Update README.md

README.md

@@ -1,7 +1,81 @@
-## IOT-MAB: Decentralized Intelligent Resource Allocation Approach for LoRaWAN Networks
+# IOT-MAB: Decentralized Intelligent Resource Allocation Approach for LoRaWAN Networks
 
 ## Introduction
 
+## Installation
+It is recommend to use virtualenv to keep your Python environment isolated, together with virtualenvwrapper to make working with virtual environments much more pleasant, e.g.:
+
+```python
+$ pip install virtualenvwrapper
+...
+$ export WORKON_HOME=~/.virtualenvs
+$ mkdir -p $WORKON_HOME
+$ source /usr/local/bin/virtualenvwrapper.sh
+$ mkvirtualenv -p python2 iot_mab
+```
+
+You can install the required packages using the provided requirements.txt file:
+
+```python
+(lorasim)$ pip install -r requirements.txt
+```
+
 ## Usage
 
-## 
+### Synopsis
+
+### Description
+NODES
+
+number of nodes to simulate.
+
+nrIntNODES
+
+number of smart nodes to simulate.
+
+BS
+
+number of base station.
+
+RADIUS
+
+radius to simulate
+
+AVGSEND
+
+average sending interval in milliseconds.
+
+horTime
+
+time to simulate
+
+packetLength
+
+length of packet to simulate
+
+SFSET
+
+set of SF to simulate
+
+FREQSET
+
+set of frequency to simulate
+
+POWSET
+
+set of power to simulate
+
+CAPTURE_EFFECT
+
+capture effect (power collision) or not
+
+INTER_SF_INTERFERENCE
+inter-sf interference
+
+info_mode
+
+information mode to simulate
+
+### Output
+
+The result of every simulation run will be appended to a file named prob..._X.csv, whereby prob..._X. The data file is then plotted into .png file by using matplotlib.