and tested using Python 3.6.x, and requires the following dependencies:

• PIP 3
• scipy for Python 3.6.x (optional)
• numpy for Python 3.6.x

Installation procedures follow for Debian-like GNU/Linux distributions.

To install Python 3.6.x run the following command in the terminal:

sudo apt-get install python3

To verify that Python 3.6.x is installed, in the terminal type:

python3 --version

To install PIP3 run the following command in the terminal:

sudo apt-get install python3-pip

To install scipy run the following command in the terminal:

sudo pip3 install scipy

To install numpy run the following command in the terminal:

sudo pip3 install numpy