exploring_lora
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exploring_lora [2018/09/27 10:33] – samer | exploring_lora [2018/09/27 16:35] – [4.1. Time on Air] samer | ||
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* How LoRa is compatible with LPWAN requirements and constraints? | * How LoRa is compatible with LPWAN requirements and constraints? | ||
</ | </ | ||
- | ===== -. Hardware Platform | + | |
+ | ===== -. Setting the Lab ===== | ||
+ | |||
+ | ==== -. Hardware Platform ==== | ||
In order to design and implement experiments with LoRa, you will use the following devices: | In order to design and implement experiments with LoRa, you will use the following devices: | ||
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* Give an estimated cost of your platform. | * Give an estimated cost of your platform. | ||
</ | </ | ||
- | ===== -. Software Tools ===== | + | |
+ | ==== -. Software Tools ==== | ||
Download the following software on your PC: | Download the following software on your PC: | ||
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Note well the location of the library folder on your computer. In the following, you will be required to modify source files located in this folder. | Note well the location of the library folder on your computer. In the following, you will be required to modify source files located in this folder. | ||
</ | </ | ||
- | ===== -. Installation | + | |
+ | ==== -. Installation ==== | ||
Start by plugging the Dragino shields on the Arduino devices and mounting the antennas as shown in Fig. 1. | Start by plugging the Dragino shields on the Arduino devices and mounting the antennas as shown in Fig. 1. | ||
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</ | </ | ||
- | ===== -. Theoretical | + | ===== -. Theoretical |
In this section, you will perform a theoretical assessment of the performance of LoRa modulation. You will later compare this theoretical results to the experimental ones as in a typical scientific study. | In this section, you will perform a theoretical assessment of the performance of LoRa modulation. You will later compare this theoretical results to the experimental ones as in a typical scientific study. | ||
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</ | </ | ||
- | ===== -. Running | + | ===== -. Configuring and Running |
- | Start by setting the central frequency of the LoRa modules. For this, open the '' | + | |
- | <file cpp RH_RF95.cpp> | + | ==== -. Modifying the Radio Parameters ==== |
- | setFrequency(868.X); | + | |
- | </ | + | |
- | Download | + | Start by setting |
- | [{{ : | + | ^ Group Number |
- | [{{ : | + | | |
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+ | | 4 | 867.3 | | ||
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- | ===== -. Modifying | + | For this, open the '' |
+ | |||
+ | <file cpp RH_RF95.cpp> | ||
+ | setFrequency(86X.Y); | ||
+ | </ | ||
The typical configuration for LoRa modules consists of 125 kHz sub-channels, | The typical configuration for LoRa modules consists of 125 kHz sub-channels, | ||
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setModemConfig(Bw125Cr45Sf128); | setModemConfig(Bw125Cr45Sf128); | ||
</ | </ | ||
+ | ==== -. Running Basic Sketches ==== | ||
- | In the remainder of this lab, you will conduct measurements to validate | + | Download |
+ | [{{ : | ||
+ | [{{ : | ||
+ | |||
+ | In the remainder of this lab, you will conduct measurements to validate the obtained theoretical receiver sensitivity. | ||
===== -. Performance Evaluation ===== | ===== -. 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:// | 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:// | ||
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==== -. Time on Air ==== | ==== -. 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:// | + | 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:// | ||
<WRAP center round help 100%> | <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. | * 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. |
</ | </ | ||
- | + | ==== -. Packet | |
- | + | ||
- | ==== -. Packet | + | |
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. | 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. |
exploring_lora.txt · Last modified: 2021/10/20 12:52 by samer