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--- exploring_lora [2018/09/27 11:56] – [3.1. Modifying the Radio Parameters] samer
+++ exploring_lora [2018/09/27 17:00] – [3.2. Running Basic Sketches] samer
@@ Line 63: / Line 63: @@
 </WRAP>
+In the remainder of this lab, you will conduct measurements to validate the obtained theoretical receiver sensitivity.
 ===== -. Configuring and Running the Lab =====
 ==== -. Modifying the Radio Parameters ====
-Start by setting the central frequency of the LoRa modules. For this, open the ''RH_RF95.cpp'' file locate in the ''RadioHead'' folder and change the frequency according to the following table:
+Start by setting the central frequency of your LoRa modules according to the following table:
 ^  Group Number  ^   Frequency     ^
@@ Line 82: / Line 83: @@
 |       11       |      868.7      |
 |       12       |      868.9      |
+For this, open the ''RH_RF95.cpp'' file located in the ''RadioHead'' folder and change the frequency using the following command:
 <file cpp RH_RF95.cpp>
-setFrequency(868.X);
+setFrequency(86X.Y);
 </file>
@@ Line 99: / Line 102: @@
 ==== -. Running Basic Sketches ====
-Download the {{ :example-lora-sketch.zip | basic sketches}} that implement a reliable LoRa communication between the two modules. Open the sketches with Arduino IDE, compile and upload on the two arduino modules, respectively. On the serial interfaces, you should obtain similar results as in Fig. 2 and Fig. 3. The client sends a short message and waits for an acknowledgement message from the server. Both modules output the RSSI (received power in dBm) for each received message.
+Download the {{ :sketch-1819.zip | basic sketches}} that implement a simple LoRa communication between the two modules. Open the sketches with Arduino IDE, compile and upload on the two arduino modules, respectively. On the serial interfaces, you should obtain similar results as in Fig. 2 and Fig. 3. The client sends periodically a short message and towards the server. The server outputs the RSSI (received power in dBm) for each received message.
 [{{ :client-iotlab1.png?direct&600 ||Figure 2. Client serial monitor}}]
 [{{ :server-iotlab1.png?direct&600 ||Figure 3. Server serial monitor}}]
-In the remainder of this lab, you will conduct measurements to validate the obtained theoretical receiver sensitivity.
 ===== -. Performance Evaluation =====
 In the following, you will design and implement a set of scenarios that enable to evaluate the performance of the LoRa modulation. As you will deal with scientific assessment, you are required to use scientific tools to show the results. You have the choice between [[http://www.gnuplot.info | gnuplot]], [[https://matplotlib.org/index.html#|matplotlib]] with Python, and MATLAB. Take some time to become familiar with one of these software as you will be required to use them in different occasions of your academic programme.
@@ Line 111: / Line 111: @@
 ==== -. Time on Air ====
-In this section, you will measure the Time on Air (ToA) under the three different radio configurations and for different message sizes. For this, you can start by implementing a function on the client that measures the time necessary for sending a message. For example, you can use the [[https://www.arduino.cc/en/Reference/Micros| micros()]] function available in the arduino libraries.
+In this section, you will measure the Time on Air (ToA) under the three different radio configurations and for different message sizes. The ToA is the time necessary to send a message on the radio interface.
+For this, you can start by implementing a function on the client that measures the time necessary for sending a message. For example, you can use the [[https://www.arduino.cc/en/Reference/Micros| micros()]] function available in the arduino libraries.
 <WRAP center round help 100%>
+  * Join commented extracts of your code and explain your approach for computing the ToA.
   * Draw a box plot of the ToA under the three different radio configurations and for three different message sizes.
-  * Analyze the obtained results and compare with the theoretical computations.
+  * Analyze the obtained results and compare with the theoretical computations. You can superpose the theoretical results and the practical ones on the same graph.
 </WRAP>
+==== -. Packet Delivery Ratio ====
-==== -. Packet Error Rate ====
 In this section, you will measure the Packet Error Rate (PER) under the three different radio configurations and for different transmission periods. For this, you can start by implementing a function on the client that measures the ratio of successfully delivered packets.